| 2009 |
|---|
| 53 | EE | Mikkel N. Schmidt,
Ole Winther,
Lars Kai Hansen:
Bayesian Non-negative Matrix Factorization.
ICA 2009: 540-547 |
| 2008 |
|---|
| 52 | | Peter Mondrup Rasmussen,
Morten Mørup,
Lars Kai Hansen,
Sidse M. Arnfred:
Model Order Estimation for Independent Component Analysis of Epoched EEG Signals.
BIOSIGNALS (2) 2008: 3-10 |
| 51 | EE | Morten Mørup,
Kristoffer Hougaard Madsen,
Lars Kai Hansen:
Approximate L0 constrained non-negative matrix and tensor factorization.
ISCAS 2008: 1328-1331 |
| 50 | EE | 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) |
| 49 | EE | Daniel J. Jacobsen,
Lars Kai Hansen,
Kristoffer Hougaard Madsen:
Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics.
Neural Computation 20(3): 738-755 (2008) |
| 48 | EE | Morten Mørup,
Lars Kai Hansen,
Sidse M. Arnfred:
Algorithms for Sparse Nonnegative Tucker Decompositions.
Neural Computation 20(8): 2112-2131 (2008) |
| 47 | EE | Andreas Brinch Nielsen,
Lars Kai Hansen:
Structure learning by pruning in independent component analysis.
Neurocomputing 71(10-12): 2281-2290 (2008) |
| 2007 |
|---|
| 46 | EE | Morten Mørup,
Kristoffer Hougaard Madsen,
Lars Kai Hansen:
Shifted Independent Component Analysis.
ICA 2007: 89-96 |
| 45 | EE | 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) |
| 44 | EE | 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) |
| 43 | EE | 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) |
| 2006 |
|---|
| 42 | EE | Lars Kai Hansen,
Ling Feng:
Cogito Componentiter Ergo Sum.
ICA 2006: 446-453 |
| 41 | EE | Mads Dyrholm,
Scott Makeig,
Lars Kai Hansen:
Model Structure Selection in Convolutive Mixtures.
ICA 2006: 74-81 |
| 40 | EE | Daniel J. Jacobsen,
Kristoffer Hougaard Madsen,
Lars Kai Hansen:
Identification of non-linear models of neural activity in BOLD fMRI.
ISBI 2006: 952-955 |
| 39 | | 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 |
| 38 | | Tue Lehn-Schiøler,
Jerónimo Arenas-García,
Kaare Brandt Petersen,
Lars Kai Hansen:
A Genre Classification Plug-in for Data Collection.
ISMIR 2006: 320-321 |
| 37 | EE | Jerónimo Arenas-García,
Kaare Brandt Petersen,
Lars Kai Hansen:
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets.
NIPS 2006: 33-40 |
| 36 | EE | 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) |
| 35 | EE | Rasmus Kongsgaard Olsson,
Lars Kai Hansen:
Linear State-Space Models for Blind Source Separation.
Journal of Machine Learning Research 6: 2585-2602 (2006) |
| 2005 |
|---|
| 34 | | Ling Feng,
Lars Kai Hansen:
On Low-level Cognitive Components of Speech.
CIMCA/IAWTIC 2005: 852-858 |
| 33 | EE | 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) |
| 2004 |
|---|
| 32 | EE | Mads Dyrholm,
Lars Kai Hansen:
CICAAR: Convolutive ICA with an Auto-regressive Inverse Model.
ICA 2004: 594-601 |
| 31 | EE | Rasmus Kongsgaard Olsson,
Lars Kai Hansen:
Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC.
ICA 2004: 618-625 |
| 30 | EE | Rasmus Elsborg Madsen,
Sigurdur Sigurdsson,
Lars Kai Hansen,
Jan Larsen:
Pruning The Vocabulary For Better Context Recognition.
