Lars Kai Hansen

Orcid: 0000-0003-0442-5877

Affiliations:
  • Technical University of Denmark, Department of Applied Mathematics and Computer Science


According to our database1, Lars Kai Hansen authored at least 236 papers between 1990 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Using sequences of life-events to predict human lives.
Nat. Comput. Sci., 2024

Danoliteracy of Generative, Large Language Models.
CoRR, 2024

BiSSL: Bilevel Optimization for Self-Supervised Pre-Training and Fine-Tuning.
CoRR, 2024

How Redundant Is the Transformer Stack in Speech Representation Models?
CoRR, 2024

Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks.
CoRR, 2024

Challenges in explaining deep learning models for data with biological variation.
CoRR, 2024

Knowledge Graphs for Empirical Concept Retrieval.
Proceedings of the Explainable Artificial Intelligence, 2024

Hubness Reduction Improves Sentence-BERT Semantic Spaces.
Proceedings of the Northern Lights Deep Learning Conference, 2024

Speed: Scalable Preprocessing of EEG Data for Self-Supervised Learning.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Convexity Based Pruning of Speech Representation Models.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners.
CoRR, 2023

On convex conceptual regions in deep network representations.
CoRR, 2023

Robustness of Visual Explanations to Common Data Augmentation.
CoRR, 2023

On the role of Model Uncertainties in Bayesian Optimization.
CoRR, 2023

Automatic proficiency scoring for early-stage writing.
Comput. Educ. Artif. Intell., 2023

On the role of model uncertainties in Bayesian optimisation.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Concept-Based Explainability for an EEG Transformer Model.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Robustness of Visual Explanations to Common Data Augmentation Methods.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Modulation transfer functions for audiovisual speech.
PLoS Comput. Biol., 2022

2021
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback.
Neural Comput., 2021

Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts.
CoRR, 2021

Generalization by design: Shortcuts to Generalization in Deep Learning.
CoRR, 2021

Spontaneous Symmetry Breaking in Data Visualization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

On the Limits to Multi-modal Popularity Prediction on Instagram: A New Robust, Efficient and Explainable Baseline.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
What can we learn from gradients?
CoRR, 2020

A simple defense against adversarial attacks on heatmap explanations.
CoRR, 2020

Client Adaptation improves Federated Learning with Simulated Non-IID Clients.
CoRR, 2020

IROF: a low resource evaluation metric for explanation methods.
CoRR, 2020

Towards Federated Learning: Robustness Analytics to Data Heterogeneity.
CoRR, 2020

Robustness analytics to data heterogeneity in edge computing.
Comput. Commun., 2020

The Complexity of Social Media Response: Statistical Evidence for One-dimensional Engagement Signal in Twitter.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019
Interpretability in Intelligent Systems - A New Concept?
Proceedings of the Explainable AI: Interpreting, 2019

Active Learning Solution on Distributed Edge Computing.
CoRR, 2019

Probabilistic Decoupling of Labels in Classification.
CoRR, 2019

Aggregating explainability methods for neural networks stabilizes explanations.
CoRR, 2019

Single-Trial Decoding of Scalp EEG under Natural Conditions.
Comput. Intell. Neurosci., 2019

Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition.
Comput. Intell. Neurosci., 2019

Combining embedding methods for a word intrusion task.
Proceedings of the 15th Conference on Natural Language Processing, 2019

Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
Proceedings of the 36th International Conference on Machine Learning, 2019

Distributed Active Learning Strategies on Edge Computing.
Proceedings of the 6th IEEE International Conference on Cyber Security and Cloud Computing, 2019

2018
The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails.
Proc. IEEE, 2018

Sequence Classification Using Third-Order Moments.
Neural Comput., 2018

A Differential Privacy Workflow for Inference of Parameters in the Rasch Model.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Latent Space Oddity: on the Curvature of Deep Generative Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Inferring Visual Semantic Similarity with Deep Learning and Wikidata: Introducing <i>imagesim-353*</i>.
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), 2018

Bayesian Structure Learning for Dynamic Brain Connectivity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior.
NeuroImage, 2017

Bayesian Inference for Spatio-temporal Spike-and-Slab Priors.
J. Mach. Learn. Res., 2017

Adaptive smoothing in fMRI data processing neural networks.
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

EEG source imaging assists decoding in a face recognition task.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Maximum Likelihood Estimation of Riemannian Metrics from Euclidean Data.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

