IMM Publications

Group: Intelligent Signal Processing

Journal papers

Submitted

  • Dyrholm, M., Makeig, S., Hansen, L. K., Convolutive ICA for Spatio-Temporal Analysis of EEG, Neural Computation, 2007 [full] [bibtex] [pdf]

  • Dyrholm, M., Hansen, L. K., CICAAR: Convolutive Independent Component Analysis with an Auto-Regressive Inverse Model, Submitted to IEEE Signal Processing Letters, 2003 [full] [bibtex]

  • Fabricius, T., Winther, O., Correcting the Bias of Subtractive Interference Cancellation in CDMA: Advanced Mean Field Theory, IEEE Transactions on Information Theory, 2003 [full] [bibtex] [pdf]

  • Fabricius, T., Winther, O., Analysis of Mean Field Annealing in Substactive Interference Cancellation, IEEE Transactions on Communications, 2002 [full] [bibtex] [pdf]

  • Ferkinghoff-Borg, J., Lehn-Schiøler, T., Winther, O., MCMC for On-line Filtering: The Particle Path Filter, 2006 [full] [bibtex]

  • Frøhling, K. B., Alstrøm, T. S., Bache, M., Schmidt, M. S., Schmidt, M. N., Larsen, J., Jakobsen, M. H., Boisen, A., Surface Enhanced Raman Spectroscopic Study of DNA and 6-mercapto-1-hexanol Interactions Using Large Area Mapping, 2015 [full] [bibtex]

  • Haugbol, S., Pinborg, L. H., Arfan, H. M., Frokjaer, V. M., Madsen, J., Dyrby, T. B., Svarer, C., Knudsen, G. M., Knudsen, G. M., Reproducibility of 5-HT(2A) receptor measurements and sample size estimations with [(18)F]altanserin PET using a bolus/infusion approach, European Journal of Nuclear Medicine and Molecular Imaging, 2006 [full] [bibtex]

  • Jacobsen, D. J., Madsen, K. H., Hansen, L., Bayesian model comparison in non-linear BOLD fMRI hemodynamics, Neural Computation, 2006 [full] [bibtex]

  • Jelsing, J., Hay-Schmidt, A., Dyrby, T., Hemmingsen, R., Uylings, H. B., Pakkenberg, B., The prefrontal cortex of the Göttingen minipig brain defined by neural projection criteria and cytoarchitecture, Brain Research Bulletin, 2006 [full] [bibtex]

  • Madsen, J., Jensen, B. S., Larsen, J., Affective Modeling of Music using Probabilistic Features Representations, IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2015 [full] [bibtex]

  • Nielsen, F. Å., Balslev, D., Hansen, L. K., Non-negative partial least squares for meta-analytic parcellation: A functional atlas for the human brain, 2006 [full] [bibtex] [pdf]

  • Pontoppidan, N. H., Sigurdsson, S., Independent components in acoustic emission energy signals from large diesel engines, International Journal of COMADEM, COMADEM International, 2006 [full] [bibtex] [pdf]

  • Quiñonero-Candela, J., Winther, O., Large Scale Bayesian Learning with the Subspace EM Algorithm, Journal of Machine Learning Research, 2002 [full] [bibtex]

  • Schmidt, M. N., Herlau, T., Mørup, M., Nonparametric Bayesian models of hierarchical structure in complex networks, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2012 [full] [bibtex] [pdf]

  • Wilkowski, B., Hansen, L. K., Context-dependent literature search: a support for functional imaging coordinate-based databases, BMC Bioinformatics, 2011 [full] [bibtex]

  • Winther, O., Petersen, K. B., Flexible and Efficient Implementations of Bayesian Independent Component Analysis, Neurocomputing, 2006 [full] [bibtex] [pdf]

With referee

  • Abrahamsen, T. J., Hansen, L. K., Regularized Pre-image Estimation for Kernel PCA De-noising Input Space Regularization and Sparse Reconstruction, Journal of Signal Processing Systems, vol. 61, Springer New York, 2010 [full] [bibtex]

  • Acar, E., Dunlavy, D. M., Kolda, T. G., Mørup, M., Scalable Tensor Factorizations for Incomplete Data, Chemometrics and Intelligent Laboratory Systems, vol. 106(1), pp. 41-56, 2011 [full] [bibtex]

  • Adali, T., Miller, D. J., Diamantaras, K., Larsen, J., Trends in Machine Learning for Signal Processing, IEEE Signal Processing Magazine, vol. 28(11), pp. 193 - 196, IEEE Press, 2011 [full] [bibtex] [pdf]

  • Andersen, T. S., Mamassian, P., Audiovisual integration of stimulus transients, Vision Research, vol. 48(25), pp. 2537-44, Elsevier, 2008 [full] [bibtex] [pdf]

  • Andersen, M. N., Andersen, K. K., Kammersgaard, L. P., Olsen, T. S., Sex Differences in Stroke Survival: 10-Year Follow-up of the Copenhagen Stroke Study Cohort, Journal of Stroke and Cerebrovascular Diseases, vol. 14(5), pp. 215-220, 2005 [full] [bibtex]

  • Andersen, I. K., Have, A. S., Rasmussen, C. E., Hansson, L., Marstrand, J. R., Larsson, H. B., Hansen, L. K., Perfusion Quantification Using Gaussian Process Deconvolution, Magnetic Resonance in Medicine, vol. 48(2), pp. 351-361, 2002 [full] [bibtex]

  • Andersen, I. K., Sidaros, K., Gesmar, H., Rostrup, E., Larsson, H. B., A model system for perfusion quantification using FAIR, Magnetic Resonance Imaging, vol. 18, pp. 565-574, 2000 [full] [bibtex]

  • Arnfred, S. M., Raballo, A., Mørup, M., Parnas, J., Self-Disorder and Brain Processing of Proprioception in Schizophrenia Spectrum Patients: A Re-Analysis, Psychopathology, vol. 48, pp. 60–64, 2015 [full] [bibtex]

  • Arnfred, S. M. H., Mørup, M., Thalbitzera, J., Jansson, L., Parnas, J., Attenuation of beta and gamma oscillations in schizophrenia spectrum patients following hand posture perturbation, Psychiatry Research, vol. 185(1-2), pp. 215-224, 2011 [full] [bibtex]

  • Arnfred, S. M., Hansen, L. K., Parnas, J., Mørup, M., Regularity increases middle latency evoked and late induced beta brain response following proprioceptive stimulation, Brain Research, vol. 1218, pp. 114 - 131, 2008 [full] [bibtex]

  • Arnfred, S. M., Hansen, L. K., Parnas, J., Mørup, M., Proprioceptive Evoked Gamma Oscillations, Brain Research, vol. 1147, pp. 167-174, 2007 [full] [bibtex]

  • Arngren, M., Schmidt, M. N., Larsen, J., Unmixing of Hyperspectral Image using Bayesian Nonnegative Matrix Factorization with Volume Prior, Journal of Signal Processing Systems, vol. 65(3), pp. 479-496, Springer, 2011 [full] [bibtex] [pdf]

  • Arngren, M., Larsen, J., Hansen, P. W., Eriksen, B., Larsen, R., Analysis of Pre-Germinated Barley using Hyperspectral Image Analysis, Journal of Agricultural and Food Chemistry, vol. 29(21), pp. 11385–11394, ACS Publications, 2011 [full] [bibtex]

  • Babovic, V., Keijzer, M., Genetic programming as a model induction engine, Journal of Hydroinformatics, vol. 2(1), pp. 35-60, 2000 [full] [bibtex]

  • Bache, M., Bosco, F. G., Brøgger, A. L., Frøhling, K. B., Alstrøm, T. S., Hwu, E., Chen, C., Eugen-Olsen, J., Hwang, I., Boisen, A., Nanomechanical recognition of prognostic biomarker suPAR with DVD-ROM optical technology, Nanotechnology, vol. 24(44), 2013 [full] [bibtex]

  • Balslev, D., Nielsen, F. Å., Lund, T. E., Paulson, O. B., Similar brain networks for detecting visuo-motor and visuo-propriceptive synchrony, NeuroImage, vol. 31(1), pp. 308-312, Elsevier, 2006 [full] [bibtex]

  • Balslev, D., Nielsen, F. Å., Paulson, O. B., Law, I., Right Temporoparietal Cortex Activation during Visuo-proprioceptive Conflict, Cerebral Cortex, vol. 15(2), pp. 166-169, Oxford University Press, 2005 [full] [bibtex]

  • Balslev, D., Nielsen, F. Å., Frutiger, S. A., Sidtis, J. J., Christiansen, T. B., Svarer, C., Strother, S. C., Rottenberg, D. A., Hansen, L. K., Paulson, O. B., Law, I., Cluster analysis of activity-time series in motor learning, Human Brain Mapping, vol. 15(3), pp. 135-145, Wiley, 2002 [full] [bibtex]

  • Bose, S., Keller, S. S., Alstrøm, T. S., Boisen, A., Almdal, K., Process optimization of ultrasonic spray coating of polymer films, Langmuir, vol. 29(23), pp. 6911-6919, American Chemical Society, 2013 [full] [bibtex]

  • Calamante, F., Mørup, M., Hansen, L. K., Defining a local arterial input function for perfusion MRI using independent component analysis, Magnetic Resonance in Medicine, vol. 52(4), pp. 789-797, 2004 [full] [bibtex] [pdf]

  • Christensen, M. S., Ramsoy, T. Z., Lund, T. E., Madsen, K. H., Rowe, J. B., An fMRI study of the neural correlates of graded visual perception, Neuroimage, vol. 18(31), pp. 1711-1725, 2006 [full] [bibtex]

  • Christensen, L. P. B., A Low-Complexity Joint Synchronization and Detection Algorithm for Single-Band DS-CDMA UWB Communications, EURASIP, Journal on Applied Signal Processing, UWB - State of the Art, 2005 [full] [bibtex] [pdf]

  • Csato, L., Opper, M., Winther, O., Tractable Inference for Probabilistic Data Models, Complexity, vol. 8(4), pp. 64-68, Wiley, 2003 [full] [bibtex] [pdf]

  • Erritzøe, D., Holst, K., Frøkjær, V. G., Licht, C. L., Kalbitzer, J., Nielsen, F. Å., Svarer, C., Madsen, J., Knudsen, G. M., A nonlinear relationship between cerebral serotonin transporter and 5-HT(2A) receptor binding: an in vivo molecular imaging study in humans, The Journal of Neuroscience, vol. 30(9), pp. 3391-3397, 2010 [full] [bibtex]

  • Fierro, R. D., Hansen, P. C., Hansen, P. K., UTV Tools: Matlab Templates for Rank-Revealing UTV Decompositions, Numerical Algorithms, vol. 20, pp. 165-194, 1999 [full] [bibtex]

  • Frøhling, K. B., Alstrøm, T. S., Bagge, M., Schmidt, M. S., Schmidt, M. N., Larsen, J., Jakobsen, M. H., Boisen, A., Surface Enhanced Raman Spectroscopic Study of DNA and 6-mercapto-1-hexanol Interactions Using Large Area Mapping, Vibrational Spectroscopy, Elsevier, 2016 [full] [bibtex]

  • Frøkjær, V. G., Erritzøe, D., Juul, A., Nielsen, F. Å., Holst, K., Svarer, C., Madsen, J., Paulson, O. B., Knudsen, G. M., Endogenous plasma estradiol in healthy men is positively correlated with cerebral cortical serotonin 2A receptor binding, Psychoneuroendocrinology, vol. 35(9), pp. 1311-1320, Elsevier, 2010 [full] [bibtex]

  • Frøkjær, V. G., Mortensen, E. L., Nielsen, F. Å., Haugbøl, S., Pinborg, L. H., Adams, K. H., Svarer, C., Hasselbalch, S. G., Holm, S., Paulson, O. B., Knudsen, G. M., Frontolimbic serotonin 2A receptor binding in healthy subjects is associated with personality risk factors for affective disorder, Biological Psychiatry, vol. 63(6), pp. 569-576, 2008 [full] [bibtex]

  • Gniadecka, M., Philipsen, P. A., Sigurdsson, S., Wessel, S., Nielsen, O. F., Christensen, D. H., Hercogova, J., Rossen, K., Thomsen, H. K., Gniadecki, R., Hansen, L. K., Wulf, H. C., Melanoma Diagnosis by Raman Spectroscopy and Neural Networks: Structure Alterations in Proteins and Lipids in Intact Cancer Tissue, Journal of Investigative Dermatology, vol. 122(2), pp. 443-449, 2004 [full] [bibtex]

  • Goutte, C., Hansen, L. K., Liptrot, M. G., Rostrup, E., Feature-Space Clustering for fMRI Meta-Analysis, Human Brain Mapping, vol. 13, pp. 165-183, 2001 [full] [bibtex] [ps]

  • Goutte, C., Larsen, J., Adaptive metric kernel regression, speical issue of Journal of VLSI Signal Processing, vol. 26, pp. 155-167, 2000 [full] [bibtex]

  • Goutte, C., Nielsen, F. Å., Hansen, L. K., Modelling the heamodynamic response in fMRI with smooth FIR filters, IEEE Transactions on Medical Imaging, vol. 19(12), pp. 1188+, IEEE, 2000 [full] [bibtex]

  • Goutte, C., Extraction of the relevant delays in temporal modelling, IEEE Transactions on Signal Processing, vol. 48(6), pp. 1787-1795, 2000 [full] [bibtex]

  • Goutte, C., Toft, P., Rostrup, E., Nielsen, F. Å., Hansen, L. K., On Clustering fMRI Time Series, NeuroImage, vol. 9(3), pp. 298-310, Academic Press, 1999 [full] [bibtex]

  • Griskova, I., Mørup, M., Parnas, J., Ruksenas, O., Arnfred, S. M., Two discrete components of the 20 Hz steady-state response are distinguished through the modulation of activation level, vol. 120, pp. 904-909, Clinical Neurophysioly, 2009 [full] [bibtex]

  • Griskova, I., Mørup, M., Parnas, J., Ruksenas, O., Arnfred, S., The amplitude and phase precision of 40 Hz auditory steady-state response depend on the level of arousal, Experimental Brain Research, vol. 183(1), pp. 133-138, 2007 [full] [bibtex]

  • Grotkjær, T., Winther, O., Regenberg, B., Nielsen, J., Hansen, L. K., Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm, Bioinformatics, vol. 22, pp. 58-67, 2006 [full] [bibtex] [pdf] [zip]

  • Haahr, R. G., Duun, S. B., Toft, M. H., Belhage, B., Larsen, J., Birkelund, K., Thomsen, E. V., An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry, IEEE Transactions on Biomedical Circuits and Systems, vol. 6(1), pp. 45-53, IEEE, 2012 [full] [bibtex] [pdf]

  • Hansen, L. K., Multivariate strategies in functional magnetic resonance imaging, Brain and Language, 2007 [full] [bibtex] [pdf]

  • Hansen, L. K., Nielsen, F. Å., Larsen, J., Exploring fMRI Data for Periodic Signal Components, Artificial Intelligence in Medicine, vol. 25, pp. 25-44, 2002 [full] [bibtex]

  • Hansen, L. K., Nielsen, F. Å., Strother, S. C., Lange, N., Consensus Inference in Neuroimaging, vol. 13, pp. 1212-1218, 2001 [full] [bibtex]

  • Hansen, L. K., Nielsen, F. Å., Liptrot, M. G., Strother, S. C., Lange, N., Gade, A., Rottenberg, D. A., Paulson, O. B., "lyngby" a Matlab toolbox for fMRI analysis: Results of a user questionnaire, vol. 13, pp. S145, 2001 [full] [bibtex]

  • Hansen, L. K., Larsen, J., Nielsen, F. Å., Strother, S. C., Rostrup, E., Savoy, R., Lange, N., Sidtis, J., Svarer, C., Paulson, O. B., Generalizable Patterns in Neuroimaging: How Many Principal Components?, NeuroImage, vol. 9, pp. 534-544, 1999 [full] [bibtex]

  • Hansen, L. K., Larsen, J., Linear Unlearning for Cross-Validation, Advances in Computational Mathematics, vol. 5, pp. 269-280, 1996 [full] [bibtex] [pdf] [ps]

  • Hansen, K. V., Larsen, J., An Algorithm for Successive Identification of Reflections, IEEE Transactions on Image Processing, vol. 3(3), pp. 281-291, 1994 [full] [bibtex]

  • Hansen, L. K., Salamon, P., Neural Network Ensembles, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, pp. 993-1001, 1990 [full] [bibtex] [pdf]

  • Haugbøl, S., Pinborg, L. H., Regeur, L., Hansen, E. S., Bolwig, T. G., Nielsen, F. Å., Svarer, C., Skovgaard, L. T., Knudsen, G. M., Cerebral 5-HT2A receptor binding is increased in patients with Tourette's syndrome, The International Journal of Neuropsychopharmacology, vol. 10(2), pp. 245-252, Cambridge University Press, 2007 [full] [bibtex]

  • Have, A. S., Girolami, M. A., Larsen, J., Clustering via Kernel Decomposition, IEEE Transactions on Neural Networks, vol. 17(1), pp. 256-264, 2006 [full] [bibtex] [pdf]

  • Herz, D. M., Christensen, M. S., Reck, C., Florin, E., Barbe, M. T., Stahlhut, C., Pauls, A. M., Tittgemeyer, M., Siebner, H. R., Timmermann, L., Task-specific modulation of effective connectivity during two simple unimanual motor tasks: A 122-channel EEG study, NeuroImage, vol. 59(4), pp. 3187-3193, Elsevier, 2012 [full] [bibtex]

  • Heskes, T., Opper, M., Wiegerinck, W., Winther, O., Zoeter, O., Approximate inference techniques with expectation constraints, Journal of Statistical Mechanics: Theory and Experiment, pp. 11015, 2005 [full] [bibtex] [pdf]

  • Hintz-Madsen, M., Hansen, L. K., Larsen, J., Pedersen, M. W., Larsen, M., Neural Classifier Construction using Regularization, Pruning and Test Error Estimation, Neural Networks, vol. 11(9), pp. 1659-1670, 1998 [full] [bibtex] [pdf]

  • Højen-Sørensen, P., Winther, O., Hansen, L., Analysis of Functional Neuroimages Using ICA Adaptive Binary Sources, Neurocomputing, 2002 [full] [bibtex]

  • Højen-Sørensen, P. A., Winther, O., Hansen, L. K., Mean Field Approaches to Independent Component Analysis, Neural Computation, vol. 14, pp. 889-918, 2002 [full] [bibtex] [pdf]

  • Jørgensen, K. W., Hansen, L. K., Model Selection for Gaussian Kernel PCA Denoising, IEEE Transactions on Neural Networks and Learning Systems, vol. 23(1), pp. 163-167, 2012 [full] [bibtex] [pdf]

  • Kalbitzer, J., Erritzøe, D., Holst, K. K., Nielsen, F. Å., Marner, L., Lehel, S., Arentzen, T., Jernigan, T. L., Knudsen, G. M., Seasonal Changes in Brain Serotonin Transporter Binding in Short Serotonin Transporter Linked Polymorphic Region-Allele Carriers but Not in Long-Allele Homozygotes, Biological Psychiatry, vol. 67(11), pp. 1033-1039, 2010 [full] [bibtex]

  • Kalbitzer, J., Frøkjær, V. G., Erritzøe, D., Svarer, C., Cumming, P., Nielsen, F. Å., Hashemi, S. H., Baaré, W. F. C., Madsen, J., Hasselbalch, S. G., Kringelbach, M. L., Mortensen, E. L., Knudsen, G. M., The personality trait openness is related to cerebral 5-HTT levels, NeuroImage, vol. 45(2), pp. 280-285, Elsevier, 2009 [full] [bibtex]

  • Kereliuk, C., Sturm, B. L., Larsen, J., Deep Learning and Music Adversaries, IEEE Transactions on Multimedia, IEEE, 2015 [full] [bibtex] [pdf]

  • Kjems, U., Hansen, L. K., Anderson, J., The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves, NeuroImage, vol. 15(4), pp. 772-786, 2002 [full] [bibtex]

  • Kjems, U., Storther, S. C., Anderson, J., Law, I., Hansen, L. K., Enhancing the Multivariate Signal of 15O water PET Studies With a New Non-Linear Neuroanatomical Registration Algorithm, IEEE Transactions on Medical Imaging, vol. 18(4), pp. 306-319, 1999 [full] [bibtex] [pdf] [ps]

  • Kupers, R., Frokjaer, V. G., Erritzoe, D., Naert, A., Budtz-Joergensen, E., Nielsen, F. Å., Kehlet, H., Knudsen, G. M., Serotonin transporter binding in the hypothalamus correlates negatively with tonic heat pain ratings in healthy subjects: A [11C]DASB PET study, NeuroImage, vol. 54(2), pp. 1336-1343, Elsevier, 2011 [full] [bibtex]

  • Lange, N., Strother, S. C., Anderson, J. R., Nielsen, F. Å., Holmes, A. P., Kolenda, T., Savoy, R., Hansen, L. K., Plurality and Resemblance in fMRI Data Analysis, NeuroImage, vol. 10(3), pp. 282-303, Elsevier Science, 1999 [full] [bibtex]

  • Larsen, J. E., Stopczynski, A., A Festival-wide Social Network using 2D Barcodes, Mobile Phones and Situated Displays, International Journal of Mobile Human Computer Interaction, vol. 3(3), pp. 14-30, IGI Global, 2011 [full] [bibtex]

  • Larsen, J. E., Petersen, M. K., Zandi, N., Handler, R., Observing Mobile Media Player Application Use in Context using Embedded and Virtual Sensors, Wi: Journal of Mobile Media, 2011 [full] [bibtex]

  • Larsen, A., Madsen, K. H., Lund, T. E., Bundesen, C., Images of illusory motion in primary visual cortex, Journal of Cognitive Neuroscience, vol. 18(7), pp. 1174-1180, 2006 [full] [bibtex]

  • Larsen, J., Have, A. S., Hansen, L. K., Probabilistic Hierarchical Clustering with Labeled and Unlabeled Data, International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 6(1), pp. 56-62, 2002 [full] [bibtex] [pdf] [ps]

  • Larsen, J., Hansen, L. K., Comments for: Rivals, I., & Personnaz L. (2000). Construction of confidence intervals for neural networks based on least squares estimation, Neural Networks, 13, 463-484, Neural Networks, vol. 15(1), pp. 141-142, Elsevier, 2002 [full] [bibtex]

  • Larsen, J., Hansen, L. K., Szymkowiak, A., Christiansen, T., Kolenda, T., Webmining: Learning from the World Wide Web, special issue of Computational Statistics and Data Analysis, vol. 38, pp. 517-532, Elsevier, 2002 [full] [bibtex]

  • Larsen, J., Hansen, L. K., Generalization: The Hidden Agenda of Learning, The Past, Present, and Future of Neural Networks for Signal Processing, IEEE Signal Processing Magazine, pp. 43-45, 1997 [full] [bibtex] [pdf] [ps]

  • Larsen, J., Optimizing Neural Network Architectures Using Generalization Error Estimators, Radiophysics (Russian), vol. 37(9), pp. 1131-1147, 1994 [full] [bibtex]

  • Lawrence, S., Coetzee, F. M., Glover, E., Pennock, D., Flake, G. W., Nielsen, F. Å., Krovetz, R., Kruger, A., Giles, C. L., Persistence of Web References in Scientific Research, IEEE Computer, vol. 34(2), pp. 26-31, 2001 [full] [bibtex]

  • Lehmann, S., Hansen, L. K., Deterministic modularity optimization, European Physical Journal B, 2007 [full] [bibtex] [pdf]

  • Lehmann, S., Jackson, A. D., Lautrup, B. E., Measures for Measures, Nature, vol. 444, pp. 1003-1004, 2006 [full] [bibtex]

  • Lehmann, S., Jackson, A. D., Lautrup, B., Life, Death, and Preferential Attachment, Europhys. Lett., vol. 69(2), pp. 298-303, 2005 [full] [bibtex] [pdf]

  • Lehmann, S., Jackson, A. D., Live and Dead Nodes, Computational & Mathematical Organization Theory, vol. 11, pp. 161-170, 2005 [full] [bibtex] [pdf]