ICPR (2) 2004: 483-488 |
| 29 | EE | Tue Lehn-Schiøler,
Lars Kai Hansen,
Jan Larsen:
Mapping from Speech to Images Using Continuous State Space Models.
MLMI 2004: 136-145 |
| 28 | EE | Rasmus Kongsgaard Olsson,
Lars Kai Hansen:
A Harmonic Excitation State-Space Approach to Blind Separation of Speech.
NIPS 2004 |
| 27 | EE | Finn Årup Nielsen,
Lars Kai Hansen:
Finding related functional neuroimaging volumes.
Artificial Intelligence in Medicine 30(2): 141-151 (2004) |
| 2002 |
|---|
| 26 | | 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 |
| 25 | EE | Ana S. Lukic,
Miles N. Wernick,
Lars Kai Hansen,
Jon Anderson,
Stephen C. Strother:
A spatially robust ICA algorithm for multiple fMRI data sets.
ISBI 2002: 839-842 |
| 24 | | Lars Kai Hansen,
Finn Årup Nielsen,
Jan Larsen:
Exploring fMRI data for periodic signal components.
Artificial Intelligence in Medicine 25(1): 35-44 (2002) |
| 23 | EE | 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) |
| 22 | EE | 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) |
| 2000 |
|---|
| 21 | | Pedro A. d. F. R. Højen-Sørensen,
Ole Winther,
Lars Kai Hansen:
Ensemble Learning and Linear Response Theory for ICA.
NIPS 2000: 542-548 |
| 20 | | Ulrik Kjems,
Lars Kai Hansen,
Stephen C. Strother:
Generalizable Singular Value Decomposition for Ill-posed Datasets.
NIPS 2000: 549-555 |
| 19 | | 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) |
| 1999 |
|---|
| 18 | EE | Lars Kai Hansen:
Bayesian Averaging is Well-Temperated.
NIPS 1999: 265-271 |
| 17 | EE | Pedro A. d. F. R. Højen-Sørensen,
Lars Kai Hansen,
Carl Edward Rasmussen:
Bayesian Modelling of fMRI lime Series.
NIPS 1999: 754-760 |
| 16 | | Ulrik Kjems,
Stephen C. Strother,
Jon 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) |
| 1998 |
|---|
| 15 | | 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) |
| 14 | EE | 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) |
| 1997 |
|---|
| 13 | | 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 |
| 12 | EE | Finn Årup Nielsen,
Lars Kai Hansen:
Interactive Information Visualization in Neuroimaging.
Workshop on New Paradigms in Information Visualization and Manipulation 1997: 62-65 |
| 11 | EE | 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) |
| 10 | EE | Cyril Goutte,
Lars Kai Hansen:
Regularization with a Pruning Prior.
Neural Networks 10(6): 1053-1059 (1997) |
| 1996 |
|---|
| 9 | EE | 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 |
| 8 | EE | Lars Kai Hansen,
Jan Larsen:
Linear unlearning for cross-validation.
Adv. Comput. Math. 5(1): 269-280 (1996) |
| 1995 |
|---|
| 7 | EE | Morten With Pedersen,
Lars Kai Hansen,
Jan Larsen:
Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS.
NIPS 1995: 521-527 |
| 1994 |
|---|
| 6 | EE | Morten With Pedersen,
Lars Kai Hansen:
Recurrent Networks: Second Order Properties and Pruning.
NIPS 1994: 673-680 |
| 5 | EE | 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) |
| 1993 |
|---|
| 4 | EE | 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) |
| 3 | EE | 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) |
| 2 | EE | Lars Kai Hansen:
Stochastic linear learning: Exact test and training error averages.
Neural Networks 6(3): 393-396 (1993) |
| 1990 |
|---|
| 1 | EE | Lars Kai Hansen,
Peter Salamon:
Neural Network Ensembles.
IEEE Trans. Pattern Anal. Mach. Intell. 12(10): 993-1001 (1990) |