2016
The Center for Integrated Molecular Brain Imaging (Cimbi) database.
NeuroImage, 2016

Data-driven forward model inference for EEG brain imaging.
NeuroImage, 2016

Towards end-to-end optimisation of functional image analysis pipelines.
CoRR, 2016

Measuring engagement in a classroom: Synchronised neural recordings during a video presentation.
CoRR, 2016

A Locally Adaptive Normal Distribution.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Multimodal Data Fusion [Scanning the Issue].
Proc. IEEE, 2015

Multiview Bayesian Correlated Component Analysis.
Neural Comput., 2015

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Testing Multimodal Integration Hypotheses with Application to Schizophrenia Data.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

EEG source reconstruction performance as a function of skull conductance contrast.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Denoising by semi-supervised kernel PCA preimaging.
Pattern Recognit. Lett., 2014

Frontal alpha oscillations distinguish leaders from followers: Multivariate decoding of mutually interacting brains.
NeuroImage, 2014

Non-parametric Bayesian graph models reveal community structure in resting state fMRI.
NeuroImage, 2014

A regularized matrix factorization approach to induce structured sparse-low-rank solutions in the EEG inverse problem.
EURASIP J. Adv. Signal Process., 2014

A Topic Model Approach to Multi-Modal Similarity.
CoRR, 2014

Privacy for Personal Neuroinformatics.
CoRR, 2014

Bayesian correlated component analysis for inference of joint EEG activation.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

EEG source reconstruction using sparse basis function representations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Bayesian Inference for Structured Spike and Slab Priors.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Compact web browsing profiles for click-through rate prediction.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Fast sampling from a Hidden Markov Model posterior for large data.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Preface.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods.
IEEE Signal Process. Mag., 2013

Variance inflation in high dimensional Support Vector Machines.
Pattern Recognit. Lett., 2013

FindZebra: A search engine for rare diseases.
Int. J. Medical Informatics, 2013

The Smartphone Brain Scanner: A Mobile Real-time Neuroimaging System
CoRR, 2013

Dimensionality reduction for click-through rate prediction: Dense versus sparse representation.
CoRR, 2013

Expansion of the Variational Garrote to a Multiple Measurement Vectors Model.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

Sparse Source EEG Imaging with the Variational Garrote.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Spatio temporal media components for neurofeedback.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Towards a universal representation for audio information retrieval and analysis.
Proceedings of the IEEE International Conference on Acoustics, 2013

Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

2012
Adaptive Regularization in Neural Network Modeling.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Model Selection for Gaussian Kernel PCA Denoising.
IEEE Trans. Neural Networks Learn. Syst., 2012

Model sparsity and brain pattern interpretation of classification models in neuroimaging.
Pattern Recognit., 2012

Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation.
NeuroImage, 2012

Archetypal analysis for machine learning and data mining.
Neurocomputing, 2012

Modelling dense relational data.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Identifying modular relations in complex brain networks.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Cognitive semantic networks: Emotional verbs throw a tantrum but don't bite.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Structured sparsity regularization approach to the EEG inverse problem.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Detecting hierarchical structure in networks.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Attention: A machine learning perspective.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

A Hold-out method to correct PCA variance inflation.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps.
Proceedings of the BIOSIGNALS 2012, 2012

2011
Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach.
J. Signal Process. Syst., 2011

Regularized Pre-image Estimation for Kernel PCA De-noising - Input Space Regularization and Sparse Reconstruction.
J. Signal Process. Syst., 2011

Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI.
Pattern Recognit. Lett., 2011

Visualization of nonlinear kernel models in neuroimaging by sensitivity maps.
NeuroImage, 2011

A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis.
J. Mach. Learn. Res., 2011

Good Friends, Bad News - Affect and Virality in Twitter
CoRR, 2011

Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Large scale topic modeling made practical.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Infinite multiple membership relational modeling for complex networks.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Top-down attentionwith features missing at random.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Non-parametric co-clustering of large scale sparse bipartite networks on the GPU.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

A randomized heuristic for kernel parameter selection with large-scale multi-class data.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

How efficient is estimation with missing data?
Proceedings of the IEEE International Conference on Acoustics, 2011

Emotional nodes among lines of lyrics.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

What to measure next to improve decision making? On top-down task driven feature saliency.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

Modeling latency and shape changes in trial based neuroimaging data.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Frequency constrained ShiftCP modeling of neuroimaging data.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

A Smartphone Interface for a Wireless EEG Headset with Real-Time 3D Reconstruction.
Proceedings of the Affective Computing and Intelligent Interaction, 2011