  • Lehmann, S., Lautrup, B. E., Jackson, A. D., Citation Networks in High Energy Physics, Phys. Rev. E, vol. 68, pp. 026113, 2003 [full] [bibtex] [pdf]

  • Lehn-Schiøler, T., Hegde, A., Erdogmus, D., Principe, J. C., Vector-Quantization using Information Theoretic Concepts, Natural Computing, vol. 4, pp. 39--51, Kluwer Academic Publishers, 2005 [full] [bibtex] [pdf]

  • Liow, J. S., Rehm, K., Strother, S. C., Anderson, R. R., Mørch, N., Hansen, L. K., Comparison of voxel- and volume-of-interest-based analyses in FDG PET scans of HIV positive and healthy individuals, Journal of Nuclear Medicine, vol. 41(4), pp. 612-621, 2000 [full] [bibtex]

  • Lukic, A. S., Wernick, M. N., Yang, Y., Hansen, L. K., Arfanakis, K., Strother, S. C., Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages, Transactions on Medical Imaging, 2007 [full] [bibtex] [pdf]

  • Lund, T. E., Madsen, K. H., Sidaros, K., Lou, W. L., Nichols, T., Non-white noise in fMRI: Does modelling have an impact?, Neuroimage, vol. 29(1), pp. 54-66, 2006 [full] [bibtex]

  • Malzahn, D., Opper, M., Learning Curves and Bootstrap Estimates for Inference with Gaussian Processes: A Statistical Mechanics Study, Complexity, vol. 8(4), pp. 57-63, Wiley, 2003 [full] [bibtex] [ps]

  • McKeown, M., Hansen, L. K., Sejnowski, T. J., Independent Component Analysis for fMRI: What is Signal and What is Noise?, Current Opinion in Neurobiology, vol. 13(5), pp. 620-629, 2003 [full] [bibtex] [pdf]

  • Meng, A., Ahrendt, P., Larsen, J., Hansen, L. K., Temporal Feature Integration for Music Genre Classification, vol. 15(5), pp. 1654-1664, IEEE Transactions on Audio and Speech and Language Processing, 2007 [full] [bibtex]

  • Mesgari, M., Okoli, C., Mehdi, M., Nielsen, F. Å., Lanamäki, A., "The sum of all human knowledge": a systematic review of scholarly research on the content of Wikipedia, Journal of the Association for Information Science and Technology, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Morsy, M. K., Zor, K., Kostesha, N., Alstrøm, T. S., Heiskanen, A., El-Tanahi, H., Sharoba, A., Papkovsky, D., Larsen, J., Khalaf, H., Jakobsen, M. H., Emneus, J., Development and Validation of a Colorimetric Sensor Array for Fish Spoilage Monitoring, Food Control, vol. 60, pp. 346-352, Elsevier, 2016 [full] [bibtex]

  • Mørup, M., Hansen, L. K., Archetypal analysis for machine learning and data mining, Neurocomputing, pp. 54-63, 2012 [full] [bibtex]

  • Mørup, M., Schmidt, M. N., Bayesian Community Detection, Neural Computation, 2012 [full] [bibtex]

  • Mørup, M., Applications of tensor (multiway array) factorizations and decompositions in data mining, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 1(1), pp. 24-40, Wiley Interdisciplinary Reviews:, 2011 [full] [bibtex]

  • Mørup, M., Hansen, L. K., Automatic Relevance Determination for Multiway Models, Journal of Chemometrics, Special Issue: In Honor of Professor Richard A. Harshman, vol. 23(7-8), pp. 352 - 363, John Wiley & Sons, Ltd, 2009 [full] [bibtex]

  • Mørup, M., Hansen, L. K., Arnfred, S. M., Algorithms for Sparse Non-negative TUCKER, Neural Computation, vol. 20(8), pp. 2112-2131, 2008 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Arnfred, S. M., Lim, L., Madsen, K. H., Shift Invariant Multilinear Decomposition of Neuroimaging Data, accepted for publication NeuroImage, vol. 42(4), pp. 1439-50, 2008 [full] [bibtex]

  • Mørup, M., Hansen, L. K., Arnfred, S. M., ERPWAVELAB A toolbox for multi-channel analysis of time-frequency transformed event related potentials, Journal of Neuroscience Methods, vol. 161, pp. 361-368, 2007 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Hermann, C. S., Parnas, J., Arnfred, S. M., Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG, NeuroImage, vol. 29(3), pp. 938-947, 2006 [full] [bibtex]

  • Ni, W., Nørgaard, L., Mørup, M., Non-linear calibration models for near infrared spectroscopy, Analytica Chimica Acta, vol. 813, pp. 1-14, 2014 [full] [bibtex]

  • Nielsen, J. B. B., Nielsen, J., Larsen, J., Perception-based Personalization of Hearing Aids using Gaussian Processes and Active Learning, IEEE Transactions on Audio, Speech, and Language Processing, vol. 23(1), pp. 162-173, IEEE, 2015 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Brede tools and federating online neuroinformatics databases, Neuroinformatics, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Lost in localization: A solution with neuroinformatics 2.0?, NeuroImage, vol. 48(1), pp. 11-13, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Scientific citations in Wikipedia, First Monday, vol. 12(8), Edward J. Valauskas, Esther Dyson, Rishab Aiyer Ghosh and the University Library at the University of Illinois at Chicago, 2007 [full] [bibtex] [pdf]

  • Nielsen, K., Madsen, K. H., Frederiksen, J., Leffers, A. M., Lund, T. E., Functional magnetic resonance imaging corresponds to Humphrey perimetry in a patient with pituitary adenoma, Acta Ophthalmologica Scandinavica, vol. 84(2), pp. 267-268, 2006 [full] [bibtex]

  • Nielsen, F. Å., Christensen, M. S., Madsen, K. M., Lund, T. E., Hansen, L. K., fMRI Neuroinformatics, IEEE Engineering in Medicine and Biology Magazine, vol. 25(2), pp. 112-119, IEEE, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Balslev, D., Hansen, L. K., Mining the posterior cingulate: Segregation between memory and pain components, NeuroImage, vol. 27(3), pp. 520-532, Elsevier, 2005 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Balslev, D., Mining for associations between text and brain activation in a functional neuroimaging database, Neuroinformatics, vol. 2(4), pp. 369-380, Humana Press, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Finding related functional neuroimaging volumes, Artificial Intelligence in Medicine, vol. 30(2), pp. 141-151, Elsevier, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Modeling of activation data in the BrainMapTM database: Detection of outliers, Human Brain Mapping, vol. 15(3), pp. 146-156, 2002 [full] [bibtex]

  • Okoli, C., Mehdi, M., Mesgari, M., Nielsen, F. Å., Lanamäki, A., Wikipedia in the eyes of its beholders: a systematic review of scholarly research on Wikipedia readers and readership, Journal of the Association for Information Science and Technology, vol. 65(12), pp. 2381-2403, 2014 [full] [bibtex] [pdf]

  • Olsson, R. K., Petersen, K. B., Lehn-Schiøler, T., State-space models - from the EM algorithm to a gradient approach, Neural Computation, vol. 19(4), pp. 1097-1111, 2007 [full] [bibtex]

  • Olsson, R. K., Hansen, L. K., Linear State-space Models for Blind Source, Journal of Machine Learning Research, vol. 7, pp. 2585-2602, 2006 [full] [bibtex] [pdf]

  • Opper, M., Winther, O., Expectation Consistent Approximate Inference, Journal of Machine Learning Research, vol. 6, pp. 2177-2204, 2005 [full] [bibtex] [pdf] [zip]

  • Opper, M., Winther, O., Approximate Inference in Probabilistic Models, Lecture Notes in Artificial Intelligence, vol. 3244, pp. 494-504, 2004 [full] [bibtex]

  • Opper, M., Winther, O., Adaptive and Self-averaging Thouless-Anderson-Palmer Mean Field Theory for Probabilistic Modeling, Physical Review E, vol. 64, pp. 056131, 2001 [full] [bibtex] [pdf]

  • Opper, M., Winther, O., Tractable Approximations for Probabilistic Models: The Adaptive Thouless-Anderson-Palmer Mean Field Approach, Phys. Rev. Lett., vol. 86, pp. 3695-3699, 2001 [full] [bibtex] [pdf]

  • Pedersen, M. S., Wang, D., Larsen, J., Kjems, U., Two-microphone Separation of Speech Mixtures, IEEE Transactions on Neural Networks, vol. 19(3), pp. 475-492, IEEE Press, 2008 [full] [bibtex] [pdf]

  • Pennock, D. M., Lawrence, S., Giles, C. L., Nielsen, F. Å., The Real Power of Artificial Markets, Science, vol. 291(5506), pp. 987-988, 2001 [full] [bibtex]

  • Petersen, K. B., Hao, J., Lee, T., Generative and Filtering Approaches for Overcomplete Representations, Neural Information Processing - Letters and Reviews, vol. 8(1), 2005 [full] [bibtex]

  • Petersen, K. B., Winther, O., Hansen, L. K., On the Slow Convergence of EM and VBEM in Low-Noise Linear Models, Neural Computation, vol. 17(9), pp. 1921-1926, 2005 [full] [bibtex]

  • Pontoppidan, N. H., Sigurdsson, S., Larsen, J., Condition monitoring with Mean field independent components analysis, Mechanical Systems and Signal Processing, vol. 19(6), pp. 1337-1347, Elsevier, 2005 [full] [bibtex]

  • Regenberg, B., Grotkjær, T., Winther, O., Fausbøll, A., Åkesson, M., Bro, C., Hansen, L. K., Brunak, S., Nielsen, J., Growth-rate regulated genes have profound impact on interpretation of transcriptome profiling in Saccharomyces cerevisiae, Genome Biology, vol. 7, pp. R107, 2006 [full] [bibtex] [pdf]

  • Schmidt, M. N., Mørup, M., Non-parametric Bayesian modeling of complex networks. An introduction, IEEE Signal Processing Magazine, vol. 30(3), pp. 110-128, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2013 [full] [bibtex] [pdf]

  • Schmidt, M. N., Laurberg, H., Non-negative matrix factorization with Gaussian process priors, Computational Intelligence and Neuroscience, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2008 [full] [bibtex] [pdf]

  • Sidaros, K., Andersen, I. K., Gesmar, H., Rostrup, E., Larsson, H. B. W., Improved perfusion quantification in FAIR imaging by offset correction, Magnetic Resonance in Medicine, vol. 46(1), pp. 193-197, 2001 [full] [bibtex]

  • Sigurdsson, S., Philipsen, P. A., Hansen, L. K., Larsen, J., Gniadecka, M., Wulf, H. C., Detection of skin cancer by classification of Raman spectra, IEEE Transactions on Biomedical Engineering, vol. 51(10), pp. 1784 - 1793, 2004 [full] [bibtex] [pdf]

  • Stahlhut, C., Mørup, M., Winther, O., Hansen, L. K., Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) using a Hierarchical Bayesian Approach, Journal of Signal Processing Systems, Springer New York, 2010 [full] [bibtex]

  • Stephen, L., Rottenberg, D., Strother, S., Anderson, J., Muley, S., Ashe, J., Frutiger, S., Rehm, K., Hansen, L. K., Yacoub, E., Hu, X., The Evaluation of Preprocessing Choices in Single-Subject BOLD fMRI Using NPAIRS Performance Metrics, NeuroImage, vol. 18(1), pp. 10-27, 2003 [full] [bibtex]

  • Stopczynski, A., Larsen, J. E., Skomial, L., Mobile Context Toolbox - An Extensible Context Framework for the Maemo Platform, LUT Journal, 2011 [full] [bibtex]

  • Strother, S. C., La Conte, S., Hansen, L. K., Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis, NeuroImage, vol. 23(S1), pp. S196-S207, Elsevier, 2004 [full] [bibtex] [pdf]

  • Strother, S. C., Anderson, J., Hansen, L. K., The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS, NeuroImage, vol. 15(4), pp. 747-771, 2002 [full] [bibtex]

  • Thøgersen, J. C., Mørup, M., Damkiær, S., Molin, S., Jelsbak, L., Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways, BMC Bioinformatics, vol. 14(279), 2013 [full] [bibtex]

  • Tobias, A. S., Tiippana, K., Laarni, J., Kojo, I., Sams, M., The role of visual spatial attention in audiovisual speech perception, Speech Communication, vol. 51(2), pp. 184-193, Elsevier, 2009 [full] [bibtex] [pdf]

  • Winther, O., Krogh, A., Teaching Computers to Fold Proteins, Physical Review E, vol. 70, pp. 4, 2004 [full] [bibtex] [pdf]

  • Yang, J., Palla, M., Bosco, F. G., Rindzevicius, T., Alstrøm, T. S., Schmidt, M. S., Boisen, A., Ju, J., Lin, Q., Surface-Enhanced Raman Spectroscopy Based Quantitative Bioassay on Aptamer-Functionalized Nanopillars Using Large-Area Raman Mapping, ACS nano, vol. 7(6), pp. 5350-5359, 2013 [full] [bibtex]

General scientific subjects

  • Hansen, L. K., Stilhed før fremtiden, Jyllandspostens kronik, 12. november, November, 2005 [full] [bibtex] [pdf]

  • Karlsen, B., Sørensen, H. B., Larsen, J., Jakobsen, K. B., Statistical Signal Processing in Humanitarian Mine Clerance Systems, DSP Tidende, no. 13, Dansk Selskab for Anvendt Digital Signalbehandling, 2002 [full] [bibtex] [pdf]

  • Lehmann, S., Mellem kæmper og fodnoter, Aktuel Naturvidenskab, vol. 5, pp. 30, 2006 [full] [bibtex]

  • Lehmann, S., Lehn-Schiøler, T., Sigurdsson, S., Feministisk Gennembrud ved OL i 2636, Ingeniøren, no. 44, pp. Bagsiden, 2004 [full] [bibtex] [pdf]

  • Paulson, O. B., Born, P., Bundesen, C., Gade, A., Gerlach, C., Hansen, L. K., Holm, S., Jensen, M., Kyllingsbæk, S., Larsen, A., Law, I., Rostrup, E., Svarer, C., Den arbejdende hjerne - hvordan kan den se ud?, Ugeskrift for læger, vol. 164, pp. 2267-2275, 2002 [full] [bibtex]

Conference papers

Submitted

  • Hansen, L. K., Arvidsson, A., Nielsen, F. A., Colleoni, E., Etter, M., Good Friends, Bad News - Affect and Virality in Twitter, The 2011 International Workshop on Social Computing, Network, and Services (SocialComNet 2011), 2011 [full] [bibtex] [pdf]

  • Jimeno-Yepes, A., Wilkowski, B., Mork, J. G., Van Lenten, E., Demner Fushman, D., Aronson, A. R., A bottom-up approach to MEDLINE indexing recommendations, AMIA 2011, 2011 [full] [bibtex]

  • Madsen, R. E., Kauchak, D., Elkan, C., Approximating The Dirichlet Compound Multinomial Distribution, Neural Information Processing Systems, 2005 [full] [bibtex]

  • Nielsen, F. Å., Etter, M., Hansen, L. K., Real-time monitoring of sentiment in business related Wikipedia articles, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, J. B., Jensen, B. S., Hansen, T. J., Fast and flexible elicitation of preference in complex audio systems, 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013 [full] [bibtex]

  • Weddin, M., Winther, O., Frame Selection for Speaker Identification, 2005 [full] [bibtex] [pdf]

  • Wilkowski, B., Fiszman, M., Miller, C. M., Hristovski, D., Arabandi, S., Rosemblat, G., Rindflesch, T. C., Discovery Browsing with Semantic Predications and Graph Theory, AMIA 2011, 2011 [full] [bibtex]

With referee

  • Abrahamsen, T. J., Hansen, L. K., Input Space Regularization Stabilizes Pre-images for Kernel PCA De-noising, IEEE Workshop on Machine Learning for Signal Processing (MLSP), 2009 [full] [bibtex]

  • Acar, E., Dunlavy, D. M., Kolda, T. G., Mørup, M., Scalable Tensor Factorizations with Missing Data, Proceedings of the 2010 SIAM International Conference on Data Mining, pp. 701-712, 2010 [full] [bibtex]

  • Ahrendt, P., Goutte, C., Larsen, J., Co-occurrence Models in Music Genre Classification, IEEE International workshop on Machine Learning for Signal Processing, pp. 247-252, 2005 [full] [bibtex] [pdf]

  • Ahrendt, P., Meng, A., Larsen, J., Decision Time Horizon for Music Genre Classification using Short Time Features, EUSIPCO, pp. 1293--1296, 2004 [full] [bibtex] [pdf]

  • Albers, K. J., Moth, A. L. A., Mørup, M., Schmidt, M. N., Large Scale Inference in the Infinite Relational Model: Gibbs Sampling is not Enough, Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on, 2013 [full] [bibtex]

  • Alstrøm, T. S., Schmidt, M. N., Rindzevicius, T., Boisen, A., Larsen, J., A Pseudo-Voigt Component Model for High-Resolution Recovery of Constituent Spectra in Raman Specttroscopy, International Conference on Acostics Speech and Signal Processing, IEEE Press, 2017 [full] [bibtex] [pdf]

  • Alstrøm, T. S., Bosco, F. G., Larsen, J., Bache, M., Brøgger, A. L., Frøhling, K. B., Hwu, E., Chen, C., Hwang, I., Boisen, A., Characterization of the bending response of microcantilevers using a statistical approach, Proceedings of the 11th Nanomechanical Sensing Workshop, 2014 [full] [bibtex]

  • Alstrøm, T. S., Frøhling, K. B., Larsen, J., Schmidt, M. N., Bache, M., Schmidt, M. S., Jakobsen, M. H., Boisen, A., Improving The Robustness Of Surface Enhanced Raman Spectroscopy Based Sensors By Bayesian Non-Negative Matrix Factorization, IEEE International Workshop on Machine Learning for Signal Processing, 2014 [full] [bibtex]

  • Alstrøm, T. S., Jensen, B. S., Schmidt, M. N., Kostesha, N. V., Larsen, J., Haussdorff and Hellinger for Colorimetric Sensor Array Classification, IEEE International Workshop on Machine Learning for Signal Processing, 2012 [full] [bibtex] [pdf]

  • Alstrøm, T. S., Raich, R., Kostesha, N. V., Larsen, J., Feature Extraction Using Distribution Representation For Colorimetric Sensor Arrays Used As Explosives Detectors, ICASSP 2012, IEEE Press, 2012 [full] [bibtex] [pdf]

  • Alstrøm, T. S., Larsen, J., Kostesha, N. V., Jakobsen, M. H., Boisen, A., Data representation and feature selection for colorimetric sensor arrays used as explosives detectors, IEEE International Workshop on Machine Learning for Signal Processing, IEEE Press, 2011 [full] [bibtex] [pdf]

  • Alstrøm, T. S., Larsen, J., Nielsen, C. H., Larsen, N. B., Data–driven modeling of nano-nose gas sensor arrays, Signal Processing, Sensor Fusion, and Target Recognition XIX, vol. 7697(1), pp. 76970U, The International Society for Optical Engineering, 2010 [full] [bibtex] [pdf]

  • Ambrosen, K. S., Herlau, T., Dyrby, T., Schmidt, M. N., Mørup, M., Comparing Structural Brain Connectivity by the Infinite Relational Model, Pattern Recognition in Neuroimaging (PRNI), 2013 International Workshop on, pp. 50-53, 2013 [full] [bibtex]

  • Andersen, K. W., Mørup, M., Siebner, H., Madsen, K. H., Hansen, L. K., Identifying Modular Relations In Complex Brain Networks, Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on, pp. 1-6, 2012 [full] [bibtex] [pdf]

  • Andersen, K. W., Madsen, K. H., Siebner, H., Hansen, L. K., Mørup, M., Identification of functional clusters in the striatum using infinite relational modeling, Machine Learning and Interpretation in Neuroimaging. International Workshop, MLINI 2011, pp. 226-233, Springer Berlin Heidelberg, 2012 [full] [bibtex] [pdf]

  • Andersen, M. N., Andersen, R. Ø., Wheeler, K., Filtering in hybrid dynamic Bayesian networks, International Conference on Acoustics, Speech, and Signal Processing, pp. 773-776, 2004 [full] [bibtex] [pdf]

  • Arenas-García, J., Meng, A., Petersen, K. B., Schiøler, T. L., Hansen, L. K., Larsen, J., Unveiling Music Structure Via PLSA Similarity Fusion, IEEE International Workshop on IEEE International Workshop on Machine Learning for Signal Processing, pp. 419-424, IEEE Press, 2007 [full] [bibtex] [pdf]

  • Arenas-García, J., Petersen, K. B., Hansen, L. K., Sparse kernel orthonormalized PLS for feature extraction in large datasets, NIPS 2006, 2006 [full] [bibtex] [pdf]

  • Arenas-García, J., Larsen, J., Hansen, L. K., Meng, A., Optimal filtering of dynamics in short-time features for music organization, 7th International Conference on Music Information Retrieval (ISMIR 2006), 2006 [full] [bibtex] [pdf]

  • Arenas-Garía, J., Moriana-Varo, C., Larsen, J., Combination of supervised and semi-supervised regression models for improved unbiased estimation, Proceedings of the Seventh International Symposium on Wireless Communication Systems (ISWCS2010), pp. 364 - 368, IEEE Press, 2010 [full] [bibtex] [pdf]

  • Arngren, M., Schmidt, M. N., Larsen, J., Bayesian Nonnegative Matrix Factoization with Volume Constraints for Unmixing af Hyperspectral Images, 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2009), IEEE Press, 2009 [full] [bibtex] [pdf]

  • Bache, M., Bosco, F. G., Mikowska, L., Alstrøm, T. S., Hwu, E., Chen, C., Eugen-Olsen, J., Hwang, I., Boisen, A., Improving the detection limit of an inflammatory protein assay on a micro cantilever and DVD readout system, 2014 [full] [bibtex]

  • Beierholm, T., Pedersen, B. D., Winther, O., Low Complexity Bayesian Single Channel Source Separation, ICASSP'2004, 2003 [full] [bibtex] [pdf]

  • Bjerre, T., Henriksen, J., Rasmussen, P. M., Nielsen, C. H., Hansen, L. K., Madsen, K. R., Unified ICA-SPM analysis of fMRI experiments - Implementation of an ICA graphical user interface for the SPM pipeline, Proceedings of BIOSTEC - BIOSIGNALS 2009 Conference, 2009 [full] [bibtex] [pdf]

  • Burger, R., Antunes, P., Donolato, M., Alstrøm, T. S., Nielsen, L. K., Dziegiel, M. H., Hansen, M. F., Boisen, A., A Centrifugal Microfluidic Platform for Biomarker Detection in Blood using BluRay Technology, 24th Anniversary World Congress of Biosensors, 2014 [full] [bibtex]

  • Bödvarsson, B., Hansen, L. K., Svarer, C., Knudsen, G. M., NMF on positron emission tomography, International conference on acoustics, speech and signal processing 2007, ICASSP., 2007 [full] [bibtex]

  • Calhoun, V. D., Adali, T., Hansen, L. K., Larsen, J., Pekar, J. J., ICA of Functional MRI Data: An Overview, Fourth International Symposium on Independent Component Analysis and Blind Source Separation, pp. 281-288, 2003 [full] [bibtex] [pdf]

  • Carstensen, S. L., Madsen, J., Larsen, J., Predicting Changes in Affective States using Neural Networks, NIPS 2016 Workshop on Machine Learning for Health, Arxiv, 2016 [full] [bibtex] [pdf]

  • Christensen, L. P. B., An EM-algorithm for Band-Toeplitz Covariance Matrix Estimation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2007 [full] [bibtex] [pdf]

  • Christensen, L. P. B., Larsen, J., On Data and Parameter Estimation Using the Variational Bayesian EM-algorithm for Block-fading Frequency-selective MIMO Channels, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006 [full] [bibtex] [pdf]

  • Christensen, L. P. B., Minimum Symbol Error Rate Detection in Single-Input Multiple-Output Channels with Markov Noise, The 6th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2005 [full] [bibtex] [pdf]

