Lars Kai Hansen

Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ingemar J. Cox, Lars Kai Hansen, Peter Ingwersen, Ole Winther: FindZebra: A search engine for rare diseases. CoRR abs/1303.3229 (2013)

Arkadiusz Stopczynski, Carsten Stahlhut, Jakob Eg Larsen, Michael Kai Petersen, Lars Kai Hansen: The Smartphone Brain Scanner: A Mobile Real-time Neuroimaging System. CoRR abs/1304.0357 (2013)

Morten Mørup, Lars Kai Hansen: Archetypal analysis for machine learning and data mining. Neurocomputing 80: 54-63 (2012)

Peter Mondrup Rasmussen, Trine Julie Abrahamsen, Kristoffer Hougaard Madsen, Lars Kai Hansen: Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation. NeuroImage 60(3): 1807-1818 (2012)

Peter Mondrup Rasmussen, Lars Kai Hansen, Kristoffer Hougaard Madsen, Nathan W. Churchill, Stephen C. Strother: Model sparsity and brain pattern interpretation of classification models in neuroimaging. Pattern Recognition 45(6): 2085-2100 (2012)

Kasper Winther Jørgensen, Lars Kai Hansen: Model Selection for Gaussian Kernel PCA Denoising. IEEE Trans. Neural Netw. Learning Syst. 23(1): 163-168 (2012)

Peter Mondrup Rasmussen, Tanya Schmah, Kristoffer Hougaard Madsen, Torben Ellegaard Lund, Grigori Yourganov, Stephen C. Strother, Lars Kai Hansen: Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps. BIOSIGNALS 2012: 254-263

Trine Julie Abrahamsen, Lars Kai Hansen: A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis. Journal of Machine Learning Research 12: 2027-2044 (2011)

Peter Mondrup Rasmussen, Kristoffer Hougaard Madsen, Torben Ellegaard Lund, Lars Kai Hansen: Visualization of nonlinear kernel models in neuroimaging by sensitivity maps. NeuroImage 55(3): 1120-1131 (2011)

Trine Julie Abrahamsen, Lars Kai Hansen: Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI. Pattern Recognition Letters 32(15): 2080-2085 (2011)

Trine Julie Abrahamsen, Lars Kai Hansen: Regularized Pre-image Estimation for Kernel PCA De-noising - Input Space Regularization and Sparse Reconstruction. Signal Processing Systems 65(3): 403-412 (2011)

Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen: Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach. Signal Processing Systems 65(3): 431-444 (2011)

Arkadiusz Stopczynski, Jakob Eg Larsen, Carsten Stahlhut, Michael Kai Petersen, Lars Kai Hansen: A Smartphone Interface for a Wireless EEG Headset with Real-Time 3D Reconstruction. ACII (2) 2011: 317-318

Michael Kai Petersen, Carsten Stahlhut, Arkadiusz Stopczynski, Jakob Eg Larsen, Lars Kai Hansen: Smartphones Get Emotional: Mind Reading Images and Reconstructing the Neural Sources. ACII (2) 2011: 578-587

Michael Kai Petersen, Lars Kai Hansen: Emotional nodes among lines of lyrics. FG 2011: 821-826

Seliz G. Karadogan, Letizia Marchegiani, Lars Kai Hansen, Jan Larsen: How efficient is estimation with missing data? ICASSP 2011: 2260-2263

Letizia Marchegiani, Seliz G. Karadogan, Tobias Andersen, Jan Larsen, Lars Kai Hansen: The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. ICMLA (1) 2011: 183-188

Toke Jansen Hansen, Lars Kai Hansen, Kristoffer Hougaard Madsen: Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI. MLINI 2011: 76-83

Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig Siebner, Lars Kai Hansen, Morten Mørup: Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling. MLINI 2011: 226-233

Trine Julie Abrahamsen, Lars Kai Hansen: Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. MLINI 2011: 256-263

Lars Kai Hansen, Adam Arvidsson, Finn Årup Nielsen, Elanor Colleoni, Michael Etter: Good Friends, Bad News - Affect and Virality in Twitter. CoRR abs/1101.0510 (2011)

Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen: Infinite Multiple Membership Relational Modeling for Complex Networks. CoRR abs/1101.5097 (2011)

Ingemar J. Cox, Jianhan Zhu, Ruoxun Fu, Lars Kai Hansen: Improving Query Correctness Using Centralized Probably Approximately Correct (PAC) Search. ECIR 2010: 265-280

Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan: Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. MLMI 2010: 157-164