Smartphones Get Emotional: Mind Reading Images and Reconstructing the Neural Sources.
Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010
Semi-Supervised Kernel PCA
CoRR, 2010

Infinite Relational Modeling of Functional Connectivity in Resting State fMRI.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Sparse Spatio-temporal Inference of Electromagnetic Brain Sources.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Improving Query Correctness Using Centralized Probably Approximately Correct (PAC) Search.
Proceedings of the Advances in Information Retrieval, 2010

Latent semantics as cognitive components.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Sofomore: Combined EEG Source and Forward Model Reconstruction.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Bayesian Non-negative Matrix Factorization.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Probably Approximately Correct Search.
Proceedings of the Advances in Information Retrieval Theory, 2009

Tuning pruning in sparse non-negative matrix factorization.
Proceedings of the 17th European Signal Processing Conference, 2009

BredeQuery: Coordinate-Based Meta-analytic Search of Neuroscientific Literature from the SPM Environment.
Proceedings of the Biomedical Engineering Systems and Technologies, 2009

Coordinate-based Meta-analytic search for the SPM Neuroimaging Pipeline - The BredeQuery Plugin for SPM5.
Proceedings of the Second International Conference on Health Informatics, 2009

Unified ICA-SPM Analysis of fMRI Experiments - Implementation of an ICA Graphical user Interface for the SPM Pipeline.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Use and Subtleties of Saddlepoint Approximation for Minimum Mean-Square Error Estimation.
IEEE Trans. Inf. Theory, 2008

Shift-invariant multilinear decomposition of neuroimaging data.
NeuroImage, 2008

Segmentation of age-related white matter changes in a clinical multi-center study.
NeuroImage, 2008

Algorithms for Sparse Nonnegative Tucker Decompositions.
Neural Comput., 2008

Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics.
Neural Comput., 2008

Introduction to the Issue on fMRI Analysis for Human Brain Mapping.
IEEE J. Sel. Top. Signal Process., 2008

Structure learning by pruning in independent component analysis.
Neurocomputing, 2008

Theorems on Positive Data: On the Uniqueness of NMF.
Comput. Intell. Neurosci., 2008

Vocal Segment Classification in Popular Music.
Proceedings of the ISMIR 2008, 2008

Approximate L0 constrained non-negative matrix and tensor factorization.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

MuZeeker: Adapting a Music Search Engine for Mobile Phones.
Proceedings of the Mobile Multimedia Processing: Fundamentals, 2008

Semantic Contours in Tracks Based on Emotional Tags.
Proceedings of the Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music, 2008

Model Order Estimation for Independent Component Analysis of Epoched EEG Signals.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages.
IEEE Trans. Medical Imaging, 2007

Temporal Feature Integration for Music Genre Classification.
IEEE Trans. Speech Audio Process., 2007

Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG.
Neural Comput., 2007

On the Relevance of Spectral Features for Instrument Classification.
Proceedings of the IEEE International Conference on Acoustics, 2007

Castsearch - Context Based Spoken Document Retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2007

On Affine Non-Negative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2007

NMF on Positron Emission Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2007

Shifted Independent Component Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Learning and clean-up in a large scale music database.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG.
NeuroImage, 2006

Linear State-Space Models for Blind Source Separation.
J. Mach. Learn. Res., 2006

Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
Bioinform., 2006

Sparse Kernel Orthonormalized PLS for feature extraction in large data sets.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Genre Classification Plug-in for Data Collection.
Proceedings of the ISMIR 2006, 2006

Optimal filtering of dynamics in short-time features for music organization.
Proceedings of the ISMIR 2006, 2006

Identification of non-linear models of neural activity in BOLD fMRI.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Detecting Weather Radar Clutter by Information Fusion With Satellite Images and Numerical Weather Prediction Model Output.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Blind Separation of More Sources than Sensors in Convolutive Mixtures.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Pitch Based Sound Classification.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Phonemes as Short Time Cognitive Components.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Cogito Componentiter Ergo Sum.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Model Structure Selection in Convolutive Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Unsupervised speaker change detection for broadcast news segmentation.
Proceedings of the 14th European Signal Processing Conference, 2006

Adaptive regularization of noisy linear inverse problems.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Mining the posterior cingulate: Segregation between memory and pain components.
NeuroImage, 2005

On the Slow Convergence of EM and VBEM in Low-Noise Linear Models.
Neural Comput., 2005

On Low-level Cognitive Components of Speech.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Detection of skin cancer by classification of Raman spectra.
IEEE Trans. Biomed. Eng., 2004