  • Clückstad, F. K., Mørup, M., Feature-based Ontology Mapping from an Information Receivers’ Viewpoint, 9th Int. Workshop on Natural Language Processing and Cognitive Science (NLPCS 2012): In Conjunction with ICEIS 2012, pp. 34-43, 2012 [full] [bibtex]

  • Csato, L., Opper, M., Winther, O., TAP Gibbs Free Energy, Belief Propagation and Sparsity, Advances in Neural Information Processing Systems 14 (NIPS'2001), MIT Press, 2002 [full] [bibtex] [pdf]

  • Dyrholm, M., Makeig, S., Hansen, L. K., Model structure selection in convolutive mixtures, 6th International Conference on Independent Component Analysis and Blind Source Separation, 2006 [full] [bibtex] [pdf]

  • Dyrholm, M., Hansen, L. K., CICAAR: Convolutive ICA with an Auto-Regressive Inverse Model, Independent Component Analysis and Blind Signal Separation, vol. 3195, pp. 594-601, Springer, 2004 [full] [bibtex] [pdf]

  • Fabricius, T., Winther, O., Improved Multistage Detector by Mean-Field Annealing in Multi-User CDMA, Proceedings of IEEE Intelligent Signal Processing, Applications, and Communication Systems, 2002 [full] [bibtex] [pdf]

  • Fabricius, T., Kidmose, P., Hansen, L. K., Dynamic Components of Linear Stable Mixtures from Fractional Low Order Moments, Proceedings of International Conference on Acoustics, Speech and Signal Processing, ICASSP2001, pp. 3957-3960, IEEE PRESS, 2001 [full] [bibtex]

  • Feng, L., Hansen, L. K., On Phonemes as Cognitive Components of Speech, The 1st IAPR Workshop on Cognitive Information Processing, 2008 [full] [bibtex] [pdf]

  • Feng, L., Hansen, L. K., Is Cognitive Activity of Speech Based On Statistical Independence?, CogSci 2008 - 30th Annual Meeting of the Cognitive Science Society, 2008 [full] [bibtex] [pdf]

  • Feng, L., Nielsen, A. B., Hansen, L. K., VOCAL SEGMENT CLASSIFICATION IN POPULAR MUSIC, ISMIR08, 2008 [full] [bibtex]

  • Feng, L., Hansen, L. K., COGNITIVE COMPONENTS OF SPEECH AT DIFFERENT TIME SCALES, CogSci 2007, 2007 [full] [bibtex] [pdf]

  • Feng, L., Hansen, L. K., PHONEMES AS SHORT TIME COGNITIVE COMPONENTS, International Conference on Acoustics, Speech and Signal Processing (ICASSP'06), vol. V, pp. 869-872, 2006 [full] [bibtex] [pdf]

  • Feng, L., Hansen, L. K., On low level cognitive components of speech, International Conference on Computational Intelligence for Modelling (CIMCA'05), vol. 2, pp. 852-857, 2005 [full] [bibtex] [pdf]

  • Forchhammer, S., Fosgerau, A., Hansen, P. S. K., Sharp, R., Todirica, E., Zsigri, A., Video Conferencing for a Virtual Seminar Room, 4th International Conference on Digital Signal Processing and its Applications, 2002 [full] [bibtex] [pdf]

  • Girard, A., Rasmussen, C. E., Quiñonero-Candela, J., Murray-Smith, R., Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting, Neural Information Processing Systems, 2003 [full] [bibtex] [ps]

  • Glückstad, F. K., Mørup, M., Application of the Infinite Relational Model combined with the Bayesian Model of Generalization for Effective Cross-Cultural Knowledge Transfer, Proceedings of the 26th Annual Conference of the Japanese Society for Artificial Intelligence, 2012 [full] [bibtex]

  • Glückstad, F. K., Mørup, M., Flexible- or Strict Taxonomic Organization?: Impact on Culturally-Specific Knowledge Transfer, Proceedings of the 10th International Conference on Terminology and Knowledge Engineering, 2012 [full] [bibtex]

  • Halling, S. C., Sigurdsson, M., Larsen, J. E., Knudsen, S., Hansen, L. K., MuZeeker : a domain specific Wikipedia-based search engine, The First International Workshop on Mobile Multimedia Processing WMMP2008, 2008 [full] [bibtex] [pdf]

  • Hansen, L. K., Karadogan, S., Marchegiani, L., What to measure next to improve decision making? On top-down task driven feature saliency, 2011 [full] [bibtex]

  • Hansen, T. J., Mørup, M., Hansen, L. K., Non-parametric co-clustering of large scale sparse bipartite networks on the GPU, 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2011 [full] [bibtex]

  • Hansen, M., Christensen, L. P. B., Winther, O., On Sphere Detection and Minimum-phase Prefiltered Reduced-State Sequence Estimation, IEEE Globecom, 2007 [full] [bibtex]

  • Hansen, L. K., Lehn-Schiøler, T., Petersen, K. B., Arenas-Garcia, J., Larsen, J., Jensen, S. H., Learning and clean-up in a large scale music database, EUSIPCO 2007, 2007 [full] [bibtex] [pdf]

  • Hansen, L. K., Feng, L., Cogito Componentiter Ergo Sum, ICA2006 - 6th International Conference on Independent Component Analysis and Blind Source Separation, pp. 446 - 453, 2006 [full] [bibtex] [pdf]

  • Hansen, L. K., Madsen, K. H., Lehn-Schiøler, T., Adaptive regularization of noisy linear inverse problems, Eusipco, 2006 [full] [bibtex] [pdf]

  • Hansen, L. K., Ahrendt, P., Larsen, J., Towards Cognitive Component Analysis, AKRR'05 -International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, Pattern Recognition Society of Finland, Finnish Artificial Intelligence Society, Finnish Cognitive Linguistics Society, 2005 [full] [bibtex] [pdf]

  • Hansen, L. K., Petersen, K. B., Monaural ICA of white noise mixtures is hard, Proceedings of ICA'2003 Fourth Int. Symp.. on Independent Component Analysis and Blind Signal Separation, Nara Japan, April 4,, pp. 815-820, 2003 [full] [bibtex] [pdf]

  • Hansen, L. K., Dyrholm, M., A prediction matrix approach to convolutive ICA, Proceedings of IEEE Workshop on Neural Networks for Signal Processing XIII Toulouse, France, Sept. 17-19, 2003, pp. 249-258, IEEE Press, 2003 [full] [bibtex] [pdf]

  • Hansen, L. K., Larsen, J., Kolenda, T., Blind Detection of Independent Dynamic Components, IEEE International Conference on Acoustics, Speech, and Signal Processing 2001, vol. 5, pp. 3197--3200, 2001 [full] [bibtex] [pdf]

  • Hansen, L. K., Sigurdsson, S., Kolenda, T., Nielsen, F. Å., Kjems, U., Larsen, J., Modeling text with generalizable gaussian mixtures, International conference on acoustics, speech and signal processing, vol. 4, pp. 3494-3497, 2000 [full] [bibtex] [pdf]

  • Hansen, L. K., Bayesian Averaging is Well-Temperated, Proceedings of NIPS 99, Denver, November 29 - December 4, 1999, pp. 265-271, 2000 [full] [bibtex]

  • Hansen, L. K., Bayesian Averaging is Well-Temperated, Advances in Neural Information Processing Systems 1999, pp. 265-271, MIT Press, 2000 [full] [bibtex] [pdf]

  • Have, A. S., Larsen, J., Hansen, L. K., Philipsen, P. A., Thieden, E., Wulf, H. C., Clustering of Sun Exposure Measurements, Proceedings of IEEE Workshop on Neural Networks for Signal Processing XII, pp. 727-735, IEEE Press, 2002 [full] [bibtex] [pdf]

  • Hegde, A., Erdogmus, D., Lehn-Schiøler, T., Rao, Y., Principe, J., Vector-Quantization by density matching in the minimum Kullback-Leibler divergence sense, IEEE International Conference on Neural Networks - Conference Proceedings, vol. 1, pp. 105--109, 2004 [full] [bibtex] [pdf]

  • Herlau, T., Mørup, M., Schmidt, M. N., Modeling Temporal Evolution and Multiscale Structure in Networks, Proceedings of the 30th International Conference on Machine Learning. JMLR: W&CP, vol. 28(3), pp. 960-968, 2013 [full] [bibtex]

  • Herlau, T., Mørup, M., Schmidt, M. N., Hansen, L. K., Detecting Hierarchical Structure in Networks, Cognitive Information Processing, 2012 [full] [bibtex] [pdf]

  • Herlau, T., Mørup, M., Schmidt, M. N., Hansen, L. K., Modeling dense relational data, Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on, 2012 [full] [bibtex]

  • Højen-Sørensen, P. A., Winther, O., Hansen, L. K., Ensemble Learning and Linear Response Theory for ICA, Advances in Neural Information Processing Systems 13, vol. 13, pp. 542-548, MIT Press, 2001 [full] [bibtex]

  • Højen-Sørensen, P., Hansen, L., Winther, O., Mean Field Implementation of Bayesian ICA, In proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation (ICA2001), Institute of Neural Computation, 2001 [full] [bibtex] [pdf]

  • Højen-Sørensen, P., Hansen, L. K., Rasmussen, C. E., Bayesian Modelling of fMRI Time Series, Proceedings of NIPS 99, Denver, November 29 - December 4, 1999, pp. 754-760, 2000 [full] [bibtex]

  • Jacobsen, D. J., Madsen, K. H., Hansen, L., Identification of non-linear models of neural activity in bold fmri, 3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, pp. 952-955, 2006 [full] [bibtex]

  • Jensen, B. S., Nielsen, J. B. B., Larsen, J., Perspectives on Bayesian Optimization for HCI, CHI'15 Workshop on Principles, Techniques and Perspectives on Optimization and HCI, 2015 [full] [bibtex] [pdf]

  • Jensen, B. S., Nielsen, J. B., Larsen, J., Bounded Gaussian Process Regression, IEEE International Workshop on Machine Learning for Signal Processing, 2013 [full] [bibtex] [pdf]

  • Jensen, B. S., Troelsgård, R., Larsen, J., Hansen, L. K., Towards a universal representation for audio information retrieval and analysis, 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013 [full] [bibtex] [pdf] [zip]

  • Jensen, B. S., Gallego, J. S., Larsen, J., A Predictive Model of Music Preference using Pairwise Comparisons, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE Press, 2012 [full] [bibtex] [pdf]

  • Jensen, B. S., Nielsen, J. B., Larsen, J., Efficient preference learning with pairwise continuous observations and Gaussian Processes, 2009 IEEE International Workshop on Machine Learning for Signal Processing, IEEE Press, 2011 [full] [bibtex] [pdf]

  • Jensen, B. S., Nielsen, J. B., Larsen, J., Efficient Preference Learning with Pairwise Continuous Observations and Gaussian Processes, IEEE International Workshop on Machine Learning for Signal Processing, 2011 [full] [bibtex] [pdf]

  • Jensen, B. S., Hansen, L. K., Larsen, J., Larsen, J. E., Jensen, K., Predictability of Mobile Phone Associations, 21st European Conference on Machine Learning, pp. 91-105, 2010 [full] [bibtex]

  • Jensen, B. S., Larsen, J. E., Jensen, K., Larsen, J., Hansen, L. K., Estimating Human Predictability From Mobile Sensor Data, IEEE International Workshop on Machine Learning for Signal Processing, 2010 [full] [bibtex]

  • Jensen, T., Suun, S., Larsen, J., Haahr, R. G., Toft, M. H., Belhage, B., Thomsen, E. V., Independent Component Analysis Applied to Pulse Oximetry in the Estimation of the Arterial Oxygen Saturation (SpO2) - a Comparative Study, 31th Annual International Conference of the IEEE: Engineering in Medicine and Biology Society (EMBS 2009), pp. 4039-4044, IEEE, 2009 [full] [bibtex] [pdf]

  • Jørgensen, K. W., Mølgaard, L. L., Hansen, L. K., Unsupervised Speaker Change Detection for Broadcast News Segmentation, Eusipco, 2006 [full] [bibtex] [pdf]

  • Karadogan, S. G., Larsen, J., Combining Semantic and Acoustic Features for Valence and Arousal Recognition in Speech, Cogniive Information Processing CIP2012, IEEE Press, 2012 [full] [bibtex] [pdf]

  • Karadogan, S. G., Marchegiani, L., Larsen, J., Hansen, L. K., Top-Down Attention with Features Missing at Random, International Workshop on Machine Learning for Signal Processing, IEEE Press, 2011 [full] [bibtex]

  • Karadogan, S. G., Marchegiani, L., Hansen, L. K., Larsen, J., How Efficient Is Estimation with Missing Data?, International Conference on Acoustics, Speech and Signal Processing, pp. 2260-2263, IEEE Press, 2011 [full] [bibtex] [pdf]

  • Karadogan, S. G., Larsen, J., Pedersen, M. S., Boldt, J. B., Robust isolated speech recognition using binary masks, EUSIPCO-2010, 2010 [full] [bibtex] [pdf]

  • Karadogan, S. G., Larsen, J., Pedersen, M. S., Boldt, J. B., Robust Isolated Speech Recognition Using Binary Masks, European Signal Porcessing Conference, 2010 [full] [bibtex]

  • Karlsen, B., Sørensen, H. B., Larsen, J., Jakobsen, K. B., GPR Detection of Buried Symmetrically Shaped Mine-like Objects using Selective Independent Component Analysis, Proceedings of the 2003 Detection and Remediation Technologies for Mines and Mine-Like Targets, AeroSense 2003, vol. 5089, pp. 375-386, SPIE, 2003 [full] [bibtex] [pdf]

  • Karlsen, B., Sørensen, H. B., Larsen, J., Jackobsen, K. B., Independent Component Analysis for Clutter Reduction in Ground Penetrating Radar Data, Proceedings of the SPIE, AeroSense 2002, vol. 4742, pp. 378-389, SPIE, 2002 [full] [bibtex] [pdf]

  • Kereliuk, C., Sturm, B. L., Larsen, J., Deep Learning, Audio Adversaries, and Music Content Analysis, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, IEEE, 2015 [full] [bibtex] [pdf]

  • Kidmose, P., Independent Component Analysis Using the Spectral Measure for Alpha-Stable Distributions, Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, pp. 1-5, 2001 [full] [bibtex]

  • Kidmose, P., Adaptive Filtering for Non-Gaussian Processes, Proceedings of International Conference on Acoustics, Speech and Signal Processing, ICASSP2000, pp. 424-427, 2000 [full] [bibtex]

  • Kolenda, T., Hansen, L. K., Larsen, J., Winther, O., Independent Component Analysis for Understanding Multimedia Content, Proceedings of IEEE Workshop on Neural Networks for Signal Processing XII, pp. 757–766, IEEE, 2002 [full] [bibtex] [pdf]

  • Kolenda, T., Hansen, L. K., Larsen, J., Winther, O., Independent component analysis for understanding multimedia content, Proceedings of IEEE Workshop on Neural Networks for Signal Processing XII, pp. 757-766, IEEE Press, 2002 [full] [bibtex] [pdf]

  • Kolenda, T., Hansen, L. K., Larsen, J., Signal Detection using ICA: Application to Chat Room Topic Spotting, Third International Conference on Independent Component Analysis and Blind Source Separation, pp. 540-545, 2001 [full] [bibtex] [pdf]

  • Kostesha, N. V., Alstrøm, T. S., Larsen, J., Boisen, A., Jakobsen, M. H., Multi-Colorimetric Sensor Array for Detection of Illegal Materials, IEEE Sensors, 2012 [full] [bibtex]

  • Kostesha, N. V., Schmidt, M. S., Bosco, F., Olsen, J., Johnsen, C., Nielsen, K., Jeppesen, J., Alstrøm, T. S., Larsen, J., Thundat, T., Jacobsen, M., Boisen, A., The Xsense Project: The Application of Intelligent Sensor Array for High Sensitivity Handheld Explosives Detectors, IEEE Sensors Applications Symposium, 2011 [full] [bibtex]

  • Kostesha, N. V., Alstrøm, T. S., Johnsen, C., Nielsen, K. A., Jeppesen, J. O., Larsen, J., Jakobsen, M. H., Boisen, A., Development of the colorimetric sensor array for detection of explosives and volatile organic compounds in air, Advanced Environmental, Chemical, and Biological Sensing Technologies VII, vol. 7673(1), pp. 76730I, 2010 [full] [bibtex] [pdf]

  • Kosthesha, N. V., Alstrøm, T. S., Johnsen, C., Nielsen, K. A., Jeppesen, J. O., Larsen, J., Multi-colorimetric sensor array for detection of explosives in gas and liquid phase, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XII, vol. 8018, Society of Photo-Optical Instrumentation Engineers, 2011 [full] [bibtex]

  • Larsen, J. E., Sapiezynski, P., Stopczynski, A., Mørup, M., Theodorsen, R., Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior, PDM '13 Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia, pp. 11-18, 2013 [full] [bibtex]

  • Larsen, J. E., Stopczynski, A., Larsen, J., Vesterskov, C., Krogsgaard, P., Sondrup, T., Augmenting the Sound Experience at Music Festivals using Mobile Phones, International Conference on Intelligent User Interfaces (IUI2011), ACM, 2011 [full] [bibtex]

  • Larsen, J. E., Petersen, M. K., Handler, R., Zandi, N., Observing the Context of Use of a Media Player on Mobile Phones using Embedded and Virtual Sensors, 2010 [full] [bibtex] [pdf]

  • Larsen, J. E., Luniewski, M., Using mobile phone contextual information to facilitate managing image collections, PIM 2009 : Personal information intersections: What happens when PIM spaces overlap?, pp. 73-75, 2009 [full] [bibtex] [pdf]

  • Larsen, J. E., Jensen, K., Mobile Context Toolbox - an extensible context framework for S60 mobile phones, Smart Sensing and Context, vol. 5741, pp. 193-206, Springer Berlin / Heidelberg, 2009 [full] [bibtex]

  • Larsen, J. E., Kristensen, K., Edwards, R., Coulton, P., Mobile Users : Comparing Trends in Denmark and Britain, Future Mobile Experiences, next generation mobile interaction and contextualization workshop at NordiCHI 2008, 2008 [full] [bibtex] [pdf]

  • Larsen, J., Hansen, L. K., Kolenda, T., Nielsen, F. Å., Independent Component Analysis in Multimedia Modeling, Fourth International Symposium on Independent Component Analysis and Blind Source Separation, pp. 687-696, 2003 [full] [bibtex] [pdf]

  • Laurberg, H., Schmidt, M. N., Christensen, M. G., Jensen, S. H., Stuctured non-negative matrix factorization with sparsity patterns, Signals, Systems and Computers, Asilomar Conference on, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2008 [full] [bibtex] [pdf]

  • Laurberg, H., Schmidt, M. N., Christensen, M. G., Jensen, S. H., Structured non-negative matrix factorization with sparsity patterns, Asilomar Conference on Signals, Systems and Computers, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2008 [full] [bibtex] [pdf]

  • Laurberg, H., Hansen, L. K., On affine non-negative matrix factorization, ICASSP 2007, Hawaii, USA, IEEE, 2007 [full] [bibtex] [pdf]

  • Lawrence, S., Coetzee, F., Flake, G., Pennock, D., Krovetz, B., Nielsen, F. Å., Kruger, A., Giles, C. L., Persistence of information on the web: Analyzing citations contained in research articles, CIKM 2000, pp. 235-242, ACM, 2000 [full] [bibtex]

  • Lehn-Schiøler, T., Arenas-García, J., Petersen, K. B., Hansen, L. K., A Genre Classification Plug-in for Data Collection, ISMIR, 2006 [full] [bibtex] [pdf]

  • Lehn-Schiøler, T., Hansen, L. K., Larsen, J., Mapping from Speech to Images Using Continuous State Space Models, Lecture Notes in Computer Science, vol. 3361, pp. 136 - 145, Springer, 2005 [full] [bibtex] [pdf]

  • Lehn-Schiøler, T., Multimedia Mapping using Continuous State Space Models, IEEE 6'th Workshop on Multimedia Signal Processing Proceedings, pp. 51--54, 2004 [full] [bibtex] [pdf]

  • Lehn-Schiøler, T., Erdogmus, D., Principe, J. C., Parzen Particle Filters, ICASSP, vol. 5, pp. 781-784, 2004 [full] [bibtex] [pdf]

  • Li, I., Medynski, Y., Froehlich, J., Larsen, J. E., Personal Informatics in Practice: Improving Quality of Life Through Data, CHI 2012, ACM, 2012 [full] [bibtex]

  • Lukic, A. S., Wernick, M. N., Hansen, L. K., Strother, S. C., A Spatially Robust ICA Algorithm for Multiple fMRI Data Sets, IEEE International Symposium on Biomedical Imaging, 2002 [full] [bibtex] [pdf]

  • Lukic, A. S., Wernick, M. N., Hansen, L. K., Strother, S. C., An ica algorithm for analyzing multiple data sets, IEEE International Conference on Image Processing., pp. 821-824, IEEE, 2002 [full] [bibtex] [pdf]

  • Madsen, J., Jensen, B. S., Larsen, J., Learning Combinations of Multiple Feature Representations for Music Emotion Prediction, Affect and Sentiment in Multimedia (ASM) - an ACM MM'15 workshop, 2015 [full] [bibtex] [pdf]

  • Madsen, J., Jensen, B. S., Larsen, J., Modeling Temporal Structure In Music for Emotion Prediction using Pairwise Comparisons, 15th International Society of Music Information Retrieval Conference, 2014 [full] [bibtex] [pdf]

  • Madsen, J., Jensen, B. S., Larsen, J., Nielsen, J. B., Towards Predicting Expressed Emotion in Music from Pairwise Comparisons, 9th Sound and Music Computing Conference (SMC) Illusions, 2012 [full] [bibtex] [pdf]

  • Madsen, J., Nielsen, J. B., Jensen, B. S., Larsen, J., Modeling Expressed Emotions in Music using Pairwise Comparisons, 9th International Symposium on Computer Music Modeling and Retrieval (CMMR) Music and Emotions, 2012 [full] [bibtex] [pdf]

  • Madsen, R. E., Kauchak, D., Elkan, C., Modeling Word Burstiness Using the Dirichlet Distribution, International Conference on Machine Learning, pp. 489--498, 2005 [full] [bibtex] [pdf]

  • Madsen, R. E., Larsen, J., Hansen, L. K., Part-of-Speech Enhanced Context Recognition, Proceedings of IEEE Workshop on Machine Learning for Signal Processing XIV, pp. 635-644, IEEE Press, 2004 [full] [bibtex] [pdf]

  • Madsen, R. E., Sigurdsson, S., Hansen, L. K., Enhanced Context Recognition by Sensitivity Pruned Vocabularies, Proceedings of 17th International Conference on Pattern Recognition (ICPR 2004), vol. 2, pp. 483-486, 2004 [full] [bibtex] [pdf]

  • Madsen, R. E., Sigurdsson, S., Hansen, L. K., Larsen, J., Vocabulary Pruning for Improved Context Recognition, Proceedings of the International Joint Conference on Neural Networks, pp. 80-85, IEEE Press, 2004 [full] [bibtex] [pdf]

  • Malzahn, D., Opper, M., A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages, Advances in Neural Information Processing Systems 15, MIT Press, 2003 [full] [bibtex] [ps]

  • Marchegiani, L., Karadogan, S. G., Andersen, T., Larsen, J., Hansen, L. K., The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry’s Experiment after Sixty Years, The tenth International Conference on Machine Learning and Applications (ICMLA'11), 2011 [full] [bibtex]

  • Matsushita, H., Miyata, T., Christiansen, L. E., Lehn-Schiøler, T., Mosekilde, E., Nonlinear dynamics approach of modeling the bifurcation for aircraft wing flutter in transonic speed, Proceedings of the 41st SICE Annual Conference, vol. 2, pp. 695-700, Soc. Instrument & Control Eng. (SICE), 2002 [full] [bibtex]

  • Meng, A., Shawe-Taylor, J., An Investigation of Feature Models for Music Genre Classification using the Support Vector Classifier, International Conference on Music Information Retrieval, pp. 604-609, 2005 [full] [bibtex] [pdf]