Morten Mørup, Kristoffer Hougaard Madsen, Anne-Marie Dogonowski, Hartwig Siebner, Lars Kai Hansen: Infinite Relational Modeling of Functional Connectivity in Resting State fMRI. NIPS 2010: 1750-1758

Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen: Semi-Supervised Kernel PCA. CoRR abs/1008.1398 (2010)

Bartlomiej Wilkowski, Marcin Szewczyk, Peter Mondrup Rasmussen, Lars Kai Hansen, Finn Årup Nielsen: Coordinate-based Meta-analytic search for the SPM Neuroimaging Pipeline - The BredeQuery Plugin for SPM5. HEALTHINF 2009: 11-17

Troels Bjerre, Jonas Henriksen, Carsten Haagen Nielsen, Peter Mondrup Rasmussen, Lars Kai Hansen, Kristoffer Hougaard Madsen: Unified ICA-SPM Analysis of fMRI Experiments - Implementation of an ICA Graphical user Interface for the SPM Pipeline. BIOSIGNALS 2009: 316-321

Ingemar J. Cox, Ruoxun Fu, Lars Kai Hansen: Probably Approximately Correct Search. ICTIR 2009: 2-16

Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen: Bayesian Non-negative Matrix Factorization. ICA 2009: 540-547

Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen: Sofomore: Combined EEG Source and Forward Model Reconstruction. ISBI 2009: 450-453

Andreas Brinch Nielsen, Lars Kai Hansen: Structure learning by pruning in independent component analysis. Neurocomputing 71(10-12): 2281-2290 (2008)

Tülay Adali, Z. Jane Wang, Martin J. McKeown, Philippe Ciuciu, Lars Kai Hansen, Andrzej Cichocki, Vincent D. Calhoun: Introduction to the Issue on fMRI Analysis for Human Brain Mapping. J. Sel. Topics Signal Processing 2(6): 813-816 (2008)

Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard Madsen: Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics. Neural Computation 20(3): 738-755 (2008)

Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred: Algorithms for Sparse Nonnegative Tucker Decompositions. Neural Computation 20(8): 2112-2131 (2008)

Tim B. Dyrby, Egill Rostrup, William F. C. Baaré, Elisabeth C. W. van Straaten, Frederik Barkhof, Hugo Vrenken, Stefan Ropele, Reinhold Schmidt, Timo Erkinjuntti, Lars-Olof Wahlund, Leonardo Pantoni, Domenico Inzitari, Olaf B. Paulson, Lars Kai Hansen, Gunhild Waldemar: Segmentation of age-related white matter changes in a clinical multi-center study. NeuroImage 41(2): 335-345 (2008)

Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred, Lek-Heng Lim, Kristoffer Hougaard Madsen: Shift-invariant multilinear decomposition of neuroimaging data. NeuroImage 42(4): 1439-1450 (2008)

Thomas Beierholm, Albert H. Nuttall, Lars Kai Hansen: Use and Subtleties of Saddlepoint Approximation for Minimum Mean-Square Error Estimation. IEEE Transactions on Information Theory 54(12): 5778-5787 (2008)

Peter Mondrup Rasmussen, Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred: Model Order Estimation for Independent Component Analysis of Epoched EEG Signals. BIOSIGNALS (2) 2008: 3-10

Michael Kai Petersen, Lars Kai Hansen, Andrius Butkus: Semantic Contours in Tracks Based on Emotional Tags. CMMR 2008: 45-66

Jakob Eg Larsen, Søren Halling, Magnús Sigurðsson, Lars Kai Hansen: MuZeeker: Adapting a Music Search Engine for Mobile Phones. WMMP 2008: 154-169

Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen: Approximate L0 constrained non-negative matrix and tensor factorization. ISCAS 2008: 1328-1331

Ling Feng, Andreas Brinch Nielsen, Lars Kai Hansen: Vocal Segment Classification in Popular Music. ISMIR 2008: 121-126

Mads Dyrholm, Scott Makeig, Lars Kai Hansen: Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG. Neural Computation 19(4): 934-955 (2007)

Anders Meng, P. Ahrendt, Jan Larsen, Lars Kai Hansen: Temporal Feature Integration for Music Genre Classification. IEEE Transactions on Audio, Speech & Language Processing 15(5): 1654-1664 (2007)

Ana S. Lukic, Miles N. Wernick, Yongyi Yang, Lars Kai Hansen, Konstantinos Arfanakis, Stephen C. Strother: Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages. IEEE Trans. Med. Imaging 26(8): 1058-1068 (2007)

Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen: Shifted Independent Component Analysis. ICA 2007: 89-96

Bjarni Bödvarsson, Lars Kai Hansen, Claus Svarer, Gitte Moos Knudsen: NMF on Positron Emission Tomography. ICASSP (1) 2007: 309-312

Thomas Grotkjær, Ole Winther, Birgitte Regenberg, Jens Nielsen, Lars Kai Hansen: Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm. Bioinformatics 22(1): 58-67 (2006)

Rasmus Kongsgaard Olsson, Lars Kai Hansen: Linear State-Space Models for Blind Source Separation. Journal of Machine Learning Research 6: 2585-2602 (2006)

Mads Dyrholm, Scott Makeig, Lars Kai Hansen: Model Structure Selection in Convolutive Mixtures. ICA 2006: 74-81

Lars Kai Hansen, Ling Feng: Cogito Componentiter Ergo Sum. ICA 2006: 446-453

Thomas Bøvith, Allan Aasbjerg Nielsen, Lars Kai Hansen, Søren Overgaard, Rashpal S. Gill: Detecting Weather Radar Clutter by Information Fusion With Satellite Images and Numerical Weather Prediction Model Output. IGARSS 2006: 511-514

Daniel J. Jacobsen, Kristoffer Hougaard Madsen, Lars Kai Hansen: Identification of non-linear models of neural activity in BOLD fMRI. ISBI 2006: 952-955

Jerónimo Arenas-García, Jan Larsen, Lars Kai Hansen, Anders Meng: Optimal filtering of dynamics in short-time features for music organization. ISMIR 2006: 290-295

Tue Lehn-Schiøler, Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen: A Genre Classification Plug-in for Data Collection. ISMIR 2006: 320-321

Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen: Sparse Kernel Orthonormalized PLS for feature extraction in large data sets. NIPS 2006: 33-40

Kaare Brandt Petersen, Ole Winther, Lars Kai Hansen: On the Slow Convergence of EM and VBEM in Low-Noise Linear Models. Neural Computation 17(9): 1921-1926 (2005)

Ling Feng, Lars Kai Hansen: On Low-level Cognitive Components of Speech. CIMCA/IAWTIC 2005: 852-858

Finn Årup Nielsen, Lars Kai Hansen: Finding related functional neuroimaging volumes. Artificial Intelligence in Medicine 30(2): 141-151 (2004)

Finn Årup Nielsen, Lars Kai Hansen, Daniela Balslev: Mining for associations between text and brain activation in a functional neuroimaging database. Neuroinformatics 2(4): 369-379 (2004)

Sigurdur Sigurdsson, Peter Alshede Philipsen, Lars Kai Hansen, Jan Larsen, Monika Gniadecka, Hans-Christian Wulf: Detection of skin cancer by classification of Raman spectra. IEEE Trans. Biomed. Engineering 51(10): 1784-1793 (2004)

Mads Dyrholm, Lars Kai Hansen: CICAAR: Convolutive ICA with an Auto-regressive Inverse Model. ICA 2004: 594-601

Rasmus Kongsgaard Olsson, Lars Kai Hansen: Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC. ICA 2004: 618-625

Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen: Pruning The Vocabulary For Better Context Recognition. ICPR (2) 2004: 483-488

Tue Lehn-Schiøler, Lars Kai Hansen, Jan Larsen: Mapping from Speech to Images Using Continuous State Space Models. MLMI 2004: 136-145

Rasmus Kongsgaard Olsson, Lars Kai Hansen: A Harmonic Excitation State-Space Approach to Blind Separation of Speech. NIPS 2004

Lars Kai Hansen, Finn Årup Nielsen, Jan Larsen: Exploring fMRI data for periodic signal components. Artificial Intelligence in Medicine 25(1): 35-44 (2002)

Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen: Analysis of functional neuroimages using ICA with adaptive binary sources. Neurocomputing 49(1-4): 213-225 (2002)

Mads Nielsen, Lars Kai Hansen, Peter Johansen, Jon Sporring: Guest Editorial: Special Issue on Statistics of Shapes and Textures. Journal of Mathematical Imaging and Vision 17(2): 87 (2002)

Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen: Mean-Field Approaches to Independent Component Analysis. Neural Computation 14(4): 889-918 (2002)

Joaquin Quiñonero Candela, Lars Kai Hansen: Time series prediction based on the Relevance Vector Machine with adaptive kernels. ICASSP 2002: 985-988