Mining for associations between text and brain activation in a functional neuroimaging database.
Neuroinformatics, 2004

Finding related functional neuroimaging volumes.
Artif. Intell. Medicine, 2004

A Harmonic Excitation State-Space Approach to Blind Separation of Speech.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Mapping from Speech to Images Using Continuous State Space Models.
Proceedings of the Machine Learning for Multimodal Interaction, 2004

Pruning The Vocabulary For Better Context Recognition.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Semi-blind source separation using head-related transfer functions [speech signal separation].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

CICAAR: Convolutive ICA with an Auto-regressive Inverse Model.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Probabilistic blind deconvolution of non-stationary sources.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
The Evaluation of Preprocessing Choices in Single-Subject BOLD fMRI Using NPAIRS Performance Metrics.
NeuroImage, 2003

A prediction matrix approach to convolutive ICA.
Proceedings of the NNSP 2003, 2003

2002
The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework.
NeuroImage, 2002

The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves.
NeuroImage, 2002

Mean-Field Approaches to Independent Component Analysis.
Neural Comput., 2002

Guest Editorial: Special Issue on Statistics of Shapes and Textures.
J. Math. Imaging Vis., 2002

Analysis of functional neuroimages using ICA with adaptive binary sources.
Neurocomputing, 2002

Exploring fMRI data for periodic signal components.
Artif. Intell. Medicine, 2002

Clustering of Sun exposure measurements.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Independent component analysis for understanding multimedia content.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A spatially robust ICA algorithm for multiple fMRI data sets.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

An ICA algorithm for analyzing multiple data sets.
Proceedings of the 2002 International Conference on Image Processing, 2002

Outlier estimation and detection application to skin lesion classification.
Proceedings of the IEEE International Conference on Acoustics, 2002

Time series prediction based on the Relevance Vector Machine with adaptive kernels.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Blind detection of independent dynamic components.
Proceedings of the IEEE International Conference on Acoustics, 2001

Dynamic components of linear stable mixtures from fractional low order moments.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Modelling the Haemodynamic Response in fMRI with Smooth FIR Filters.
IEEE Trans. Medical Imaging, 2000

Generalizable Singular Value Decomposition for Ill-posed Datasets.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Ensemble Learning and Linear Response Theory for ICA.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Modeling text with generalizable Gaussian mixtures.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm.
IEEE Trans. Medical Imaging, 1999

Bayesian Modelling of fMRI lime Series.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Bayesian Averaging is Well-Temperated.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Sonar discrimination of cylinders from different angles using neural networks.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Quantitative Analysis of Ultrasound B-mode images of Carotid Atherosclerotic Plaque: Correlation with Visual Classification and Histological Examination.
IEEE Trans. Medical Imaging, 1998

Neural classifier construction using regularization, pruning and test error estimation.
Neural Networks, 1998

Design of robust neural network classifiers.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Generalization: The Hidden Agenda of Learning.
IEEE Signal Process. Mag., 1997

Regularization with a Pruning Prior.
Neural Networks, 1997

Universal Distribution of Saliencies for Pruning in Layered Neural Networks.
Int. J. Neural Syst., 1997

Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover.
Proceedings of the Information Processing in Medical Imaging, 1997

Early stop criterion from the bootstrap ensemble.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Interactive Information Visualization in Neuroimaging.
Proceedings of the Workshop on New Paradigms in Information Visualization and Manipulation, 1997

1996
Linear unlearning for cross-validation.
Adv. Comput. Math., 1996

Adaptive Regularization in Neural Network Modeling.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Unsupervised learning and generalization.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Revisiting Boltzmann learning: parameter estimation in Markov random fields.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Visualization of neural networks using saliency maps.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Training and evaluation of neural networks for multi-variate time series processing.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
Pruning from Adaptive Regularization.
Neural Comput., 1994

Book Review: "Time Series Prediction: Forecasting the Future and Understanding the Past", Eds. Andreas S. Weigend and Neil A. Gershenfeld.
Int. J. Neural Syst., 1994

Recurrent Networks: Second Order Properties and Pruning.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Stochastic linear learning: Exact test and training error averages.
Neural Networks, 1993

A Quantitative Study Of Pruning By Optimal Brain Damage.
Int. J. Neural Syst., 1993

On the Robustness of Maximum Entropy Relationships for Complexity Distributions of Nucleotide Sequences.
Comput. Chem., 1993

On design and evaluation of tapped-delay neural network architectures.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1990
Neural Network Ensembles.
IEEE Trans. Pattern Anal. Mach. Intell., 1990


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