  • Meng, A., Ahrendt, P., Larsen, J., Improving Music Genre Classification by Short-Time Feature Integration, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. V, pp. 497-500, 2005 [full] [bibtex] [pdf]

  • Morgenstjerne, A., Karlsen, B., Larsen, J., Sørensen, H. B., Jakobsen, K. B., A comparative and combined study of EMIS and GPR detectors by the use of Independent Component Analysis, Proceedings of the 2005 Detection and Remediation Technologies for Mines and Mine-Like Targets, AeroSense 2005, SPIE, 2005 [full] [bibtex] [pdf]

  • Mølgaard, L. L., Buus, O., Larsen, J., Babamoradi, H., Thygesen, I. L., Laustsen, M., Munk, J. K., Dossi, E., O'Keeffe, C., Lässig, L., Tatlow, S., Sandström, L., Jakobsen, M. H., Improved detection of chemical substances from colorimetric sensor data using probabilistic machine learning, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII, vol. 10183(6), SPIE, 2017 [full] [bibtex] [pdf]

  • Mølgaard, L. L., Larsen, J., Goutte, C., Temporal analysis of text data using latent variable models, 2009 IEEE International Workshop on Machine Learning for Signal Processing, 2009 [full] [bibtex] [pdf]

  • Mølgaard, L. L., Jørgensen, K. W., Hansen, L. K., Castsearch - Context Based Spoken Document Retrieval, ICASSP, 2007 [full] [bibtex] [pdf]

  • Mørup, M., Schmidt, M. N., Transformation Invariant Sparse Coding, Machine Learning for Signal Processing (MLSP), IEEE Workshop on, 2011 [full] [bibtex]

  • Mørup, M., Schmidt, M. N., Hansen, L. K., Infinite multiple membership relational modeling for complex networks, Machine Learning for Signal Processing, IEEE International Workshop on (MLSP), Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2011 [full] [bibtex] [pdf]

  • Mørup, M., Schmidt, M. N., Transformation invariant sparse coding, Machine Learning for Signal Processing, IEEE International Workshop on (MLSP), Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2011 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Madsen, K. H., Frequency Constrained ShiftCP Modeling of Neuroimaging Data, invited paper, Asilomar-SSC, 2011 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Madsen, K. H., Modeling Latency and Shape Changes in Trial Based Neuroimaging Data, invited paper, Asilomar-SSC, 2011 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Archetypal Analysis for Machine Learning, Machine Learning for Signal Processing (MLSP), IEEE Workshop on, 2010 [full] [bibtex]

  • Mørup, M., Madsen, K. H., Dogonowski, A. M., Siebner, H., Hansen, L. K., Infinite Relational Modeling of Functional Connectivity in Resting State fMRI, Neural Information Processing Systems, 2010 [full] [bibtex] [pdf]

  • Mørup, M., Schmidt, M. N., Hansen, L. K., Infinite Multiple Membership Relational Modeling for Complex Networks, Presented first time at NIPS Workshop on Networks Across Disciplines in Theory and Application, published IEEE MLSP 2011, 2010 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Sparse Coding and Automatic Relevance Determination for Multi-way models, Spars'09, 2009 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Tuning Pruning in Sparse Non-negative Matrix Factorization., European Signal Processing Conference 2009 (EUSIPCO'09), 2009 [full] [bibtex]

  • Mørup, M., Madsen, K. H., Hansen, L. K., Latent Causal Modelling of Neuroimaging Data, NIPS Workshop on Connectivity Inference in Neuroimaing, 2009 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Learning Latent Structure in Complex Networks, Workshop on Analyzing Networks and Learning with Graphs NIPS 2009, 2009 [full] [bibtex] [pdf]

  • Mørup, M., Madsen, K. H., Hansen, L. K., Approximate L0 constrained Non-negative Matrix and Tensor Factorization, IEEE International Symposium on Circuits and Systems, ISCAS 2008, pp. 1328 - 1331, 2008 [full] [bibtex] [pdf]

  • Mørup, M., Madsen, K. H., Hansen, L. K., Shifted Independent Component Analysis, ICA2007, pp. 89-96, 2007 [full] [bibtex]

  • Mørup, M., Madsen, K. H., Hansen, L. K., Shifted Non-negative Matrix Factorization, Machine Learning for Signal Processing (MLSP), IEEE Workshop on, 2007 [full] [bibtex]

  • Mørup, M., Clemmensen, L. H., Multiplicative updates for the LASSO, Machine Learning for Signal Processing (MLSP), IEEE Workshop on, 2007 [full] [bibtex]

  • Nielsen, F. Å., Literature, Geolocation and Wikidata, AAAI Press, 2016 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Kempton, M. J., Williams, S. C. R., Online open neuroimaging mass meta-analysis with a wiki, The Semantic Web: ESWC 2012 Satellite Events, vol. 7540, pp. 259-271, Springer-Verlag, 2015 [full] [bibtex] [pdf]

  • Nielsen, J. B., Nielsen, J., Jensen, B. S., Larsen, J., Hearing Aid Personalization, NIPS 2013 Workshop on Personalization, 2013 [full] [bibtex] [pdf]

  • Nielsen, J. B., Jensen, B. S., Hansen, T. J., Larsen, J., Personalized Audio Systems - a Bayesian Approach, 135th AES Convention, 2013 [full] [bibtex]

  • Nielsen, J. B., Jensen, B. S., Larsen, J., Pseudo Inputs for Pairwise Learning with Gaussian Processes, IEEE International Workshop on Machine Learning for Signal Proessing, 2012 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Kempton, M. J., Williams, S. C. R., Online open neuroimaging mass meta-analysis, SePublica 2012, 2012 [full] [bibtex] [pdf]

  • Nielsen, J. B., Jensen, B. S., Larsen, J., On Sparse Multi-Task Gaussian Process Priors for Music Preference Learning, NIPS 2011 Workshop on Choice Models and Preference Learning, 2011 [full] [bibtex]

  • Nielsen, F. Å., A new ANEW: Evaluation of a word list for sentiment analysis in microblogs, Making Sense of Microposts Workshop (MSM 2011), Informatics and Mathematical Modelling, Technical University of Denmark, 2011 [full] [bibtex] [pdf]

  • Nielsen, F. Å., A fielded wiki for personality genetics, WikiSym, Informatics and Mathematical Modelling, Technical University of Denmark, 2010 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Brede Wiki: Neuroscience data structured in a wiki, Proceedings of the Forth Semantic Wiki Workshop (SemWiki 2009), vol. 464, CEUR-WS.org, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Clustering of scientific citations in Wikipedia, Wikimania 2008, Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, A. B., Sigurdsson, S., Hansen, L. K., Arenas-García, J., On the relevance of spectral features for instrument classification, IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii, 2007 [full] [bibtex] [pdf]

  • Nielsen, A. B., Hansen, L. K., Kjems, U., Pitch Based Sound Classification, IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Mass meta-analysis in Talairach space, Neural Information Processing Systems, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Interactive information visualization in neuroimaging, Proceedings of the 1997 workshop on New paradigms in information visualization and manipulation, ACM, 1997 [full] [bibtex] [pdf]

  • Olsson, R. K., Hansen, L. K., Blind separation of more sources than sensors in convolutive mixtures, International Conference on Acoustics, Speech and Signal Processing, vol. 5, pp. 657-660, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf] [ps]

  • Olsson, R. K., Hansen, L. K., A harmonic excitation state-space approach to blind separation of speech, Advances in Neural Information Processing Systems, vol. 17, pp. 993-1000, MIT Press, 2005 [full] [bibtex] [pdf]

  • Olsson, R. K., Hansen, L. K., Probabilistic blind deconvolution of non-stationary sources, 12th European Signal Processing Conference, pp. 1697-1700, 2004 [full] [bibtex] [pdf]

  • Olsson, R. K., Hansen, L. K., Estimating the number of sources in a noisy convolutive mixture using BIC, 5th International Conference on Independent Component Analysis and Blind Signal Separation, pp. 618-625, Springer Berlin, 2004 [full] [bibtex] [pdf]

  • Opper, M., Winther, O., Expectation Consistent Free Energies for Approximate Inference, Advances in Neural Information Processing Systems 17 (NIPS'2004), MIT Press, 2005 [full] [bibtex] [pdf]

  • Opper, M., Winther, O., Variational Linear Response, Advances in Neural Information Processing Systems 16 (NIPS'2003), 2004 [full] [bibtex] [pdf]

  • Pearlmutter, B. A., Olsson, R. K., Linear program differentiation for single-channel speech separation, IEEE International Workshop on Machine Learning for Signal Processing, 2006 [full] [bibtex]

  • Pedersen, B. P., Larsen, J., Gaussian Process Regression for Vessel Performance Monitoring, 12th International Conference on Computer and IT Applications in the Maritime Industries (COMPIT 13), 2013 [full] [bibtex] [pdf]

  • Pedersen, B. P., Larsen, J., Prediction of Full-Scale Propulsion Power using Artificial Neural Networks, Proceedings of the 8th International Conference on Computer and IT Applications in the Maritime Industries (COMPIT'09), pp. 537--550, 2009 [full] [bibtex] [pdf]

  • Pedersen, B. P., Larsen, J., Modeling of Ship Propulsion Performance, World Maritime Technology Conference WMTC2009, Jan. 21-24, The Institute of Marine Engineers, 2009 [full] [bibtex] [pdf]

  • Pedersen, M. S., Lehn-Schiøler, T., Larsen, J., BLUES from Music: BLind Underdetermined Extraction of Sources from Music, ICA2006, vol. 3889, pp. 392-399, Springer Berlin / Heidelberg, 2006 [full] [bibtex] [pdf]

  • Pedersen, M. S., Wang, D., Larsen, J., Kjems, U., Separating Underdetermined Convolutive Speech Mixtures, ICA 2006, vol. 3889, pp. 674-681, Springer Berlin / Heidelberg, 2006 [full] [bibtex] [pdf]

  • Pedersen, M. S., Wang, D., Larsen, J., Kjems, U., Overcomplete Blind Source Separation by Combining ICA and Binary Time-Frequency Masking, IEEE International workshop on Machine Learning for Signal Processing, pp. 15-20, 2005 [full] [bibtex] [pdf]

  • Pedersen, M. S., Larsen, J., Kjems, U., On the difference between updating the mixing matrix and updating the separation matrix, International Conference on Acoustics, Speech and Signal Processing (ICASSP'05), vol. V, pp. 297-300, 2005 [full] [bibtex] [pdf] [ps]

  • Pedersen, M. S., Nielsen, C. M., Gradient Flow Convolutive Blind Source Separation, Proceedings of the 2004 IEEE Signal Processing Society Workshop (MLSP 2004), pp. 335-344, 2004 [full] [bibtex] [pdf] [ps]

  • Pedersen, M. S., Hansen, L. K., Kjems, U., Rasmussen, K. B., Semi-blind Source Separation Using Head-Related Transfer Functions, ICASSP 2004, vol. V, pp. 713-716, 2004 [full] [bibtex] [pdf] [ps]

  • Pedersen, T. F., Hansen, L. K., Bayesian multichannel tracking of periodic signals: A new way to detemine the running speed of mechanical systems, Seventh International Symposium on Signal Processing and its Applications ISSPA 2003 1-4 July 2003, Paris, FRANCE, 2003 [full] [bibtex] [pdf]

  • Pennock, D. M., Lawrence, S., Giles, C. L., Extracting collective probabilistic forecasts from web games, Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 174-183, ACM, 2001 [full] [bibtex]

  • Petersen, M. K., Stahlhut, C., Stopczynski, A., Larsen, J. E., Hansen, L. K., Smartphones get emotional: mind reading images and reconstructing the neural sources, Affective Computing and Intelligent Interaction, 2011 [full] [bibtex] [pdf]

  • Petersen, M. K., Hansen, L. K., Cognitive nodes among lines of lyrics, ACM Recommender Systems, Workshop on music recommendation and discovery, 2010 [full] [bibtex] [pdf]

  • Petersen, M. K., Mørup, M., Hansen, L. K., Latent semantics as cognitive components, CIP 2nd International Workshop on Cognitive Information Processing, 2010 [full] [bibtex] [pdf]

  • Petersen, M. K., Mørup, M., Hansen, L. K., Latent Semantics As Cognitive Components, 2nd International Workshop On Cognitive Information Processing, 2010 [full] [bibtex]

  • Petersen, M. K., Mørup, M., Hansen, L. K., Sparse but emotional decomposition of lyrics, 3rd International Workshop on Learning Semantics of Audio Signals (LSAS), pp. 31-43, 2009 [full] [bibtex]

  • Petersen, K. B., Winther, O., The EM Algorithm in Independent Component Analysis, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 2005 [full] [bibtex] [pdf]

  • Petersen, K., Hansen, L. K., Kolenda, T., Rostrup, E., On the Independent Components of Functional Neuroimages, Third International Conference on Independent Component Analysis and Blind Source Separation, pp. 615-620, 2000 [full] [bibtex]

  • Pontoppidan, N. H., Larsen, J., Sigurdsson, S., Non-stationary Condition Monitoring of large diesel engines with the AEWATT toolbox, 59th meeting of the Society for Machinery Failure Prevention Technology, Society for Machinery Failure Prevention Technology, 2005 [full] [bibtex] [pdf]

  • Pontoppidan, N. H., Larsen, J., Non-stationary condition monitoring through event alignment, IEEE Workshop on Machine Learning for Signal Processing, pp. 499-508, IEEE Press, 2004 [full] [bibtex] [pdf]

  • Pontoppidan, N. H., Douglas, R., Event alignment, warping between running speeds, COMADEM 2004, pp. 621-628, COMADEM International, 2004 [full] [bibtex] [pdf]

  • Pontoppidan, N. H., Larsen, J., Unsupervised Condition Change Detection In Large Diesel Engines, 2003 IEEE Workshop on Neural Networks for Signal Processing, pp. 565-574, IEEE Press, 2003 [full] [bibtex] [pdf]

  • Pontoppidan, N. H., Larsen, J., Fog, T., Independent component analysis for detection of condition changes in large diesels, COMADEM 2003, no. 16, pp. 493-502, Växjö University Press, 2003 [full] [bibtex]

  • Pontoppidan, N. H., Dyrholm, M., Fast Monaural Separation of Speech, AES 23rd International Conference, Signal Processing in Audio Recording and Reproduction., Audio Engineering Society, Inc., 2003 [full] [bibtex] [pdf]

  • Potluru, V., Plis, S., Mørup, M., Calhoun, V., Lane, T., Efficient Multiplicative updates for Support Vector Machines, Siam SDM 09, 2009 [full] [bibtex]

  • Quiñonero-Candela, J., Girard, A., Larsen, J., Rasmussen, C. E., Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting, International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 701-704, IEEE, 2003 [full] [bibtex] [pdf] [ps]

  • Quiñonero-Candela, J., Hansen, L. K., Time Series Prediction Based on the Relevance Vector Machine with Adaptive Kernels, International Conference on Acoustics, Speech, and Signal Processing, pp. 985-988, 2002 [full] [bibtex] [pdf] [ps]

  • Quiñonero-Candela, J., Winther, O., Incremental Gaussian Processes, Advances in Neural Processing Systems, 2002 [full] [bibtex] [ps]

  • Rasmussen, P. M., Mørup, M., Hansen, L. K., Arnfred, S. M., Model Order Estimation for Independent Component Analysis of Epoched EEG Signals, Biosignals 2008 International Conference on Bio-inspired Systems and Signal Processing., 2008 [full] [bibtex] [pdf]

  • Rasmussen, C. E., The Infinite Gaussian Mixture Model, Advances in information processing systems 12, pp. 554-560, MIT Press, 2000 [full] [bibtex]

  • Schmidt, M. N., Schwartz, S., Larsen, J., Interactive 3D audio: Enhancing awareness of details in immersive soundscapes?, Proc. of AES 133th Convention, Audio Engineering Society, 2012 [full] [bibtex]

  • Schmidt, M. N., Larsen, J., Schwartz, S., Interactive 3D audio: Enhancing awareness of details in immersive soundscapes?, 133rd convention of the AES, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2012 [full] [bibtex]

  • Schmidt, M. S., Kostesha, N., Bosco, F., Olsen, J. K., Johnsen, C., Nielsen, K. A., Jeppesen, J. O., Alstrøm, T. S., Larsen, J., Thundat, T., Jacobsen, M. H., Boisen, A., Xsense - a miniaturised multi-sensor platform for explosives detection, Micro- and Nanotechnology Sensors, Systems, and Applications III, vol. 8031, 2011 [full] [bibtex] [pdf]

  • Schmidt, M. N., Mørup, M., Infinite non-negative matrix factorization, European Signal Processing Conference (EUSIPCO), Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2010 [full] [bibtex] [pdf]

  • Schmidt, M. S., Kostesha, N., Bosco, F., Olsen, J. K., Johnsen, C., Nielsen, K. A., Jeppesen, J. O., Alstrøm, T. S., Larsen, J., Jacobsen, M. H., Thundat, T., Boisen, A., Xsense: using nanotechnology to combine detection methods for high sensitivity handheld explosives detectors, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, vol. 7664(1), pp. 76641H, SPIE, 2010 [full] [bibtex]

  • Schmidt, M. N., Winther, O., Hansen, L. K., Bayesian non-negative matrix factorization, International Conference on Independent Component Analysis and Signal Separation, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2009 [full] [bibtex] [pdf]

  • Schmidt, M. N., Larsen, J., Reduction of non-stationary noise using a non-negative latent variable decomposition, IEEE Internatioanal Workshop on Machine Learning and Signal Processing XVIII, IEEE, 2008 [full] [bibtex] [pdf]

  • Schmidt, M. N., Larsen, J., Reduction of Non-stationary Noise using a Non-negative Latent Variable Decomposition, IEEE Machine Learning for Signal Processing Workshop, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2008 [full] [bibtex] [pdf]

  • Schmidt, M. N., Larsen, J., Hsiao, F., Wind Noise Reduction using Non-negative Sparse Coding, IEEE International Workshop on Machine Learning for Signal Processing, pp. 431-436, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf] [zip]

  • Schmidt, M. N., Olsson, R. K., Linear Regression on Sparse Features for Single-Channel Speech Separation, Applications of Signal Processing to Audio and Acoustics, IEEE Workshop on (WASPAA), Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Schmidt, M. N., Olsson, R. K., Single-Channel Speech Separation using Sparse Non-Negative Matrix Factorization, Interspeech, 2006 [full] [bibtex] [pdf]

  • Schmidt, M. N., Mørup, M., Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation, International Conference on Independent Component Analysis and Signal Separation, 2006 [full] [bibtex] [pdf]

  • Sharifzadeh, S., Skytte, J. L., Nielsen, O. H. A., Ersbøll, B. K., Clemmensen, L. H., REGRESSION AND SPARSE REGRESSION METHODS FOR VISCOSITY ESTIMATION OF ACID MILK FROM IT’S SLS FEATURES, 19th International Conference on Systems, Signals and Image Processing, Vienna, Austria, 2012 [full] [bibtex] [pdf]

  • Sigurdsson, S., Petersen, K. B., Lehn-Schiøler, T., Mel Frequency Cepstral Coefficients: An Evaluation of Robustness of MP3 Encoded Music, Proceedings of the Seventh International Conference on Music Information Retrieval (ISMIR), 2006 [full] [bibtex] [pdf]

  • Sigurdsson, S., Pontoppidan, N. H., Larsen, J., Supervised and unsupervised condition monitoring of non-stationary acoustic emission signals, Proceedings of the 18th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM), pp. 535-541, Cranfield University Press, 2005 [full] [bibtex] [pdf]

  • Sigurdsson, S., Larsen, J., Hansen, L. K., Philipsen, P. A., Wulf, H. C., Outlier estimation and detection: Application to Skin Lesion Classification, International conference on acoustics, speech and signal processing, vol. 1, pp. 1049-1052, 2002 [full] [bibtex] [pdf]

  • Sigurdsson, S., Larsen, J., Hansen, L. K., On Comparison of Adaptive Regularization Methods, Proceedings of the IEEE Workshop on Neural Networks for Signal Processing, vol. 10, pp. 221-230, 2000 [full] [bibtex] [pdf]

  • Stahlhut, C., Attias, H. T., Stopczynski, A., Petersen, M. K., Larsen, J. E., Hansen, L. K., An Evaluation of EEG Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, CA, IEEE, 2012 [full] [bibtex]

  • Stahlhut, C., Attias, H. T., Wipf, D., Hansen, L. K., Nagarajan, S. S., Sparse Spatio-temporal Inference of Electromagnetic Brain Sources, Lecture Notes in Computer Science: International Workshop on Machine Learning in Medical Imaging (MLMI), vol. 6357, pp. 157-164, Springer Berlin / Heidelberg, 2010 [full] [bibtex]

  • Stahlhut, C., Mørup, M., Winther, O., Hansen, L. K., SOFOMORE: Combined EEG source and forward model reconstruction, 6th IEEE International Symposium on Biomedical Imaging (ISBI 2009), 2009 [full] [bibtex] [pdf]

  • Stahlhut, C., Mørup, M., Winther, O., Hansen, L. K., Hierarchical Bayesian Model for simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE), IEEE Workshop on Machine Learning for Signal Processing (MLSP), 2009 [full] [bibtex] [pdf]

  • Stahlhut, C., Mørup, M., Winther, O., Hansen, L. K., Hierarchical Bayesian Model for Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE), Machine Learning for Signal Processing (MLSP), IEEE Workshop on, pp. 1-6, 2009 [full] [bibtex] [pdf]

  • Stopczynski, A., Larsen, J. E., Stahlhut, C., Petersen, M. K., Hansen, L. K., A smartphone interface for a wireless EEG headset with real-time 3D reconstruction, Affective Computing and Intelligent Interaction, 2011 [full] [bibtex] [pdf]

  • Stopczynski, A., Larsen, J. E., Skomial, L., Mobile Context Toolbox - An Extensible Context Framework for the Maemo Platform, 8th Conference of Finnish-Russian University Cooperation in Telecommunications (FRUCT) Program, 2010 [full] [bibtex] [pdf]

  • Stopczynski, A., Larsen, J. E., Enabling Festival-wide Social Network Interaction using 2D Barcodes, Mobile Phones and Situated Displays, Mobile Human Computer Interaction (MobileHCI), 2010 [full] [bibtex] [pdf]

  • Sturm, B. L., Kereliuk, C., Larsen, J., ?El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity, Fifth Biennial International Conference on Mathematics and Computation in Music (MCM2015), Springer, 2015 [full] [bibtex] [pdf]

  • Szymkowiak, A., Philipsen, P. A., Larsen, J., Hansen, L. K., Thieden, E., Wulf, H. C., Imputating Missing Values in Diary Records of Sun-exposure Study, Conference Proceedings of IEEE Workshop on Neural Networks for Signal Processing XI, pp. 489-498, IEEE Press, 2001 [full] [bibtex]

  • Szymkowiak, A., Larsen, J., Hansen, L. K., Hierarchical Clustering for Datamining, Proceedings of KES-2001 Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied, pp. 261--265, 2001 [full] [bibtex] [pdf]

  • Tcherniak, D., Mølgaard, L. L., Vibration-based SHM System: Application to Wind Turbine Blades, 11th International Conference on Damage Assessment of Structures (DAMAS 2015), vol. 628(1), IOP Publishing, 2015 [full] [bibtex] [pdf]

  • Tomioka, R., Mørup, M., A Bayesian Analysis of the Radioactive Releases of Fukushima, AISTATS, 2012 [full] [bibtex]

  • Troelsgård, R., Jensen, B. S., Hansen, L. K., A Topic Model Approach to Multi-Modal Similarity, NIPS 2013 Workshop on Topic Models: Computation, Application, and Evaluation, 2013 [full] [bibtex] [pdf]

  • Unnthorsson, R., Pontoppidan, N. H., Jonsson, M. T., Extracting Information from Conventional AE Features for Fatigue Onset Damage Detection in Carbon Fiber Composites, 59th meeting of the Society for Machinery Failure Prevention Technology, Society for Machinery Failure Prevention Technology, 2005 [full] [bibtex] [pdf]