Sigurdur Sigurdsson, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Hans-Christian Wulf: Outlier estimation and detection application to skin lesion classification. ICASSP 2002: 1049-1052

Ana S. Lukic, Lars Kai Hansen, Miles N. Wernick, Stephen C. Strother: An ICA algorithm for analyzing multiple data sets. ICIP (2) 2002: 821-824

Ana S. Lukic, Miles N. Wernick, Lars Kai Hansen, Jon R. Anderson, Stephen C. Strother: A spatially robust ICA algorithm for multiple fMRI data sets. ISBI 2002: 839-842

Cyril Goutte, Finn Årup Nielsen, Lars Kai Hansen: Modelling the Haemodynamic Response in fMRI with Smooth FIR Filters. IEEE Trans. Med. Imaging 19(12): 1188-1201 (2000)

Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen: Ensemble Learning and Linear Response Theory for ICA. NIPS 2000: 542-548

Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother: Generalizable Singular Value Decomposition for Ill-posed Datasets. NIPS 2000: 549-555

Ulrik Kjems, Stephen C. Strother, Jon R. Anderson, Ian Law, Lars Kai Hansen: Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm. IEEE Trans. Med. Imaging 18(4): 306-319 (1999)

Lars Kai Hansen: Bayesian Averaging is Well-Temperated. NIPS 1999: 265-271

Pedro A. d. F. R. Højen-Sørensen, Lars Kai Hansen, Carl Edward Rasmussen: Bayesian Modelling of fMRI lime Series. NIPS 1999: 754-760

Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen: Neural classifier construction using regularization, pruning and test error estimation. Neural Networks 11(9): 1659-1670 (1998)

Jens E. Wilhjelm, M.-L. M. Grønholdt, B. Wiebe, S. K. Jespersen, Lars Kai Hansen, H. Sillesen: Quantitative Analysis of Ultrasound B-mode images of Carotid Atherosclerotic Plaque: Correlation with Visual Classification and Histological Examination. IEEE Trans. Med. Imaging 17(6): 910-922 (1998)

Jan Gorodkin, Lars Kai Hansen, Benny Lautrup, Sara A. Solla: Universal Distribution of Saliencies for Pruning in Layered Neural Networks. Int. J. Neural Syst. 8(5-6): 489-498 (1997)

Cyril Goutte, Lars Kai Hansen: Regularization with a Pruning Prior. Neural Networks 10(6): 1053-1059 (1997)

Finn Årup Nielsen, Lars Kai Hansen: Interactive Information Visualization in Neuroimaging. Workshop on New Paradigms in Information Visualization and Manipulation 1997: 62-65

Niels Mørch, Lars Kai Hansen, Stephen C. Strother, Claus Svarer, David A. Rottenberg, Benny Lautrup, Robert L. Savoy, Olaf B. Paulson: Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover. IPMI 1997: 259-270

Lars Kai Hansen, Jan Larsen: Linear unlearning for cross-validation. Adv. Comput. Math. 5(1): 269-280 (1996)

Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen: Adaptive Regularization in Neural Network Modeling. Neural Networks: Tricks of the Trade 1996: 113-132

Morten With Pedersen, Lars Kai Hansen, Jan Larsen: Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS. NIPS 1995: 521-527

Lars Kai Hansen: Book Review: "Time Series Prediction: Forecasting the Future and Understanding the Past", Eds. Andreas S. Weigend and Neil A. Gershenfeld. Int. J. Neural Syst. 5(2): 157-158 (1994)

Lars Kai Hansen, Carl Edward Rasmussen: Pruning from Adaptive Regularization. Neural Computation 6(6): 1223-1232 (1994)

Morten With Pedersen, Lars Kai Hansen: Recurrent Networks: Second Order Properties and Pruning. NIPS 1994: 673-680

Peter Salamon, John C. Wootton, Andrzej K. Konopka, Lars Kai Hansen: On the Robustness of Maximum Entropy Relationships for Complexity Distributions of Nucleotide Sequences. Computers & Chemistry 17(2): 135-148 (1993)

Jan Gorodkin, Lars Kai Hansen, Anders Krogh, Claus Svarer, Ole Winther: A Quantitative Study Of Pruning By Optimal Brain Damage. Int. J. Neural Syst. 4(2): 159-169 (1993)

Lars Kai Hansen: Stochastic linear learning: Exact test and training error averages. Neural Networks 6(3): 393-396 (1993)

Lars Kai Hansen, Peter Salamon: Neural Network Ensembles. IEEE Trans. Pattern Anal. Mach. Intell. 12(10): 993-1001 (1990)