  • Vester-Christensen, M., Leimberg, D., Ersbøll, B. K., Hansen, L. K., Towards emotion modeling based on gaze dynamics in generic interfaces, HCI International, 11th International Conference on Human-Computer Interaction, Las Vegas, USA, 2005 [full] [bibtex]

  • Walder, C., Dirichlet Mixtures of Graph Diffusions for Semi Supervised Learning, IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING, 2010 [full] [bibtex] [pdf]

  • Wantiya, P., Burger, R., Alstrøm, T. S., Donolato, M., Miniotis, M. F., Hansen, M. F., Wingren, A. G., Boisen, A., Imaging based agglutination measurement of magnetic micro-particles on a Lab-on-a-Disc platform, Proceedings of the 18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, pp. 1419-1421, 2014 [full] [bibtex]

  • Wilkowski, B., Szewczyk, M. M., Rasmussen, P. M., Hansen, L. K., Nielsen, F. A., BredeQuery: Coordinate-Based Meta-analytic Search of Neuroscientific Literature from the SPM Environment, Biomedical Engineering Systems and Technologies, vol. 52, pp. 314-324, Springer-Verlag Berlin Heidelberg, 2010 [full] [bibtex]

  • Wilkowski, B., Szewczyk, M. M., Rasmussen, P. M., Hansen, L. K., Nielsen, F. Å., COORDINATE-BASED META-ANALYTIC SEARCH FOR THE SPM NEUROIMAGING PIPELINE - The BredeQuery plugin for SPM5, HEALTHINF 2009, pp. 11-17, INSTICC Press, 2009 [full] [bibtex] [pdf]

  • Wilkowski, B., Pereira, O., Dias, P., Castro, M., Janicki, M., MIAWARE SOFTWARE - 3D Medical Image Analysis with Automated Reporting Engine and Ontology-based Search, HEALTHINF 2008, vol. 2, pp. 201-206, INSTICC Press, 2008 [full] [bibtex] [pdf]

  • Wind, D. K., Mørup, M., Link prediction in weighted networks, Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on, 2012 [full] [bibtex]

  • Zandi, N., Handler, R., Larsen, J. E., Petersen, M. K., People, places and playlists: modeling soundscapes in a mobile context, The Second International Workshop on Mobile Multimedia Processing, 2010 [full] [bibtex] [pdf]

Without referee

  • Arenas-García, J., Parrado-Hernandez, E., Meng, A., Larsen, J., Kai-Hansen, L., Discovering Music Structure via Similarity Fusion, Workshop on Music, Brain & Cognition: Learning the Structure of Music and its Effects on the Brain, 2007 [full] [bibtex] [pdf]

  • Chen, A. C. N., Nielsen, F. Å., Hansen, L. K., Neuroimaging of human pain and virtual reality modelling, Advances in Clinical Neurophysiology, vol. 54, Elsevier Science, 2002 [full] [bibtex]

  • Hansen, P. K., Hansen, P. C., Hansen, S. D., Sørensen, J. A., Experimental Comparison of Signal Subspace Based Noise Reduction Methods, Proceedings of IEEE ICASSP-99, vol. 1, pp. 101-104, 1999 [full] [bibtex]

  • Hansen, P. K., Hansen, P. C., Hansen, S. D., Sørensen, J. A., On Speech Enhancement Algorithms Based on Signal Subspace Methods, IEEE Nordic Signal Processing Symposium, NORSIG-98, pp. 221-224, 1998 [full] [bibtex]

  • Hansen, P. K., Hansen, P. C., Hansen, S. D., Sørensen, J. A., ULV-Based Signal Subspace Method for Speech Enhancement, International Workshop on Acoustic Echo and Noise Control, IWAENC'97, pp. 9-12, Imperial Collega, 1997 [full] [bibtex]

  • Hansen, P. K., Hansen, P. C., Hansen, S. D., Sørensen, J. A., Noise Reduction of Speech Signals using the Rank-Revealing ULLV Decomposition, Signal Processing VIII. Theories and Applications, EUSIPCO-96, vol. 2, pp. 967-970, 1996 [full] [bibtex]

  • Kereliuk, C. M., Sturm, B., Larsen, J., Are deep neural networks really learning relevant features?, DMRN+9: Digital Music Research Network One-day Workshop 2014, 2014 [full] [bibtex] [pdf]

  • Lehn-Schiøler, T., Talking Faces a State Space approach, Proceddings of DSAGM, pp. 103-111, 2004 [full] [bibtex]

  • Leimberg, D., Vester-Christensen, M., Ersbøll, B. K., Hansen, L. K., Heuristics for speeding up gaze estimation, Proc. Svenska Symposium i Bildanalys, SSBA 2005, Malmø, Sweden, SSBA, 2005 [full] [bibtex] [pdf]

  • Munk, J. K., Buus, O. T., Larsen, J., Dossi, E., Tatlow, S., Lässig, L., Sandström, L., Jakobsen, M. H., CRIM-TRACK: Sensor System for Detection of Criminal Chemical Substances, Proceedings of SPIE Security + Defense, September 21-24, Toulouse, France, vol. 9652, SPIE, 2015 [full] [bibtex]

  • Nielsen, F. Å., Balslev, D., Hansen, L. K., Data mining a functional neuroimaging database for functional segregation in brain regions, Den 15. Danske Konference i Mønstergenkendelse og Billedanalyse, The Department of Computer Science, University of Copenhagen, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Chen, A. C. N., Hansen, L. K., Testing for difference between two groups of functional neuroimaging experiments, Den 13. Danske Konference i Mønstergenkendelse og Billedanalyse, DIKU, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Experiences with Matlab and VRML in Functional Neuroimaging Visualizations, Visualization Development Environments (VDE2000), Princeton Plasma Physics Laboratory, 2000 [full] [bibtex] [pdf]

  • Opper, M., Winther, O., Approximate Inference in Probabilistic Models, Algorithmic Learning Theory: 15th International Conference, ALT 2004, Padova, Italy, October 2-5, 2004. Proceedings, vol. 3244, pp. 494 - 504, Springer-Verlag Heidelberg, 2004 [full] [bibtex] [pdf]

  • Pedersen, B. P., Larsen, J., Prediction of Full-Scale Propulsion Power using Artificial Neural Networks, Proceedings of the 8th International Conference on Computer and IT Applications in the Maritime Industries (COMPIT'09), pp. 537-550, 2009 [full] [bibtex]

  • Petersen, K. B., Using Mixture of Gaussians to Compare Approaches to Signal Separation, DSAGM, 2004 [full] [bibtex] [pdf]

  • Vester-Christensen, M., Leimberg, D., Ersbøll, B. K., Hansen, L. K., Deformable Models for Eye Tracking, Den 14. Danske Konference i Mønstergenkendelse og Billedanalyse, 2005 [full] [bibtex] [pdf]

Abstracts

  • Andersen, M. N., Andersen, K. K., Kammersgaard, L. P., Olsen, T. S., Gender Differences in Stroke Survival The Copenhagen Stroke Study (COST), 14'th European Stroke Conference, Bologna, Italy, May 25 - 28, 2005, 2005 [full] [bibtex]

  • Andersen, I. K., Rosenbaum, S., Sidaros, K., Hansson, L., Larsson, H. B., Improved Brain Perfusion Quantification using a Saturation Recovery Sequence, Euro. Soc. Mag. Reson. Med. and Bio., 2002 [full] [bibtex]

  • Andersen, I. K., Rostrup, E., Rosenbaum, S., Larsson, H. B., Perfusion measured using a dual relaxation rate sequence, 10'th Ann. Meeting of the Int. Soc. Magn. Res. Medicine., pp. 1078, 2002 [full] [bibtex]

  • Andersen, I. K., Marstrand, J. R., Hansen, L. K., Improved Deconvolution for Perfusion Quantification, 10'th Ann. Meeting of the Int. Soc. Mag. Res. in Medicine, pp. 1083, 2002 [full] [bibtex]

  • Balslev, D., Nielsen, F. Å., Lund, T. E., Law, I., Paulson, O. B., Similar brain networds for detecting visuo-motor and visuo-propriceptive synchrony, 11th Annual Meeting of the Organization For Human Brain Mapping. June 12-16, 2005. Toronto, Ontario, Canada., 2005 [full] [bibtex]

  • Balslev, D., Nielsen, F. Å., Visuoproprioceptive representations for tool skills, NeuroImage, vol. 19(2), 2003 [full] [bibtex]

  • Balslev, D., Gerlach, C., Nielsen, F. Å., Paulson, O. B., Law, I., Left parietal and posterior cingulate cortices recognize congruence between tool and effector movement, NeuroImage, vol. 19(2), 2003 [full] [bibtex]

  • Bödvarsson, B., Hansen, L. K., Knudsen, G. M., Svarer, C., Estimation of time activity curves from positron emission tomography with NMF and Bootstrap, Human Brain Mapping 2007 Chicago, vol. 36(S1), pp. S101, 2007 [full] [bibtex] [pdf]

  • Bödvarsson, B., Mørkebjerg, M., Hansen, L., Knudsen, G. M., Svarer, C., Extraction of time activity curves from positron emission tomography: K-means clustering or Non-negative matrix factorization, Human Brain Mapping 2006 Florence, vol. 31(S1), pp. 154, 2006 [full] [bibtex] [pdf]

  • Bödvarsson, B., Mørkebjerg, M., Hansen, L., Knudsen, G. M., Svarer, C., Extraction of time activity curves from positron emission tomography: K-means clustering or Non-negative matrix factorization, NeuroReceptor Mapping 2006, Copenhagen, Denmark, vol. 31(S2), pp. T185, 2006 [full] [bibtex]

  • Chen, A. C. N., Kold, J., Arendt-Nielsen, L., Hansen, L. K., Nielsen, F. Å., Brain mapping of cold/pain vs. heat/pain: A 3D VRTM analyses on the published PET/fMRI data, NeuroImage, vol. 19(2), 2003 [full] [bibtex]

  • Dyrby, T., Rostrup, E., van Straaen, E. C. W., Barkhof, F., Ropele, S., Hansen, L. K., Waldemar, G., on the behalf on the LADIS, study group, Segmentation of Age-Related White-Matter Changes in a large-scale, multi-centre study, Proceeding International Society for Magnetic Resonance in Medicine, 2006 [full] [bibtex]

  • Dyrby, T. B., Lind, N. M., Vejby Søgaard, L., Alexander, D. C., Parker, G. J., Paulson, O. B., Validation of Diffusion Tensor Imaging for in vivo tracing of cortico-thalamic projections in the Göttingen minipig brain, Proceeding International Society Neuroscience, 2005 [full] [bibtex]

  • Dyrby, T., Liptrot, M. G., Standardizing MR image Intensity In Multi-Center Studies, Proceeding International Society for Magnetic Resonance in Medicine, 2005 [full] [bibtex]

  • Dyrby, T. B., Vejby, L. S., Parker, G. J. M., Alexander, D. C., Lind, N. M., Paulson, O. B., Jelsing, J., Validation of multi-fibre probabilistic tractography of corticothalamic projections in the Göttingen minipig brain, Proceeding International Society for magnetic resonance in Medicine, 2005 [full] [bibtex]

  • Dyrholm, M., Hansen, L. K., Wang, L., Arendt-Nielsen, L., Chen, A. C., Convolutive ICA (c-ICA) captures complex spatio-temporal EEG activity, 10th annual meeting of the organization for human brain mapping, 2004 [full] [bibtex]

  • Feng, L., Hansen, L. K., Cognitive Components of Speech at Different Time Scales, NIPS Workshop: Advances in Acoustic Models, 2006 [full] [bibtex] [pdf]

  • Feng, L., Cognitive Component Analysis, Machine Learning: Theory, Applications, Experiences. A Workshop for Women in Machine Learning, 2006 [full] [bibtex] [pdf]

  • Frøhling, K. B., Alstrøm, T. S., Bache, M., Schmidt, M. S., Schmidt, M. N., Larsen, J., Jakobsen, M. H., Boisen, A., Statistical Analysis of Large Areas of Raman Mapped DNA Functionalized Gold Coated Silicon Nanopillar SERS Substrates, 8th Internaional Conference on Advanced Vibrational Spectroscopy, Vienna, Austria, 2015 [full] [bibtex] [pdf]

  • Hansen, L. K., ICA if fMRI based on a convolutive mixture model, Ninth Annual Meeting of the Organization for Human Brain Mapping (HBM 2003), NewYork, 2003 June., 2003 [full] [bibtex]

  • Hanson, L. G., Dyrby, T., RF inhomogenity correction: Validity of the smooth-bias approximation, Proceeding International Society for Magnetic Resonance in Medicine, 2002 [full] [bibtex]

  • Jelsing, J., Hay-Schmidt, A., Uylings, H. B., Dyrby, T., Pakkenberg, B., The prefrontal cortex of the Göttingen minipig brain defined by neural projection criteria and cytoarchitecture, Proceeding International Society for Neuroscience, 2005 [full] [bibtex]

  • Liptrot, M. G., Ramsøy, T. Z., Lund, T. E., Sidaros, K., Christensen, M. S., Nielsen, F. Å., Baare, W., Jernigan, T. L., Investigation of Spatial Normalization Problems for Medial Temporal Lobe Structures, NeuroImage special issue: Twelfth Annual Meeting of the Organization for Human Brain Mapping, vol. 21, Elsevier, 2006 [full] [bibtex]

  • Liptrot, M. G., Dyrby, T., Simonsen, H., Søgaard, L. V., Brandt, C., Rowland, I. J., Semi-Quantitative Assessment of Inflammation in dMRI using Data Mining Techniques, Preceeding International Society for Magnetic Resonance in Medicine, 2005 [full] [bibtex]

  • Liptrot, M. G., Dyrby, T., Simonsen, H., Søgaard, L. V., Brandt, C., Rowland, I. J., Semi-Quantitative Assessment of Inflammation in dMRI using Data Mining Techniques, Proceeding Image Analysis and in vivo Pharmachology, 2005 [full] [bibtex]

  • Madsen, K. H., Lund, T. E., Simultaneous acquisition of polar and eccentricity mappings of the human visual cortex using fMRI, Proceedings of the Annual Meeting of ISMRM, no. 566, 2005 [full] [bibtex]

  • Nielsen, F. Å., Sequential collaboration network with sentiment coloring, NetSci 2013, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, S., Andersen, T., T1 difficulty modulates the attentional blink only when T1 is unmasked, Vision Sciences Society, vol. 10(7), pp. 204, 2010 [full] [bibtex]

  • Nielsen, S., Petersen, A., Andersen, T., Under which conditions does T1 difficulty affect T2 performance in the attentional blink?, Vision Sciences Society, vol. 9(8), pp. 156, 2009 [full] [bibtex]

  • Nielsen, F. Å., Brede Wiki: A neuroinformatics Web services with structured information, 2nd INCF Congress of Neuroinformatics, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., The Brede Wiki: A social neuroinformatics web-service with structured information from neuroscience, Human Brain Mapping 2009, Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Balslev, D., A functional meta-analytic atlas with non-negative partial least squares, 12th Annual Meeting of the Organization for Human Brain Mapping, 2006 [full] [bibtex]

  • Nielsen, F. Å., Databasing molecular neuroimaging studies, NeuroImage, vol. 31, pp. T184, Elsevier, 2006 [full] [bibtex] [pdf]

  • Nielsen, K., Madsen, K., Frederiksen, J., fMRI used as a diagnostic tool, Human Brain Mapping, 2005 [full] [bibtex]

  • Nielsen, F. Å., Svarer, C., Hansen, L. K., Knudsen, G. M., Meta-analytic clustering of molecular neuroimaging studies, Neurodag 2004, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Databasing Molecular Neuroimaging, 2nd Nordic Neuroinformatics Workshop, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Balslev, D., Hansen, L. K., Mining Posterior Cingulate, NeuroImage, vol. 22, 2004 [full] [bibtex]

  • Nielsen, F. Å., Hansen, L. K., Assessing the reproducibility in sets of Talairach coordinates, NeuroImage, vol. 22, 2004 [full] [bibtex]

  • Nielsen, F. B., Hansen, L. K., Strother, S. C., Probabilistic Partial Least Squares: How many factors?, 10th Annual Meeting of the Organization for Human Brain Mapping (HBM 2004), vol. 22, pp. WE263, 2004 [full] [bibtex]

  • Nielsen, F. Å., The Brede database: a small database for functional neuroimaging, NeuroImage, vol. 19(2), Elsevier, 2003 [full] [bibtex] [pdf] [ps]

  • Nielsen, F. Å., Hansen, L. K., Finding related functional neuroimaging volumes, NeuroImage, vol. 16(2), Academic Press, 2002 [full] [bibtex]

  • Nielsen, F. Å., Hansen, L. K., Automatic anatomical labeling of Talairach coordinates and generation of volumes of interest via the BrainMap database, NeuroImage, vol. 16(2), Academic Press, 2002 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Kjems, U., Modeling of location in the BrainMap database: Detection of outliers, NeuroImage, vol. 13(6), pp. S211, 2001 [full] [bibtex]

  • Nielsen, F. Å., Hansen, L. K., Author cocitation analysis of articles from "NeuroImage", NeuroImage, vol. 13(6), pp. S212, Academic Press, 2001 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Goutte, C., Hansen, L. K., Modelling the fMRI response using smooth FIR filters, NeuroImage, vol. 13(6), pp. S210, Academic Press, 2001 [full] [bibtex]

  • Nielsen, F. Å., Hansen, L. K., Neuroinformatics based on VRML, NeuroImage, vol. 7(4), pp. S782, Elsevier, 1998 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Strother, S. C., Canonical Ridge Analysis with Ridge Parameter Optimization, NeuroImage, vol. 7(4), pp. S758, Elsevier, 1998 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Toft, P., Goutte, C., Lange, N., Strother, S. C., Mørch, N., Svarer, C., Savoy, R., Rosen, B., Rostrup, E., Born, P., Comparison of two convolution models for fMRI time series, NeuroImage, vol. 5(4), pp. S473, Academic Press, 1997 [full] [bibtex] [pdf]

  • Ramsøy, T. Z., Lund, T. E., Liptrot, M. G., Sidaros, K., Christensen, M. S., Nielsen, F. Å., Paulson, O. B., Jernigan, T. L., Effects of Spatial Normalization on Detection of Perirhinal Cortex Activation in Individual Subjects Using fMRI, Alzheimer's Assocation International Conference on Prevention of Dementia, 2005 June 18-21, Washington, D.C., 2005 [full] [bibtex]

  • Rask, T., Dyrby, T., Comerci, M., Quarantelli, M., Alfano, B., Berkouk, K., Baron, J., Colchester, A., Hojjat, A., Knudsen, G. M., Paulson, O. B., Svarer, C., PVE-lab:Software for correction of functional images for partial volume errors, Annual Meeting Organization for Human Brain Mapping, 2004 [full] [bibtex]

  • Stahlhut, C., Mørup, M., Winther, O., Hansen, L. K., Evaluation of the influence of uncertain forward models on the EEG source reconstruction problem, Human Brain Mapping, 2009 [full] [bibtex] [pdf]

  • Wilkowski, B., Neuroscientific literature search based on the location coordinates in brain - BredeQuery plugin for SPM environment, Frontiers in Neuroinformatics, 2009 [full] [bibtex]

  • Wilkowski, B., Szewczyk, M. M., Hansen, L. K., Bridging the gap between coordinate- and keyword- based search of neuroscientific databases by UMLS-assisted semantic keyword extraction, Human Brain Mapping 2009, Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Wilkowski, B., Knowledge Discovery in Neuroinformatics, Medical Informatics in a United and Healthy Europe (MIE 2009), 2009 [full] [bibtex] [pdf]

  • Zhou, X., Ross, L., Lehn-Schiøler, T., Parra, L., Temporal visual cues aid speech recognition, 7th Annual Meeting of the International Multisensory Research Forum, 2006 [full] [bibtex]

Books

Author

  • Nielsen, F. Å., Data Mining with Python (working draft), Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2015 [full] [bibtex] [pdf]

Editorship

  • Adali, T., Chanussot, J., Jutten, C., Larsen, J., 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2009), IEEE, 2009 [full] [bibtex]

  • Barros, A. K., Mandic, D., Larsen, J., Introductory Note, Journal of VLSI signal processing systems for signal, image and video technology, vol. 45(1-2), pp. 5-6, Springer, 2006 [full] [bibtex]

  • Barros, A., Principe, J., Larsen, J., Adali, T., Douglas, S. C., Proceedings of IEEE Workshop on Machine Learning for Signal Processing XIV, IEEE Press, 2004 [full] [bibtex]

  • Bourlard, H., Adali, T., Bengio, S., Larsen, J., Douglas, S., Proceedings of the 2002 IEEE Workshop on Neural Networks for Signal Processing, IEEE Press, 2002 [full] [bibtex]

  • Calhoun, V., Adali, T., Larsen, J., Miller, D., Douglas, S., Proceedings of IEEE Machine Learning for Signal Processing Workshop XV, IEEE, 2005 [full] [bibtex]

  • Diamantaras, K., Adali, T., Pitas, I., Larsen, J., Papadimitriou, T., Douglas, S., Proceedings of the IEEE Machine Learning for Signal Processing XVII, IEEE Press, 2007 [full] [bibtex]

  • Guan, L., Adali, T., Katagiri, S., Larsen, J., Principe, J., Guest editorial special issue on intelligent multimedia processing, IEEE Transactions on Neural Networks, vol. 13(4), pp. 789, 2002 [full] [bibtex]

  • Guan, L., Kung, S., Larsen, J., Multimedia Image and Video Processing, 2000 [full] [bibtex]

  • Hen, Y., Larsen, J., Wilson, E., Larsen, J., Proceedings of the 1999 IEEE Workshop on Neural Networks for Signal Processing, IEEE Press, Piscataway, New Jersey, 1999 [full] [bibtex]

  • Katagiri, S., Nakamura, A., Tao, J., Larsen, J., Tan, T., Guest Editorial: Machine Learning for Signal Processing, Journal of Signal Processing Systems, vol. 74(3), pp. 281-283, Springer, 2014 [full] [bibtex]

  • Mboup, M., Adali, T., Moreau, É., Larsen, J., International Workshop on Machine Learning for Signal Processing (MLSP) 2014, IEEE Press, 2015 [full] [bibtex]

  • McLoone, S., Adali, T., Larsen, J., Hulle, M. V., Rogers, A., Douglas, S. C., Proceedings of IEEE Machine Learning for Signal Processing Workshop XVI, IEEE Press, 2006 [full] [bibtex]

  • Miller, D. J., Adali, T., Larsen, J., Van Hulle, M. M., Guest Editorial for Special Issue on Machine Learning for Signal Processing, Journal of VLSI signal processing systems for signal, image and video technology, vol. 37(2-3), pp. 171-175, Springer, 2004 [full] [bibtex]

  • Miller, D., Adali, T., Larsen, J., Van Hulle, M., Douglas, S., Proceedings of the 2001 IEEE Workshop on Neural Networks for Signal Processing, IEEE Press, 2001 [full] [bibtex]

  • Molina, C., Adali, T., Larsen, J., Hulle, M. V., Douglas, S. C., Rouat, J., Proceedings of the IEEE 2003 Neural Networks for Signal Processing Workshop, IEEE Press, 2003 [full] [bibtex]

  • Müller, M., Goto, M., Schedl, M., Multimodal Music Processing, Multimodal Music Processing, Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing, 2012 [full] [bibtex] [pdf]

  • Sanei, S., Smaragdis, P., Ho, A. T., Nandi, A. K., Larsen, J., Guest Editorial: Machine Learning for Signal Processing, Journal of Signal Processing Systems, 2015 [full] [bibtex] [pdf]

  • Sanei, S., Smaragdis, P., Nandi, A., Ho, A. T., Larsen, J., International Workshop on Machine Learning for Signal Processing (MLSP) 2013, IEEE Press, 2013 [full] [bibtex]

  • Santamaría, I., Arenas-García, J., Camps-Valls, G., Erdogmus, D., Pérez-Cruz, F., Larsen, J., International Workshop on Machine Learning for Signal Processing (MLSP) 2012, IEEE Press, 2012 [full] [bibtex]

  • Tan, T., Katagiri, S., Tao, J., Nakamura, A., Larsen, J., International Workshop on Machine Learning for Signal Processing (MLSP) 2011, IEEE Press, 2011 [full] [bibtex]

  • Tsai, Y., Kung, T., Larsen, J., Proceedings of SPIE: Input/Output and Imaging Technologies, vol. 3422, SPIE, 1998 [full] [bibtex]

  • Unchini, A., Diamantaras, K., Palmieri, F. A., Larsen, J., Proceedings of the International Workshop on Machine Learning for Signal Processing (MLSP) 2016, IEEE Press, 2016 [full] [bibtex]

  • Van Hulle, M. M., Larsen, J., Machine Learning for Signal Processing, Neurocomputing, vol. 72(1-3), pp. 1.2, 2008 [full] [bibtex]

  • Van Hulle, M. M., Larsen, J., Machine Learning for Signal Processing, Neurocomputing, vol. 72(1-3), pp. 1.2, 2008 [full] [bibtex]

  • Windrow, B., Guan, L., Paliwa, K., Adali, T., Larsen, J., Wilson, E., Douglas, S., Proceedings of the 2000 IEEE Workshop on Neural Networks for Signal Processing, IEEE Press, Piscataway, New Jersey, 2000 [full] [bibtex]

Chapter

  • de Freitas, J., Andreiu, C., Højen-Sørensen, P. A., Nirandan, M., Gee, A., Sequential Monte Carlo Methods for Neural Networks, Sequential Monte Carlo Methods in Practise, Springer-Verlag, 2001 [full] [bibtex]

  • Hansen, L. K., Networking real and virtual brains, Bridging from technology to society, pp. 166-175, Technical University of Denmark, 2004 [full] [bibtex]

  • Hansen, L. K., Purushotham, A., Kim, S., Testing competing hypotheses about single trial fMRI, Exploratory Analysis and Data Modeling in Functional Neuroimaging, vol. 3, pp. 49-62, MIT Press, 2003 [full] [bibtex] [ps]

  • Hansen, L. K., Larsen, J., Kolenda, T., On Independent Component Analysis for Multimedia Signals, Multimedia Image and Video Processing, pp. 175-199, CRC Press, 2000 [full] [bibtex]

  • Hintz-Madsen, M., Hansen, L. K., Larsen, J., Drzewiecki, K., A Probabilistic Neural Network Framework for Detection of Malignant Melanoma, Artificial Neural Networks in Cancer Diagnosis, Prognosis and Patient Management, pp. 141-183, CRC Press, 2001 [full] [bibtex]

  • Kolenda, T., Hansen, L. K., Sigurdsson, S., Indepedent Components in Text, Advances in Independent Component Analysis, pp. 229-250, Springer-Verlag, 2000 [full] [bibtex] [zip]

  • Larsen, J. E., Halling, S., Sigurðsson, M., Hansen, L. K., MuZeeker – Adapting a music search engine for mobile phones, Mobile Multimedia Processing: Fundamentals, Methods, and Applications, Springer Berlin / Heidelberg, 2010 [full] [bibtex]

  • Larsen, J., Svarer, C., Andersen, L. N., Adaptive Regularization in Neural Network Modeling, Neural Networks: Tricks of the Trade, Lecture Notes in Computer Science, vol. 1524, pp. 113-132, Springer-Verlag, 1998 [full] [bibtex] [pdf] [ps]

  • Lautrup, B. E., Hansen, L. K., Hjernen i computeren – Computeren i hjernen, Homo Sapiens 2.0, GADs Forlag, 2002 [full] [bibtex] [pdf]

  • Madsen, J., Jensen, B. S., Larsen, J., Predictive Modeling of Expressed Emotions in Music using Pairwise Comparisons, From Sounds to Music and Emotions, vol. 7900, pp. 253-277, Springer-Verlag Berlin Heidelberg, 2013 [full] [bibtex] [pdf]

  • Pedersen, M. S., Larsen, J., Kjems, U., Parra, L. C., A Survey of Convolutive Blind Source Separation Methods, Springer Handbook of Speech Processing, Springer Press, 2007 [full] [bibtex] [pdf]

Master's theses

Academic theses

  • Abrahamsen, T. J., Kernel Methods for De-noising with Neuroimaging Application, 2009 [full] [bibtex]

  • Ahrensberg, K., Text Reading on Small Displays Based on 3D Visualization, 2009 [full] [bibtex]

  • Akram, M. S., Pilot-based Channel Estimation in OFDM Systems, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Albeck, F. B., Node search - a graph approach to navigating linked data, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Alfredsen, J., MIINERO - En lokationsbaseret tilbudsportal, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Andersen, M. R., Sparse inference using approximate message passing, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Andersen, K. T., Wind Noise Reduction in Single Channel Speech Signals, Department of Informatics and Mathematical Modelling, 2008 [full] [bibtex] [pdf]

  • Andersen, B. M., Conga – The Context Gallery : Using Context Awareness for Personal Content Management on Mobile Devices, 2008 [full] [bibtex]

  • Andersen, M. N., Andersen, R. Ø., Filtering in hybrid dynamic Bayesian networks, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [pdf]

  • Andreassen, N. K., Øxenhave, S., Aktivitetscentrerede interaktionsmodeller til næste generation af mobile enheder, 2008 [full] [bibtex]

  • Arinbjarnarson, T. M., Bayesian Approach to the Ill-posed EEG Inverse Problem, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Arngren, M., Modelling cognitive representations, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Bakalov, V., PitchMe: YouTube meets LinkedIn, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Bazaou, S., Variational Bayes Latent Variable Models And Mixture Extensions, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf] [ps]

  • Becci, F., IoCast - Bring Participatory Journalism Within A Smartphone’s Reach, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Behn, C., Analyzing behavior in computer games, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Benjaminsen, C., Filtering of Periodic Noise Using the Complex Wavelet Transform, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Beuschau, E. B., Learning usage behavior based on app feedback, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Birch, S., Statistical text modelling - Towards modelling of matching problems, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [pdf]

  • Bodvarsson, B., Mørkebjerg, M., Analysis of Dynamic PET Data, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Bražinskas, R., Towards Context Awareness Using Mobile Sensors, 2008 [full] [bibtex]

  • Brink, U. U., Clarkson, K. M., Enterprise Social Media Management baseret på Data Mining af Tweets, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Bøge-Rasmussen, C., Tripbook, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex]

  • Chatzigeorgakidis, G., SensibleJournal 2014: A Mobile Life-logging System for Personal Mobility, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Chen, R., Person Recognition Utilizing Acoustic Properties of the Outer Ear - A Biometric Proof of Concept, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]

  • Christensen, L. P. B., Signal processing for ultra-wideband systems, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [pdf]

  • Ciosek, T. L., Context Mining, 2010 [full] [bibtex]

  • Cuttone, A., SensibleJournal: A Mobile Personal Informatics System for Visualizing Mobility and Social Interactions, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Dhir, A., People, Product and Experiences - User Centered Design of Mobile Mixed Reality Applications, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Dhir, A., MMR mobile mixed reality and user experience, 2011 [full] [bibtex]

  • Dyrby, T., RF inhomogenitetens indflydelse på MR scan, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Dyrholm, M., Pontoppidan, N. H., Signal separation, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • El-Azm, F., Sonification and augmented data sets in binary classification, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Falmark, K. B., Integrating smartphone and sensor data in a quantied self app, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Feng, L., Speaker Recognition, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf]

  • Frandsen, O., Hardware based blind source separation for realtime signal processing, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [zip]

  • Frølich, L. F., Statistical evaluation of features in classification problems with applications to detection of hypoglycemic conditions based on EEG data, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Gatej, R. C., An adaptive approach to mobile sampling, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Gudmundsson, T., Generating multi player maps through multi objective evolution, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Hammer, D. H., Statistical modeling of protein solubility, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex]

  • Hansen, A., Dahl, J., Psychoacoustically Motivated Filter Bank Design for Real Time Audio Systems, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Hansen, S. T., Sparse EEG Imaging, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Hansen, M., Comparison of Optimal and Near-Optimal Detection in GSM/EDGE, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Helgesen, K., Classification of skin lesions by raman spectroscopy, Informatics and Mathematical Modelling, Technical University of Denmark, 1999 [full] [bibtex]

  • Helt-Hansen, J., List viterbi decoding edge, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Henriksen, H., A Generative Approach to EEG Source Separation, Classification and Artifact Correction, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Hu, Q., nTag - an image management system on camera-equipped smartphones, 2008 [full] [bibtex]

  • Huisman, J. S., Theoretical and Computational Analysis of Dynamics on Complex Networks, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2016 [full] [bibtex] [pdf]

  • Hussain, S., Psychoacoustic Models and Machines Fault Detection, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex]

  • Jacobsen, D. J., Probabilistic Speech Detection, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [pdf]

  • Jarlskov, J., Social smartphone app for personalized recommendation of local experiences, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Jensen, K., The Context Toolbox - An Environment for Rapid Prototyping, 2009 [full] [bibtex]

  • Jensen, B. S., Exploratory Datamining in Music, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Jensen, M. K., Nielsen, S. S., Speech Reconstruction from Binary Masked Spectrograms Using Vector Quantized Speaker Models, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf] [ps]

  • Johnsen, N. S., Robust Financial Prediction by Learning from the Collective Intelligence of Experts, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Jradi, R. K., Social Voxel Level Editor, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2013 [full] [bibtex] [pdf]

  • Juhl, P., Vurdering af støjreduktionsalgoritmer, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf]

  • Jørgensen, K. W., Mølgaard, L. L., Tools for Automatic Audio Indexing, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Kamronn, S., Poulsen, A. T., Machine Learning for Social EEG - A Bayesian approach to correlated component analysis and recording simultaneous multiple subject EEG, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2013 [full] [bibtex] [pdf]

  • Karim, R., Theoretical Analysis For Exact Results in Stochastic Linear Learning, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf]

  • Karlsen, R., Segmentation based automatic condition monitoring on large diesel engines, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [zip]

  • Karsten, C. V., Pattern Recognition in Electric Brain Signals - mind reading in the sleeping brain, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Kashani, A. P., Prediction of Wild Type Enzyme Thermostability from Amino Acid Sequences, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]

  • Klinge, T., Design og implementering af en specialiseret søgemaskine, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Koch, N., Obtaining life-status from sensor data, 2009 [full] [bibtex]

  • Koclega, K. K., Cognitive semantics of lyrics and audio features in songs, 2010 [full] [bibtex]

  • Kolenda, T., Independent Component Analysis, Department of Mathematical Modeling, Technical University of Denmark, 1998 [full] [bibtex] [zip]

  • Krajowski-Kukiel, M., Modelling And Visualization Of A Bridge Player's Performance, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Kristjansson, R. A., User Experience in Medical Search Engines, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Lahera, J. P., Tracking People Using IPhone To Locate Their Avatars In The Virtual World, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Lange, J. C., Semantiske analysemodeller - med fokus på brugergenereret data, 2011 [full] [bibtex]

  • Larsen, K. M., Jeppesen, L. M., Analysis of Human Behaviour by Machine Learning, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Larsen, R., Jensen, J. H., Collecting, Analysing and Visualising Context Data for Enriching Relationships - Using a Mobile Social Networking Application, 2010 [full] [bibtex]

  • Larsen, T., Tobiasen, T., Automatisk fejldetektering i ukomplette data, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Lehn-Schiøler, T., Olesen, L. S., Synaptic acticity -- Learning in neural systems, 2002 [full] [bibtex] [pdf]

  • Leimberg, D., Vester-Christensen, M., Eye Tracking, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Lesov, D., Incorporating social media for personalization of ISSUU content, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Li, J., Cognitive Component Analysis on Phonemes, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Lindberg, N., Multipath and multiaccess interference cancellation for WCDMA, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Lisberg, T. A., Signalbehandling til lydsøgning, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Lozano-Angulo, J., Detection and One Class Classification of Transient Events in Train Track Noise, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Luniewski, M. A., Context-aware photo gallery for mobile phone, 2009 [full] [bibtex]

  • Lunøe, M., Personalising the Editorial Mix for a Digital Newspaper Using Constraint Programming, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Lynge, E. S., Recurrent neural networks for language modeling, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2016 [full] [bibtex] [pdf]

  • Maaløe, L., Deep Belief Nets Topic Modeling, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Madsen, J., Modeling of Emotions expressed in Music using Audio features, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Madsen, K. H., Human Visual Cortex - Investigations using fMRI, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex]

  • Madsen, R. E., Dynamic component analysis, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Magnusson, G. S., Atladottir, K., Virtual Karaoke System, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Malysa, J., Clustering photos based on context information inferred from mobile phone sensors, 2009 [full] [bibtex]

  • Manniche, C., ContextTag - Context-aware media annotation utilizing Social Networks, 2010 [full] [bibtex]

  • Marashi, N., Energy Consumption Feedback Visualization for Increased Awareness, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Marcu, A., Predictability in Temporal Networks, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Martic, A., Predictability of Human Behavior using Mobility and Rich Social Data, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Meng, A., Robust adaptive filtering using information theoretical methods, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [pdf]

  • Mersebak, N., Analysis of Social EEG - A Neuroscience Study, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Mortensen, O., The Author-Topic Model, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2017 [full] [bibtex] [pdf]

  • Moth, A. L. A., Albers, K. J., Large Scale Bayesian Modelling of Complex Networks, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2013 [full] [bibtex] [pdf]

  • Mucko, M., Translating mobile sensor data into meaningful context descriptions, 2010 [full] [bibtex]

  • Mughrabi, H., Applying SOA to an Ecommerce system, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Mørup, M., Analysis of Brain Data - Using Multi-Way Array Models on the EEG, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Nielsen, T. B., Efficient Recursive Speaker Segmentation for Unsupervised Audio Editing, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. B., Variational Approach to Factor Analysis and Related Models, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf] [ps]

  • Nielsen, F. Å., Visualization and Analysis of 3D Functional Brain Images, Department of Mathematical Modelling (now 'Informatics and Mathematical Modelling'), 1996 [full] [bibtex] [pdf] [ps.gz]

  • Ning, W., Textmining and Organization in Large Corpus, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Nygaard-Jensen, T., Sharing Music and Contextual Information in Mobile Social Networks, 2010 [full] [bibtex]

  • Ogmundarson, A., Aspect-based opinion summarization of product reviews on social media, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2015 [full] [bibtex] [pdf]

  • Olesen, L. S., Lehn-Schøler, T., Synaptic activity, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Olsson, R. K., Probabilistic Blind Source Separation, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf] [ps]

  • Omar, A. H., Audio Segmentation and Classification, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Owusu, R. K., Numerical and statistical approaches to inverse problems, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Palm, R. B., Prediction as a candidate for learning deep hierarchical models of data, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Pawlak, B. A., Utilizing context awareness to enrich relations in social networks, 2010 [full] [bibtex]

  • Pedersen, M. S., Speech segregation using blind source separation combined with head-related transfer functions, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex]

  • Pejtersen, M., Modelling of resting state fMRI, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Peña, J. L. d. l., Unifying Social Networks for Smart Phones, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Pertola, A. E., Quantified Self & Mobile Health Monitoring, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Petersen, A., Visual attention: Towards a neural network model of visual short-term memory, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Pietri, R., Privacy in Computational Social Science, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Putzek, M., Auto-correlation based convolutive blind source separation, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex]

  • Raaby, C., Analyse og prædiktion af menneskelige bevægelsesmønstre på baggrund af spatiotemporal data - Analysis and prediction of human mobility based on spatiotemporal data, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Raaby, C., Recognizing context using smartphones and social network analysis, 2011 [full] [bibtex]

  • Rahbek, D., Toolbox for convolutive mixtures, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex]

  • Ranganathan, R., User Experience Design For Quantifying Social Relations Based On Smartphone Sensors, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

  • Rasmussen, C. B., Hydrid Digital-Analog Feedback Audio Amplifiers, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf] [ps]

  • Ratajczak, J., Learning behavioural patterns in a mobile context using smartphones, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Ratajczak, J., Learning behavioural patterns in a mobile context using smartphones, 2011 [full] [bibtex]

  • Riemann, S., Affective computing, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Rojas, S., Meta-parameter selection for Support Vector Machines in wind energy forecasting models, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Rouces, J., Statistical Text Analysis Using English Dependency Structure, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Rubio, F. M., Inferring Social Networks from Distributed Bluetooth Scanning, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Salomon, J., Kernel machines for phoneme classification, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Sapiezynski, P., Measuring Patterns of Human Behavior through Fixed-Location Sensors, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Sattari, H., P2P Mobile Payment, 2011 [full] [bibtex]

  • Seliger, A., Hansen, L. B., Characterization and Discrimination of Pathological Electrocardiograms using Advanced Machine Learning Methods, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Sereda, A., Designing a Context-Aware Campus Area Gaming Environment for Mobile Platforms, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Sigurdsson, H. M., Data mining brain regions with neuroimaging databases, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Sigurdsson, M., Halling, S. C., Zeeker: A topic-based search engine, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Sigursteinsson, S. F., Social Media Mining of the Icelandic Blogosphere, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Skomial, L. T., Collaborative approach to mobile context awareness, 2010 [full] [bibtex]

  • Stanek, K., Reservoir computing in financial forecasting with committee methods, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Staszewski, M., Design and Implementation of Affective Android Music Player, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Szymanski, P., Unified approach to management of distributed personal information, pp. 130, 2010 [full] [bibtex]

  • Sønderby, S., Non-parametric survival analysis in breast cancer using clinical and genomic markers, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Søndergaard, C., Text-to-phoneme mapping with neural networks, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Sørensen, B. S., Personal Visualisation of Spatiotemporal and Social Data, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Sørensen, H. S., ICA-algoritmer og eksempler på anvendelser, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Tano, A. G., Voice activity detection using the wavelet transform, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Thrane, P., UW detektion, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex]

  • Troelsgård, R., Author and Topic Modelling in Text Data, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Valberg, S., Christensen, P. T., Improving usability of mobile devices by means of accelerometers, 2009 [full] [bibtex]

  • Voetmann, C. O., Classification of Sound Environments for Hearing Aid Applications, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Voss, M. G., Reduction of Audible Transients in Digital Amplifiers, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex]

  • Waszak, D., Sentiment recognition in social networks, 2010 [full] [bibtex]

  • Waszak, D., Sentiment recognition in social networks, 2010 [full] [bibtex]

  • Xu, Y., xTolk - A Context-Aware Mobile Application on the Nokia N95 8GB Smartphone, 2008 [full] [bibtex]

  • Zhang, Z., Real-time Monitoring of a Rich Social Data Infrastructure, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex] [pdf]

Industrial collaborations

  • Akselsen, M., Design of compressor for hearing aids, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex]

  • Andersen, N. S., Mood prediction in music, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex]

  • Andersen, M. R., Compensation on Nonlinearities in Transducers, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Arnth-Jensen, N., Applied Data Mining for Business Intelligence, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Bech, P., Multimedia sharing across platforms, 2009 [full] [bibtex]

  • Buchwald, E. v., Gesture and context based navigation of mobile services using the Relevant Service Suggestion System, 2009 [full] [bibtex]

  • Eriksen, A. N., Improvement of Time-Frequency Masking Techniques, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex]

  • Franceschi, N., Reduced-complexity semi-blind channel estimation for LTE Downlink, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Fuhr, S., Improving the User Experience of Financial Trading Platforms - A Lean Approach to App Design, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex]

  • Guo, M., Frequency Transposition in Audio Processing, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex]

  • Hassager, H. G., Algorithms and Equipment for Analysis of Snoring, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]

  • Heleniak, A., Tag-based mobile interface for music interaction, 2009 [full] [bibtex]

  • Høyer, B. D., Sequence Signals for Protein Expression, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Johansen, K. A., Collaborate Filtering using social media knowledge, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex]

  • Kuganesan, S., Design af en smartphone app for optimering af brugervenlighed ved justering af høreapparater, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex]

  • Laidlaw, J. C., Home Entertainment Solution Design with focus on Music Streaming to Android enabled Mobile Devices, 2009 [full] [bibtex]

  • Laursen, J., Interaction design and usability in healthcare course of treatment, 2011 [full] [bibtex]

  • Nie, L., Comparison of Exact and Approximate Multi-User Detection for GSM, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Nielsen, A. M., Hughes, B. D., Real-time suggestions for improving engagement of social media posts using machine learning, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2015 [full] [bibtex] [pdf]

  • Nielsen, S. F. V., Modelling Dynamic Functional Brain Connectivity, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2015 [full] [bibtex] [pdf]

  • Nielsen, A. B., Pitch based sound classification, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Nzokira, G., Detection of Anomalies in Seismic Signals, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex]

  • Nørgaard, L., Multivariate calibration, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex]

  • Nørregaard, S. M. P., Mobile health care IT: analysis of a specific case from public home care, 2010 [full] [bibtex]

  • Oettinger, J., Improved User Perceived Performance Through Client-State Aware Gateway, 2008 [full] [bibtex]

  • Olgun, M., Konsolidering af et executive netværk baseret på et smartphone cross-platform design, Technical University of Denmark, Department of Applied Mathematics and Computer Science / DTU Co, 2013 [full] [bibtex]

  • Richarme, M., The virtual SIM - a feasibility study, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2008 [full] [bibtex] [pdf]

  • Sattari, H., P2P Mobile Payment, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex]

  • Schmidt, S. L., Automated Indexing of Danish Online Shops, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex]

  • Skulason, M. A., Mobile devices as Web service providers, 2008 [full] [bibtex]

  • Staffeldt, K. v., Optimizing WEB traffic in capacity limited networks, 2008, 2008 [full] [bibtex]

  • Stopczynski, A., Multi-level contextual event detection, 2011 [full] [bibtex]

  • Suhr, U., Home Entertainment Solution System Design with focus on TV Recording and Media Distribution, 2009 [full] [bibtex]

  • Sørensen, J. B., Support Vector Machines for Pixel Classification - Application in Microscopy Images, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Varvenne, D., Time-Frequency masking for directional hearing aid applications, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex]

  • Vester, K. L., Martiny, M. C., Information retrieval in document spaces using clustering, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Weddin, M. E., Speaker Identification for Hearing Instruments, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Zandi, N., Handler, R., People, Places and Playlists: Modeling Soundscapes in a Mobile Context, 2010 [full] [bibtex]

  • Zimmermann, I., Machine learning methods for quality assessment of sensor membranes, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex]

Ph.D. theses

  • Mørup, M., Decomposition methods for unsupervised learning, 2008 [full] [bibtex]

Academic theses

  • Ahrendt, P., Music Genre Classification Systems - A Computational Approach, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Andersen, M. N., Bayesian and non-Bayesian techniques applied to censored survival data with missing values, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Andersen, I. K., Dynamic contrast enhanced MRI for perfusion quantification, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Andersen, L. N., Signal processing in the Dolphin sonar system, pp. 214, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1999 [full] [bibtex]

  • Beierholm, T., Minimum Mean-Square Error Single-Channel Signal Estimation, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex]

  • Candela, J. Q., Learning with Uncertainty - Gaussian Processes and Relevance Vector Machines, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf] [ps]

  • Christensen, L. P. B., Signal Processing for Improved Wireless Receiver Performance, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Dyrholm, M., Independent Component Analysis in a convoluted world, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Fabricius, T., Multiuser detection and channel estimation: Exact and approximate methods, pp. 272, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [zip]

  • Fog, T., Condition monitoring and fault diagnosis in marine diesel engines, pp. 178, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1998 [full] [bibtex]

  • Hansen, P. S., Signal subspace methods for speech enhancement, pp. 214, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1997 [full] [bibtex] [ps.gz]

  • Have, A. S., Datamining on distributed medical databases, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [pdf]

  • Hintz-Madsen, M., A probabilistic framework for classification of dermatoscopic images, pp. 156, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1998 [full] [bibtex] [ps.gz]

  • Høgh-Rasmussen, E., Tomographic reconstruction using anatomy and regularization, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex]

  • Højen-Sørensen, P. A., Approximating methods for intractable probabilistic models: Applications in neuroscience, pp. 104, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex] [pdf]

  • Jacobsen, D. J., Hemodynamic modelling of BOLD fMRI - A machine learning approach, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Jensen, K. J., Signal processing for distribution network monitoring, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1999 [full] [bibtex] [ps.gz]

  • Jørgensen, S. L., The Structure of Complex Networks, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Keijzer, M., Scientific discovery using genetic programming, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex] [pdf] [ps]

  • Kidmose, P., Blind separation of heavy tail signals, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Kolenda, T., Adaptive tools in virtual environments: Independent component analysis for multimedia, Informatics and Mathematical Modelling, Technical University of Denmark, 2002 [full] [bibtex] [pdf] [zip]

  • Lehn-Schiøler, T., Making Faces - State-Space Models Applied to Multi-Modal Signal Processing, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Madsen, R. E., Approaches to better context modeling and categorization, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Meng, A., Temporal Feature Integration for Music Organisation, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Munk, S. M., Centralized Monitoring of 10kV Cable Based Radial Distribution Networks, The Electronics Institute and the Power Engineering Department and the Department of Research and Development of NESA, 1995 [full] [bibtex] [zip]

  • Mørch, N. J. S., A multivariate approach to functional neuro modeling, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1998 [full] [bibtex]

  • Nielsen, F. Å., Neuroinformatics in Functional Neuroimaging, Informatics and Mathematical Modelling, Technical University of Denmark, 2001 [full] [bibtex] [pdf] [ps.gz]

  • Olsson, R. K., Algorithms for Source Separation - with Cocktail Party Applications, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2008 [full] [bibtex] [pdf]

  • Pedersen, M. S., Source Separation for Hearing Aid Applications, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006 [full] [bibtex] [pdf]

  • Pedersen, T. F., Bayesian analysis of rotating machines - A statistical approach to estimate and track the fundamental frequency, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex]

  • Pedersen, M. W., Optimization of recurrent neural networks for time series modeling, pp. 322, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1997 [full] [bibtex] [ps.gz]

  • Petersen, K. B., Mean Field ICA, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [ps]

  • Petersen, K. T., Estimation of speech quality in telecommunication systems, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1997 [full] [bibtex]

  • Philipsen, P. A., Reconstruction and restoration of PET images, pp. 134, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1998 [full] [bibtex]

  • Proschowsky, M. S., Shultz, N., Hansen, L., Adaptive Text Entry for Mobile Devices, DTU Informatik, 2008 [full] [bibtex]

  • Riis, S. K., Hidden Markov models and neural networks for speech recognition, pp. 223, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1998 [full] [bibtex] [ps.gz]

  • Sidaros, K., Slice profile effects in MR perfusion imaging using pulsed arterial spin labelling, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex] [pdf]

  • Sigurdsson, S., A Probabilistic Framework for Detection of Skin Cancer by Raman Spectra, pp. 202, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [zip]

  • Thorsen, R., Restoration of hand function in tetraplegics using myoelectrically controlled functional electrical stimulation of the controlling muscle, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 1997 [full] [bibtex]

Industrial collaborations

  • Pontoppidan, N. H., Condition Monitoring and Management from Acoustic Emissions, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

Technical reports

  • Ahrendt, P., The Multivariate Gaussian Probability Distribution, 2005 [full] [bibtex] [pdf]

  • Alstrøm, T. S., Larsen, J., Feature extraction and signal representation for colorimetric sensor arrays, 2010 [full] [bibtex]

  • Arngren, M., Larsen, J., Hansen, P. W., Eriksen, B., Larsen, R., Supplementary material for Analysis of Pre-Germinated Barley using Hyperspectral Image Analysis, Department of Informatics and Mathematical Modelling, 2011 [full] [bibtex] [pdf]

  • Arngren, M., Hyperspectral NIR Camera, Department of Informatics and Mathematical Modelling, 2011 [full] [bibtex] [pdf]

  • Arngren, M., Schmidt, M. N., Larsen, J., Supplementary material for Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior, Department of Informatics and Mathematical Modelling, 2010 [full] [bibtex] [pdf]

  • Feng, L., Hansen, L. K., A New Database for Speaker Recognition, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Feng, L., Hansen, L. K., ON LOW-LEVEL COGNITIVE COMPONENTS OF SPEECH, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Jensen, B. S., Nielsen, J. B., Pairwise Judgements and Absolute Ratings with Gaussian Process Priors, 2014 [full] [bibtex] [pdf]

  • Jensen, B. S., Gallego, J. S., Larsen, J., A Predictive Model of Music Preference using Pairwise Comparisons - Supporting material and Dataset, Department of Informatics and Mathematical Modelling, 2011 [full] [bibtex] [zip]

  • Karadogan, S. G., Additional Tutorial on openEar, 2012 [full] [bibtex] [zip]

  • Kolenda, T., Hansen, L. K., Dynamical components of Chat, Department of Mathematical Modeling, Technical University of Denmark, 2000 [full] [bibtex] [zip]

  • Larsen, J., Distribution of the Density of a Gaussian Mixture, Informatics and Mathematical Modelling, DTU, 2003 [full] [bibtex] [pdf] [zip]

  • Larsen, J., Gaussian Integrals, Informatics and Mathematical Modelling, DTU, 2003 [full] [bibtex] [pdf]

  • Lasse, M. L., Kasper, J. W., Speaker Recognition, 2005 [full] [bibtex] [pdf]

  • Lauritsen, T., Kolenda, T., I-SG : Interactive Search Grouping - Search result grouping using Independent Component Analysis, First Annual Google Programming Contest, Department of Mathematical Modeling, Technical University of Denmark, 2002 [full] [bibtex] [pdf]

  • Lehn-Schiøler, T., Petersen, K. B., Hansen, L. K., MIRANDA - Music Information Retrieval And Data Acquisition, 2006 [full] [bibtex]

  • Madsen, J., Experimental Protocol for Modeling Expressed Emotion in Music, DTU Informatics, 2012 [full] [bibtex]

  • Madsen, R. E., Approximating The DCM, 2005 [full] [bibtex]

  • Madsen, R. E., Modeling Text using State Space Models, 2004 [full] [bibtex] [pdf]

  • Madsen, R. E., Hansen, L. K., Winther, O., Singular Value Decomposition and Principal Component Analysis, 2004 [full] [bibtex] [pdf]

  • Madsen, R. E., Multi-Subject fMRI Generalization with Independent Component Representation, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [pdf]

  • Meng, A., General Purpose Multimedia Dataset - GarageBand 2008, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Mølgaard, L. L., Waste Electrical and Electronics Equipment Classification using Deep Neural Network Sensor Fusion, 2017 [full] [bibtex] [pdf]

  • Mørup, M., Hanse, L. K., Archetypal Analysis for Machine Learning, Machine Learning for Signal Processing (MLSP), IEEE Workshop on, 2010 [full] [bibtex]

  • Mørup, M., Hansen, L. K., An Exact Relaxation of Clustering, 2009 [full] [bibtex] [pdf]

  • Mørup, M., Schmidt, M. N., Hansen, L. K., Shift Invariant Sparse Coding of Image and Music Data, 2008 [full] [bibtex] [pdf]

  • Mørup, M., Schmidt, M. N., Shift Invariant Sparse Coding of Image and Music Data, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Mørup, M., Schmidt, M. N., Sparse Non-negative Matrix Factor 2-D Deconvolution, Technical Report, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Mørup, M., Hansen, L. K., Parnas, J., Arnfred, S. M., Decomposing the time-frequency representation of EEG using non-negative matrix and multi-way factorization, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Danish GIS resources, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Danish resources, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, A. B., Hansen, L. K., Integrating LifeLogs by ICA structural learning, 2007 [full] [bibtex] [pdf]

  • Nielsen, A. B., Hansen, L. K., Structure Learning by Pruning in Independent Component Analysis, 2006 [full] [bibtex]

  • Olesen, T. B., Vidal, R. V. V., SWOT - metode og anvendelser, Technical University of Denmark, CTI, 1995 [full] [bibtex] [pdf]

  • Pedersen, M. S., Matricks, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex] [pdf] [ps]

  • Pennock, D. M., Lawrence, S., Giles, C. L., Nielsen, F. Å., The Power of Play: Efficiency and Forecast Accuracy in Web Market Games, NEC Research Institute, 2000 [full] [bibtex] [pdf]

  • Petersen, K. B., Winther, O., Explaining slow convergence of EM in low noise linear mixtures, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex] [pdf]

  • Pontoppidan, N. H., Larsen, J., Sigurdsson, S., Steel, J., Douglas, R., Fog, T., Brown, E., Data acquisition strategy and signal preprocessing, Informatics and Mathematical Modelling, Technical University of Denmark, 2003 [full] [bibtex]

  • Quinonero-Candela, J., Girard, A., Rasmussen, C. E., Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines Application to Multiple-Step Ahead Time-Series Forecasting, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2003 [full] [bibtex] [ps]

  • Quiñonero-Candela, J., Girard, A., Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Time-Series Forecasting, Informatics and Mathematical Modelling, Technical Univesity of Denmark, 2002 [full] [bibtex] [pdf] [ps]

  • Quiñonero-Candela, J., Extended Linear Models with Gaussian Priors, Informatics and Mathematical Modelling, Technical University of Denmark, 2002 [full] [bibtex] [ps]

  • Schmidt, M. N., Herlau, T., Mørup, M., Nonparametric Bayesian models of hierarchical structure in complex networks, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2012 [full] [bibtex] [pdf]

  • Schmidt, M. N., Olsson, R. K., Feature Space Reconstruction for Single-Channel Speech Separation, 2007 [full] [bibtex] [pdf]

  • Schmidt, M. N., Speech Separation using Non-negative Features and Sparse Non-negative Matrix Factorization, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Schmidt, M. N., Mørup, M., Sparse Non-negative Matrix Factor 2-D Deconvolution for Automatic Transcription of Polyphonic Music, 2006 [full] [bibtex] [pdf]

  • Schultz, N., Ilieva, T. M., Fleury, A., Ahola, T., Larsen, J. E., Larsen, L. B., Nicolajsen, H. W., Nikolakopoulos, I. G., Patrikakis, C. Z., Hammershøj, A. D., Pedersen, C. F., Roswall, R., Sørensen, L. T., Usability Testing of Pilot Services, 2008 [full] [bibtex]

  • Sigurdsson, S., Larsen, J., Philipsen, P. A., Gniadecka, M., Wulf, H. C., Hansen, L. K., Estimating and suppressing background in Raman spectra with an artificial neural network, 2003 [full] [bibtex] [pdf]

  • Sigurdsson, S., Hansen, L. K., Drzewiecki, K., Identifying black dots in dermatoscopic images using template matching, 2003 [full] [bibtex] [pdf]

  • Sigurdsson, S., Hansen, L. K., Drzewiecki, K., Color segmentation of skin lesions with the generalizable Gaussian mixture model, 2003 [full] [bibtex] [pdf]

  • Stahlhut, C., Wipf, D., Attias, H. T., Hansen, L. K., Nagarajan, S. S., Probabilistic Algorithm for Electromagnetic Brain Imaging with Spatio-Temporal and Forward Model Priors, pp. 1-14, Technical University of Denmark, Department of Informatics and Mathematical Modelling, 2010 [full] [bibtex]

  • Stahlhut, C., Mørup, M., Winther, O., Hansen, L. K., On Forward Model Uncertainty in EEG Source Localization, pp. 1-13, Technical University of Denmark, Department of Informatics and Mathematical Modelling, 2009 [full] [bibtex] [pdf]

Lecture notes

  • Alstrøm, T. S., Computational reproducible research, 2015 [full] [bibtex] [zip]

  • Larsen, J., Correlation Functions and Power Spectra, Section for Cognitive Systems, Department of Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Larsen, J., Introduction to Artificial Neural Networks, Informatics and Mathematical Modelling, DTU, 1999 [full] [bibtex] [pdf]

  • Larsen, J., Solutions to Problems in Proakis and Manolakis, Digital Signal Processing, 3. Edition, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 1998 [full] [bibtex] [pdf]

Software

  • Alstrøm, T. S., Colorimetric sensor array data processing toolbox, 2013 [full] [bibtex]

  • Alstrøm, T. S., Data for nako journal, 2013 [full] [bibtex]

  • Alstrøm, T. S., Data for X paper, 2012 [full] [bibtex]

  • Arngren, M., Larsen, J., Hansen, P. W., Eriksen, B., Larsen, R., MATLAB Toolbox: Analysis of Pre-Germinated Barley using Hyperspectral Image Analysis, Department of Informatics and Mathematical Modelling, 2011 [full] [bibtex]

  • Arngren, M., Schmidt, M. N., Larsen, J., MATLAB Toolbox: Nonnegative Matrix Factorization with Volume Constraints, Department of Informatics and Mathematical Modelling, 2010 [full] [bibtex] [zip]

  • Bjerre, T., Henriksen, J., Rasmussen, P. M., Nielsen, C. H., Hansen, L. K., Madsen, K. H., Unified ica-spm analysis of fMRI experiments - implementation of an ICA graphical user interface for the SPM pipeline, Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, BIOGISNALS 2009, 2009 [full] [bibtex] [zip]

  • Hansen, L. K., Nielsen, F. Å., Larsen, J., Periodic Signal Component Estimation Software, Departntment of Informatics and Mathematical Modelling, 2003 [full] [bibtex] [zip]

  • Jørgensen, K. W., KPCA and kPA Matlab software, 2012 [full] [bibtex] [zip]

  • Karadogan, S. G., Emotional speech database design details and the java applet code written for the design, 2012 [full] [bibtex] [zip]

  • Kolenda, T., Sigurdsson, S., Winther, O., Hansen, L. K., Larsen, J., DTU:Toolbox, ISP Group, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2002 [full] [bibtex]

  • Larsen, J. E., Jensen, K., Mobile Context Toolbox, 2009 [full] [bibtex]

  • Larsen, J., IMM Power Point Design Template, IMM, 2002 [full] [bibtex]

  • Larsen, J., IMM Latex Foil Style Package, IMM, 2002 [full] [bibtex]

  • Nielsen, J. B., Jensen, B. S., Bounded Gaussian Process Regression - Supplementary Material, MLSP, 2013 [full] [bibtex] [zip]

  • Nielsen, F. Å., A new ANEW: Evaluation of a word list for sentiment analysis in microblogs - Software, Informatics and Mathematical Modelling, Technical University of Denmark, 2011 [full] [bibtex] [zip]

  • Nielsen, F. Å., Brede Toolbox, Informatics and Mathematical Modelling, Technical University of Denmark, 2002 [full] [bibtex]

  • Nielsen, F. Å., Toft, P., Liptrot, M. G., Hansen, L. K., Lyngby - A toolbox for functional neuroimaging, Informatics and Mathematical Modelling, Technical University of Denmark, 1998 [full] [bibtex]

  • Olhsson, M., Toft, P., geo, Informatics and Mathematical Modelling, Technical University of Denmark, 1997 [full] [bibtex] [zip]

  • Pedersen, M. S., Wang, D., Larsen, J., Kjems, U., Two-microphone Separation of Speech Mixtures, 2006 [full] [bibtex] [zip]

  • Petersen, M. K., Java LSA Software with HAWIK Corpus Matrices, Department of Informatics and Mathematical Modelling, 2010 [full] [bibtex] [zip]

  • Pontoppidan, N. H., Larsen, J., Sigurdsson, S., AEWATTtoolbox, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2005 [full] [bibtex]

  • Schmidt, M. N., Arngren, M., Larsen, J., MATLAB Toolbox: Bayesian Nonnegative Matrix Factorization with Volume Constraints, Department of Informatics and Mathematical Modelling, 2010 [full] [bibtex] [zip]

  • Stopczynski, A., Skomial, L., Larsen, J. E., Mobile Context Toolbox for the Maemo platform, 2010 [full] [bibtex]

  • Wilkowski, B., BredeQuery plugin for SPM5, 2009 [full] [bibtex] [zip]

Misc

Presentations

  • Adali, T., Diamantaras, K., Larsen, J., Trends in Machine Learning for Signal Processing, ICASSP 2011, IEEE Press, 2011 [full] [bibtex]

  • Alstrøm, T. S., Data–driven modeling of nano-nose gas sensor arrays, 2011 [full] [bibtex] [pdf]

  • Feng, L., Cognitive Component Analysis, DTU Informatics, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Feng, L., Hansen, L. K., On Phonemes as Cognitive Components of Speech, Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Feng, L., Hansen, L. K., On Low-level Cognitive Components of Speech, International Conference on Computational Intelligence for Modelling (CIMCA'05), 2005 [full] [bibtex] [pdf]

  • Hansen, L. K., Feng, L., Cogito Componentiter - Ergo Sum, ICA2006 - 6th International Conference on Independent Component Analysis and Blind Source Separation, 2006 [full] [bibtex] [pdf]

  • Karadogan, S. G., Larsen, J., Combining Semantic and Acoustic Features for Valence and Arousal Recognition in Speech, Department of Informatics and Mathematical Modelling, 2012 [full] [bibtex] [pdf]

  • Larsen, J., Mølgaard, L. L., Improved detection of chemical substances from colorimetric sensor data using probabilistic machine learning, SPIE: Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII, 2017 [full] [bibtex] [pdf]

  • Larsen, J., Mølgaard, L. L., Detection of chemical substances from colorimetric sensor data using probabilistic machine learning, CRIM-TRACK Dissemination Workshop, Mykolas Romeris University (MRU), Vilnius, Lithuania, DTU Compute, Richard Petersens Plads, Building 324, 2800 Kongens Lyngby, 2017 [full] [bibtex] [pdf]

  • Larsen, J., Lyd, DTU Compute, 2017 [full] [bibtex] [pdf]

  • Larsen, J., Madsen, J., Jensen, B. S., Interactive Crowdsourcing for Big Data, DTU Compute, 2016 [full] [bibtex] [pdf]

  • Larsen, J., Aare Machine Learning and AI the Magic Tools in Industry 4.0?, DTU Compute, 2016 [full] [bibtex] [pdf]

  • Larsen, J., Science Communication, DTU Compute, 2015 [full] [bibtex] [pdf]

  • Larsen, J., Cognitive Audio Informartion Modeling, PhD School on Advanced Psychoacoustics, DTU Compute, 2014 [full] [bibtex] [pdf]

  • Larsen, J., Creating meeting in audio and music signals, DTU Compute, 2013 [full] [bibtex] [pdf]

  • Larsen, J., Creating meaning in audio and music signals, DTU Compute, 2013 [full] [bibtex] [pdf]

  • Larsen, J., Creating meaning in audio and music signals, DTU Compute, 2013 [full] [bibtex] [pdf]

  • Larsen, J., Creating meaning in audio and music signals, DTU Compute, 2013 [full] [bibtex] [pdf]

  • Larsen, J., Eliciting Preferences in Music, Versamus 2012 Workshop on Advances in Music Signal and Information Processing, Department of Informatics and Mathematical Modelling, 2012 [full] [bibtex] [pdf]

  • Larsen, J., Extracting Meaning from Sound Signals - A Machine Learning Approach, Department of Informatics and Mathematical Modelling, 2012 [full] [bibtex] [pdf]

  • Larsen, J. E., My Experience with a Smartphone Brain Scanner, Quantified Self Europe Conference, 2011 [full] [bibtex]

  • Larsen, J. E., Stopczynski, A., Mobile Platforms in Research and Teaching, MeeGo 2011 conference, 2011 [full] [bibtex]

  • Larsen, J. E., Smartphones - past, present, and future, IDA-IT talk, 2010 [full] [bibtex]

  • Larsen, J., Extracting meaning from audio signals – a machine learning and signal processing approach, Department of Informatics and Mathematical Modelling, 2010 [full] [bibtex] [pdf]

  • Larsen, J., Skin cancer detection, CS Group, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Larsen, J., Technology facilitators for experience economy and creativity, Danish Experience Economy meeting on Danish research within culture and experience economy., Department of Informatics and Mathematical Modelling, 2009 [full] [bibtex] [pdf]

  • Larsen, J., Cogitive Systems - a systems engineering approach, Department of Informatics and Mathematical Modelling, 2009 [full] [bibtex] [pdf]

  • Larsen, J., Cognitive Systems, IEEE Workshop on Machine Learning for Signal Processing 2008, Department of Informatics and Mathematical Modelling, 2008 [full] [bibtex] [pdf] [zip]

  • Larsen, J., Introduction to detection systems, NDRF Post Graduate Education: Introduction to Mine Action, Hevring, Denmark, ISP Gorup, Department of Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Larsen, J., Statistical methods for decision making in mine action, NDRF Post Graduate Education: Introduction to Mine Action, Hevring, Denmark, ISP Gorup, Department of Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Larsen, J., Data processing framework for decision making, Nordic Demining Research Forum Summer Conference, ISP Gorup, Department of Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Larsen, J. E., MuZeeker application demo and presentation, S60 Summit, 2008 [full] [bibtex]

  • Larsen, J. E., Mobile Informatics Lab, Mobile Banking and Payment, 2008 [full] [bibtex]

  • Larsen, J., Xsense - miniaturized sensors for explosives detection in air, NDRF Miniseminar, University of Southern Denmark, March 6 2008, ISP Group, Department of Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Larsen, J., Data processing framework for decision making, NDRF workshop on Molecular and Odour Detection, University of Southern Denmark, March 5 2008, ISP Group, Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Larsen, J., Statistical framework for decision making in mine action, ISP Gorup, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2007 [full] [bibtex] [pdf]

  • Larsen, J., Scientific Foundations of the Demining by Fusion of Techniques Project, NDRF Summer Conference, Varde, Denmark, ISP Gorup, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2007 [full] [bibtex] [pdf]

  • Larsen, J., Extracting meaning from audio signals - a machine learning approach, ISP Group, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2007 [full] [bibtex] [pdf] [zip]

  • Larsen, J., Statistical methods for decision making in mine action, NDRF Post Graduate Education: Introduction to Mine Action, Hevring, Denmark, ISP Gorup, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Larsen, J., Basics of Bayesian Learning - Basically Bayes, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [zip]

  • Larsen, J., New Applications of Learning Machines, ISP Gorup, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2006 [full] [bibtex] [pdf] [zip]

  • Larsen, J., Search for sounds - a machine learning approach, Informatics and Mathematical Modelling, 2006 [full] [bibtex] [pdf]

  • Larsen, J., Independent Component Analysis in Multimedia Modeling, Informatics and Mathematical Modelling, Technical University of Denmark, 2003 [full] [bibtex] [zip]

  • Lehn-Schiøler, T., Converting sound to images -- How Lipmovements can be adjusted to match speech, Joint AMI/PASCAL/IM2/M4 Workshop on Multimodal Interaction and Related Machine Learning Algorithms, 2004 [full] [bibtex] [zip]

  • Meng, A., Audio Mining with emphasis on Music Genre Classification, 2004 [full] [bibtex] [pdf] [zip]

  • Mølgaard, L. L., LSA - algorithms, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Wikicite, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, F. Å., An overview of Scholia, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Scholia and scientometrics with Wikidata, Scientometrics 2017, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, F. Å., afinn project, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Jupyter (formerly IPython notebook), Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Fundamentals - from data to visualisation Big Data Business Academy, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2016 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Literature, Geolocation and Wikidata, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2016 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Scientific data and bibliographic references, Wikicite 2016, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2016 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Cogsys Principia — Emotions, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2015 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Computational Tools for Big Data - Python Libraries, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2015 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Combining text mining and coordinate-based meta-analysis, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2015 [full] [bibtex] [pdf]

  • Nielsen, F. Å., What is Watson?, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2015 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Data Mining using Python - code comments, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2015 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - course introduction, Slides for DTU course 02819, DTU Compute, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - databasing, DTU course 02820 Python Programming, Informatics and Mathematical Modelling, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming -- encoding, DTU course 02819 Python Programming, Informatics and Mathematical Modelling, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - testing, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Data Mining using Python - exercises for installation, DTU Compute, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Data Mining using Python - exercises for introduction, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Data Mining using Python - exercises for numeric Python, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Data Mining using Python - exercises for text and web mining, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - installation, Slides for DTU course 02820, DTU Compute, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - a case, DTU Compute, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - Scripting, Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - profiling, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2014 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - Pythonish python, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming -- exercises, Slides for DTU course 02820, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python Programming — Semantic Web, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programing -- machine learning, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - debugging, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - numeric Python, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - text and web mining, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming -- introduction, DTU course 02819 Data mining using Python, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - web serving, DTU course 02820 Python Programming, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - Interfacing with other language, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - Pandas, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Sentiment analysis of Wikipedia, Informatics and Mathematical Modelling, Technical University of Denmark, 2013 [full] [bibtex] [zip]

  • Nielsen, F. Å., Wiki’er og Wikipedia, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2013 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programing - GUI, DTU course 02820 Python Programming, Informatics and Mathematical Modelling, Technical University of Denmark, 2012 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming -- plotting, Informatics and Mathematical Modelling, Technical University of Denmark, 2012 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Thursday introduction for CIMBI course, Informatics and Mathematical Modelling, Technical University of Denmark, 2012 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Meta-analysis techniques, Informatics and Mathematical Modelling, Technical University of Denmark, 2012 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Kempton, M. J., Williams, S. C. R., Online open neuroimaging mass meta-analysis (slides), Informatics and Mathematical Modelling, Technical University of Denmark, 2012 [full] [bibtex] [pdf]

  • Nielsen, F. Å., The Brede database and new tools for meta-analysis (slides), Workshop on action, language and neuroinformatics, Los Angeles, California, USA, Informatics and Mathematical Modelling, Technical University of Denmark, 2011 [full] [bibtex] [pdf]

  • Nielsen, F. Å., A new ANEW: Evaluation of a word list for sentiment analysis in microblogs (slides), Informatics and Mathematical Modelling, Technical University of Denmark, 2011 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Data mining and neuroinformatics, European College of Neuropsychopharmacology, Informatics and Mathematical Modelling, Technical University of Denmark, 2010 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Brede Database, Talk given at St. Hedwig-Krankenhaus in Berlin 16 September 2010, Informatics and Mathematical Modelling, Technical University of Denmark, 2010 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Wikipedia is not the sum of all human knowledge: do we need a wiki for open data?, Wikimania, Informatics and Mathematical Modelling, Technical University of Denmark, 2010 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Meta-analysis and databasing of neuroimaging studies, Advances in magnetic resonance imaging of human brain structure and function, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - introduction to Python (2009), DTU course 02820, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Python programming - course introduction (2009), DTU course 02820 Python programming, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Brede Wiki: Neuroscience data structured in a wiki (slides), SemWiki2009, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Toolboxes and databases in neuroinformatics (2008 slides), Technical University of Denmark course "Introduction to Cognitive Psychology", Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Clustering of scientific citations in Wikipedia (slides), Wikimania 2008, Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., The Wikification of the Brede Database (slides), FIG-Cimbi meeting at the Neurobiology Research Unit 1st April 2008, Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Statistical Parametric Mapping (SPM) 2008, Basic Kinetic Modeling in Molecular Imaging, Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Scientific citations in Wikipedia, Informatics and Mathematical Modelling, Technical University of Denmark, 2007 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Linking CoCoMac and Brede databases, 2006 Nordic Network Meeting on Computational Neuroscience and Neuroinformatics, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Text and spatial data mining, CIMBI 2-day meeting, Sørup Herregaard, Ringsted, 2006 october 2-3., Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Data mining a functional neuroimaging database for functional segregation in brain regions, DSAGM 2006, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Wiki(pedia) and neuroinformatics, Workshop on Wikipedia Research, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf] [zip]

  • Nielsen, F. Å., Toolboxes and databases, fMRI Introduction Course, Center for funktionelt integrativ neurovidenskab, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Linking CoCoMac and Brede databases, Joint CIMBI-CBRC meeting, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Statistical Parametric Mapping (SPM), Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Databasing the Brain - Neuroinformatics, Multimodal Brain Imaging PhD-course, Informatics and Mathematical Modelling, Technical University of Denmark, 2005 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Non-negative partial least squares for meta-analytic parcellation of the human brain, 3rd Nordic workshop on Neuroinformatics September 9-11 2005, Informatics and Mathematical Modelling, Technical University of Denmark, 2005 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Databasing Molecular Neuroimaging, Informatics and Mathematical Modelling, Technical University of Denmark, 2005 [full] [bibtex] [pdf]

  • Nielsen, F. Å., The General Linear Model in Functional Neuroimaging, Informatics and Mathematical Modelling, Technical University of Denmark, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Receiver Operating Characteristics Curves in functional magnetic resonance imaging, Informatics and Mathematical Modelling, Technical University of Denmark, 2003 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Virtual brain mapping: Meta-analysis and visualization in functional neuroimaging, Informatics and Mathematical Modelling, Technical University of Denmark, 2002 [full] [bibtex] [pdf] [ps.gz]

  • Nielsen, F. Å., Bornholm Web Mining Techniques, Informatics and Mathematical Modelling, Technical University of Denmark, 2002 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Neuroinformatics in Functional Neuroimaging, Informatics and Mathematical Modelling, Technical University of Denmark, 2002 [full] [bibtex] [pdf] [ps.gz]

  • Nielsen, F. Å., Bayesian and Maximum Likelihood Neural Networks, Department of Mathematical Modelling, Technical University of Denmark, 1998 [full] [bibtex] [pdf]

  • Pedersen, M. S., Lehn-Schiøler, T., Larsen, J., Blues from Music, ICA 2006, 2006 [full] [bibtex] [pdf]

  • Pedersen, M. S., Wang, D., Larsen, J., Kjems, U., Separating Underdetermined Convolutive Speech Mixtures, ICA2006, 2006 [full] [bibtex] [pdf]

  • Pontoppidan, N. H., Bayesian Pitch Tracking, Phd course, 02901 Advanced Digital Signal Processing, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex]

  • Pontoppidan, N. H., Condition monitoring with unsupervised learning, CISP Workshop 2004, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex]

  • Schmidt, M. N., Larsen, J., Reduction of non-stationary noise using a non-negative latent variable decomposition, IEEE Workshop on Machine Learning for Signal Processing 2008, Department of Informatics and Mathematical Modelling, 2008 [full] [bibtex] [pdf]

  • Schmidt, M. N., Larsen, J., Hsaio, F., Wind Noise Reduction Using Non-negative Sparse Coding, IEEE International Workshop on Machine Learning for Signal Processing 2007, ISP Group, Informatics and Mathematical Modelling, Technical University of Denmark, 2007 [full] [bibtex] [pdf]

  • Schmidt, M. N., Mørup, M., Non-negative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation, ICA2006, Technical University of Denmark, 2006 [full] [bibtex] [zip]

  • Wilkowski, B., Szewczyk, M. M., Knowledge discovery in neuroinformatics: coordinate-based meta-analytic search of neuroscientific literature and its expansion using semantic keyword extraction, 2009 [full] [bibtex] [pdf]

Posters

  • Andersen, M. N., Andersen, R. Ø., Wheeler, K., Filtering in hybrid dynamic Bayesian networks (left), International Conference on Acoustics, Speech, and Signal Processing, 2004 [full] [bibtex] [pdf]

  • Andersen, M. N., Andersen, R. Ø., Wheeler, K., Filtering in hybrid dynamic Bayesian networks (center), International Conference on Acoustics, Speech, and Signal Processing, 2004 [full] [bibtex] [pdf]

  • Andersen, M. N., Andersen, R. Ø., Wheeler, K., Filtering in hybrid dynamic Bayesian networks (right), International Conference on Acoustics, Speech, and Signal Processing, 2004 [full] [bibtex] [pdf]

  • Jensen, B. S., Nielsen, J. B., Larsen, J., Efficient Preference Learning with Pairwise Continuous Observations and Gaussian Processes (Poster), IEEE International Workshop on Machine Learning for Signal Proessing, 2011 [full] [bibtex] [pdf]

  • Kamber, J. E., Skovgaard, J., Riis, S., Larsen, J., Optimizing Cochlear Implant Modeling Methods - Focus on Music Presentation, The Music and Cochlear Implants Symposium, 2016 [full] [bibtex]

  • Larsen, J. E., Jensen, K., Mobile Context Toolbox - an extensible context framework for S60 mobile phones, EuroSSC 2009, 2009 [full] [bibtex]

  • Lehn-Schiøler, T., Parzen Particle Filters,, ICASSP, 2004 [full] [bibtex] [pdf]

  • Meng, A., Ahrendt, P., Larsen, J., Improving Music Genre Classification by Short Time Feature Integration, ICASSP, 2005 [full] [bibtex] [pdf]

  • Meng, A., Shawe-Taylor, J., An Investigation of feature models for music genre classification using the support vector classifier, International Conference on Music Information Retrieval, 2005 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Literature, geolocation and Wikidata (poster), Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2016 [full] [bibtex] [pdf]

  • Nielsen, J. B., Nielsen, J., Jensen, B. S., Larsen, J., Hearing Aid Personalization (Poster), 2013 [full] [bibtex] [pdf]

  • Nielsen, J. B., Jensen, B. S., Larsen, J., Pseudo Inputs for Pairwise Learning with Gaussian Processes (Poster), IEEE International Workshop on Machine Learning for Signal Proessing, 2012 [full] [bibtex] [pdf]

  • Nielsen, F. Å., A fielded wiki for personality genetics, WikiSym, Informatics and Mathematical Modelling, Technical University of Denmark, 2010 [full] [bibtex] [pdf]

  • Nielsen, S., Andersen, T., T1 difficulty modulates the attentional blink only when T1 is unmasked: Implications of attentional capture in the attentional blink, Vision Sciences Society, 2010 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Multivariate analysis with the Brede Toolbox, European Workshop on Challenges in Modern Massive Data Sets, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Brede Wiki: Neuroscience data structured in a wiki (poster), SemWiki2009, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., The Brede Wiki: A social neuroinformatics web-service with structured information from neuroscience (poster), HBM 2009, Informatics and Mathematical Modelling, Technical University of Denmark, 2009 [full] [bibtex] [pdf]

  • Nielsen, S., Petersen, A., Andersen, T., Under which conditions does T1 difficulty affect T2 performance in the attentional blink?, Vision Sciences Society, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., A Small Wiki for Personality Genetics (poster), 37th Annual Meeting on Biochemistry and Molecular Biology: Frontiers in Genomics. 2008, Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, A. B., On The Relevance of Spectral Features for Instrument Classification, 2007 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Databasing molecular neuroimaging studies (poster), Neuroreceptor Mapping 2006, Copenhagen, Denmark, The Sixth International Symposium on Neuroreceptor Mapping, July 6-8, 2006, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Balslev, D., A functional meta-analytic atlas with non-negative partial least squares (poster), 12th Annual Meeting of the Organization for Human Brain Mapping (HBM 2006), Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [pdf]

  • Nielsen, A. B., Pitch Based Sound Classification, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2006 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Svarer, C., Hansen, L. K., Knudsen, G. M., Meta-analytic clustering of molecular neuroimaging studies (poster), Neurodag 2004, Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, 2004 [full] [bibtex] [pdf]

  • Nielsen, F. Å., The Brede database: a small database for functional neuroimaging (poster), Ninth Annual Meeting of the Organization for Human Brain Mapping (HBM 2003), 2003 [full] [bibtex] [pdf] [ps.gz]

  • Pedersen, M. S., Larsen, J., Kjems, U., On the difference between updating the mixing matrix and updating the separation matrix, ICASSP 2005, 2005 [full] [bibtex]

  • Pedersen, M. S., Hansen, L. K., Kjems, U., Rasmussen, K. B., Semi-blind Source Separation Using Head-related Transfer Functions, ICASSP 2004, 2004 [full] [bibtex]

  • Pontoppidan, N. H., Larsen, J., Non-stationary condition monitoring through event alignment, MLSP2004, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2004 [full] [bibtex]

  • Stopczynski, A., Larsen, J. E., Mobile Phones in Cognitive Research, Meego Conference, 2010 [full] [bibtex]

Manuals

  • Nielsen, F. Å., idl2mat. IDL-Matlab Communication Package, Informatics and Mathematical Modelling, Technical University of Denmark, 1998 [full] [bibtex] [pdf]

  • Pedersen, M. S., How to make nice-looking eps-files from Visio, 2005 [full] [bibtex] [pdf]

  • Petersen, K. B., Pedersen, M. S., The Matrix Cookbook, Technical University of Denmark, 2012 [full] [bibtex] [pdf]

Other

  • Ahrendt, P., Meng, A., Music Genre Classification using the multivariate AR feature integration model, MIREX 2005 (Contest on Music Genre Classification), 2005 [full] [bibtex] [pdf]

  • Hansen, L. K., Maskinen søger og finder, Politiken (kronik), 2001 [full] [bibtex]

  • Jensen, B. S., Nielsen, J. B., Larsen, J., On the Product Probability Kernel in Sparse Gaussian Process Models, DTU - IMM, 2011 [full] [bibtex]

  • Kolenda, T., Hansen, L. K., Larsen, J., Winther, O., Data for Independent Component Analysis for Understanding Multimedia Content, 2002 [full] [bibtex] [zip]

  • Meng, A., An introduction to Variational calculus in Machine Learning, Intelligent Signal Processing, 2004 [full] [bibtex] [pdf]

  • Meng, A., An introduction to Markov and Hidden Markov Models, 2003 [full] [bibtex] [pdf]

  • Mørup, M., Schmidt, M. N., Errata to Bayesian Community Detection (Neural Computation vol. 24(9) pages 2434-2456, 2012), 2013 [full] [bibtex] [pdf]

  • Nesgaard, P., Kirkeby, O. F., Lynov, J., Larsen, J., Goldschmidt, L., Have, C., Just, G., Madsen, F., Kunsten i en ny samfundsrolle, Kronikken, no. 20, Dagbladet Politiken, 2009 [full] [bibtex]

  • Nielsen, F. Å., Diffusion and emotion: The effect of sentiment of retweeting, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Wikipedia research and tools: Review and comments, DTU Compute, Technical University of Denmark, 2017 [full] [bibtex] [pdf]

  • Nielsen, J. B., Supplementary material - Perception based Personalization of Hearing Aid using Gaussian Processes and Active Learning, DTU Compute, 2014 [full] [bibtex] [zip]

  • Nielsen, F. Å., Open Science intelligent wikis - project description, Department of Applied Mathmatics and Computer Science, Technical University of Denmark, 2011 [full] [bibtex] [pdf]

  • Nielsen, F. Å., AFINN, Informatics and Mathematical Modelling, Technical University of Denmark, 2011 [full] [bibtex] [zip]

  • Nielsen, F. Å., AFINN-96.txt, Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2010 [full] [bibtex] [zip]

  • Nielsen, F. Å., Workflows for visualizing data mining results, 2009 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Comment to Publish in Wikipedia or perish by Declan Butler at Nature News 16 December 2008, Comment on Nature News, Department of Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., One level deeper: Polymorphism wiki, Response on PLoS Biology web-site, Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Wikipedia - nørdernes sejr over vandalerne?, Informatics and Mathematical Modelling, Technical University of Denmark, 2008 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Neuroinformatik: Maskinforståelse af hjernen?, University of Copenhagen, "Body and Mind" Research Priority Area, 2005 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Functional Volumes Modeling using Kernel Density Estimation, 2000 [full] [bibtex] [pdf]

  • Nielsen, F. Å., Hansen, L. K., Modeling of BrainMap data, Informatics and Mathematical Modelling, Technical University of Denmark, 1999 [full] [bibtex] [pdf]

  • Petersen, A., Visit my personal website, if you would like to see my publications..., vol. 1(1), pp. 1, 2006 [full] [bibtex]

  • Petersen, K. B., Nye virtuelle markeder, Berlingske Business, mandag 13. februar, 2006 [full] [bibtex]

  • Petersen, K. B., Analyse af blandet data, Tidsskriftet Gamma, no. 138, 2005 [full] [bibtex]

  • Pontoppidan, N. H., Review report, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2002 [full] [bibtex]

  • Pontoppidan, N. H., Dyrholm, M., Bayesiansk signalbehandling med slepianske sekvenser, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2001 [full] [bibtex]

  • Schmidt, M. N., Schwartz, S., Larsen, J., Extra material for: "Interactive 3D Audio: Enhancing awareness of details in immersive soundscapes?", Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2012 [full] [bibtex] [zip]

  • Schmidt, M. N., Mørup, M., Reversible jump MCMC for Bayesian NMF, NIPS Workshop on Monte Carlo Methods for Bayesian Inference in Modern Day Applications, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2010 [full] [bibtex] [pdf]

Patents

  • Alstrøm, T., Schmidt, M. N., Larsen, J., Frøhling, K. B., Boisen, A., Schmidt, M. S., Method and systems of detecting a target analyte, 2014 [full] [bibtex]

  • Alstrøm, T. S., Schmidt, M. N., Larsen, J., Boisen, A., Frøhling, K. B., Schmidt, M. S., Method and System of Detecting a Target Analyte, 2014 [full] [bibtex]

Bachelor theses

Academic theses

  • Albeck, F. B., Udvikling af mobil applikation til indendørs navigering, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Ambrosen, K. S., Integration of Multimodal MR Data, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Donnell, M. M., A Location Based Shopping List, 2009 [full] [bibtex]

  • Guldager, N., Groth, O. E., Hvordan Facebook kan udnytte Bluetooth i en smartphone, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Hansen, A., Dahl, J., Active Echo Cancellation in Headsets with Bone Conducting Microphone, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex]

  • Hansen, E. L., Fuhr, S., A Framework for Hosting Context-Aware Web Services - An Analysis of Available Solution Models, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Jakobsen, B., Optimizing the performance of mobile touch interfaces, 2011 [full] [bibtex]

  • Jarlskov, J. W., Kontekst-baserede forslag til sociale arrangementer, 2010 [full] [bibtex]

  • Jensen, N. G., Groth, O. E., How Facebook can utilize Bluetooth in a smartphone, 2011 [full] [bibtex]

  • Lund, U., The Bill and Digital administration, 2011 [full] [bibtex]

  • Orthmann, C., Positioning and registration of items in a mobile context, 2011 [full] [bibtex]

  • Persson, C., Machine Learning for Tagging of Biomedical Literature, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Qian, J., Smartphone application for music recommendation based on musician network, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Sørensen, A. T., Anvendelse af mobile interfaces for neurofeedback træning, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Sørensen, B. S., The context-aware phonebook, 2010 [full] [bibtex]

  • Taarnhøj, L., Pseudo panoramas for web based apartment presentations, 2010 [full] [bibtex]

  • Tareen, I., Kjellerup, M., Optimering af mobile interfaces for neurofeedback, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • van Zanten, M. C. V., Undersøgelse og udvikling af mobil menustrukturer og manøvrering ved hjælp af accelerometer og touchskærm, 2009 [full] [bibtex]

Industrial collaborations

  • Axel, T., Mobile Train Information Prototype, 2009 [full] [bibtex]

  • Degn, C. M., Proactive web mining, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex]

  • Dengsø, G. M. M., Hu, J. S. D., Web 2.0-tv - analyse og design, 2009 [full] [bibtex]

  • Hartmannsdottir, E., Star Mobil, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2007 [full] [bibtex] [pdf]

  • Hededam, J., Network test program for the Android platform on mobile devices, 2009 [full] [bibtex]

  • Nielsen, S. F. V., Classification of Own Voice in Hearing Aids, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex]

  • Pedersen, K., Arge, D., Jalling, J. B., Mean Opinion Score measurements on VoIP connections, 2009 [full] [bibtex]

Demos

  • Ahrendt, P., Meng, A., Larsen, J., Lehmann, S., The Clever Toolbox - the Art of Automated Genre Classification, ISP Group, Informatics and Mathematical Modelling, Tehcnical University of Denmark, 2005 [full] [bibtex] [zip]

  • Larsen, J., Jensen, T., Haahr, R., Duun, S., Pulse Oximetry Matlab Demo Software, Department of Informatics and Mathematical Modelling, 2009 [full] [bibtex] [zip]

  • Larsen, J. E., Pawlak, B., MuZeeker mobile application, 2008 [full] [bibtex]

  • Lehmann, S., Petersen, K. B., Lehn-Schiøler, T., Hansen, L. K., Larsen, J., Sigurdsson, S., Arenas-Garcia, J., Sound Search Engine Concept, Informatics and Mathematical Modelling, Technical University of Denmark, 2006 [full] [bibtex] [zip]

  • Lehn-Schiøler, T., Talking faces, 2005 [full] [bibtex]

  • Mørup, M., Glückstad, F. K., Herlau, T., Schmidt, M. N., multinomial IRM for Bipartite and N-way data, 2015 [full] [bibtex] [zip]

  • Mørup, M., Schmidt, M. N., Matlab code for Bayesian Community Detection, 2011 [full] [bibtex] [zip]

  • Mørup, M., SR-clustering algorithm, 2009 [full] [bibtex] [zip]

  • Mørup, M., Schmidt, M. N., Shift Invariant Sparse Coding, 2008 [full] [bibtex] [zip]

  • Mørup, M., Madsen, K. H., SICA, 2007 [full] [bibtex] [zip]

  • Mørup, M., Madsen, K. H., ShiftedNMF, 2007 [full] [bibtex] [zip]

  • Mørup, M., Clemmensen, L. H., Multiplicative updates for the LASSO, 2007 [full] [bibtex] [zip]

  • Mørup, M., Madsen, K. H., NLARS, 2007 [full] [bibtex] [zip]

  • Mørup, M., Schmidt, M. N., Non-negative Matrix Factor 2-D Deconvolution, 2006 [full] [bibtex] [zip]

  • Mørup, M., Non-negative Multi-way/Tensor Factorization NMWF/NTF extended to encorporate sparseness constraints, 2006 [full] [bibtex] [zip]

  • Mørup, M., Sparse Higher Order Non-negative Matrix Factorization, 2006 [full] [bibtex] [zip]

  • Pedersen, M. S., Wang, D., Larsen, J., Kjems, U., Two-microphone Separation of Speech Mixtures, 2006 [full] [bibtex] [pdf] [zip]

  • Schmidt, M. N., Mørup, M., Matlab Demo: Non-negative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation, Matlab Demo, Technical University of Denmark, 2006 [full] [bibtex] [zip]

  • Stahlhut, C., Stopczynski, A., Petersen, M. K., Larsen, J. E., Hansen, L. K., Get mobile - The Smartphone Brain Scanner, IEEE EMC/CAS/SMC Workshop on Brain Machine-Body Interface (BMBI), pp. 1, 2012 [full] [bibtex] [pdf]

Bachelor of Engineering theses

Academic theses

  • Andreasen, J. L., Brink, U. U., Kollektiv Intelligens i Digitale Medier, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Clarkson, K. M., User Experience project of mobile application for VP Securities, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]

  • Enevoldsen, U., Optimization of CAPS user interface, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Lund, U., Lovforslag og digital administration - Fra HumanComputerInteraction til LawComputerInteraction, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2011 [full] [bibtex] [pdf]

  • Qvistgaard, M., ITIL - Set i et globalt lys, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]

  • Strauch, C. S., Design af en intelligent køleskabs app med brug af Web 2.0 semantik, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]

  • Sørensen, M. S., Touch interface til mobilt Borger.dk, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

Industrial collaborations

  • Ferskner, M., Utilizing a 3rd party graphics engine in the Nokia S40 SW platform, 2008 [full] [bibtex]

  • Jensen, R. T., Cross Platform Applications for Mobile Devices, 2010 [full] [bibtex]

  • Karlsson, S., Magazine recommendations based on social media trends, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex] [pdf]

  • Laundav, D. K., Usability Test i forhold til Regulatoriske Krav, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]

  • Lund, J., Tablet Interface For Environment Monitoring, Technical University of Denmark, DTU Compute, E-mail: compute@compute.dtu.dk, 2013 [full] [bibtex] [pdf]

  • Nasry, F., Latent semantisk analyse af smagsoplevelser, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2013 [full] [bibtex]

  • Paarlberg, S., Semantics in user-added text for categorizing press releases, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex] [pdf]

  • Sohi, S. H., Visualizing data with interactive web tools for research and clinic, Technical University of Denmark, Department of Applied Mathematics and Computer Science, 2014 [full] [bibtex]

  • Wellings, M., UserInterfaces på mobile enheder, Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk, 2012 [full] [bibtex]


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