Marc M. Van Hulle

According to our database1, Marc M. Van Hulle authored at least 145 papers between 1989 and 2019.

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

Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to biomedical signal processing and biological modeling".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Fast Multiway Partial Least Squares Regression.
IEEE Trans. Biomed. Engineering, 2019

2018
Accurate Decoding of Short, Phase-Encoded SSVEPs.
Sensors, 2018

Representation of steady-state visual evoked potentials elicited by luminance flicker in human occipital cortex: An electrocorticography study.
NeuroImage, 2018

Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials.
J. Cognitive Neuroscience, 2018

Decoding Steady-State Visual Evoked Potentials From Electrocorticography.
Front. Neuroinform., 2018

Mutual Information-Based Electrode Selection Extended With Prior Knowledge For Use in Brain-Computer Interfacing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Product sizing with 3D anthropometry and k-medoids clustering.
Computer-Aided Design, 2017

Typicality effect on N400 ERP in categories despite differences in semantic processing.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

How does the brain process mild versus strong violations in music? A pilot study using event-related potentials.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Fast algorithm for multiway regression.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016
Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer.
IEEE Trans. Biomed. Engineering, 2016

Simple-iteration method with alternating step size for solving operator equations in Hilbert space.
J. Computational Applied Mathematics, 2016

Faster P300 Classifier Training Using Spatiotemporal Beamforming.
Int. J. Neural Syst., 2016

Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach.
Int. J. Neural Syst., 2016

Hierarchical online SSVEP spelling achieved with spatiotemporal beamforming.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Fully Bayesian tensor-based regression.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2014
Language Model Applications to Spelling with Brain-Computer Interfaces.
Sensors, 2014

Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device.
IEEE Trans. Comput. Intellig. and AI in Games, 2013

Inter-document reference detection as an alternative to full text semantic analysis in document clustering.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

2012
Self-organizing Maps.
Proceedings of the Handbook of Natural Computing, 2012

A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features.
IEEE Trans. Computers, 2012

Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface.
Neurocomputing, 2012

Head-Centric Disparity and Epipolar Geometry Estimation from a Population of Binocular Energy Neurons.
Int. J. Neural Syst., 2012

Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface.
Int. J. Neural Syst., 2012

Enhancing the Yield of High-Density electrode Arrays through Automated electrode Selection.
Int. J. Neural Syst., 2012

Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Decoding SSVEP Responses based on Parafac Decomposition.
Proceedings of the BIOSIGNALS 2012, 2012

2011
Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database.
IEEE Trans. Vehicular Technology, 2011

An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals.
IEEE Trans. Neural Networks, 2011

The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car.
IEEE Trans. Intelligent Transportation Systems, 2011

Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals.
Sensors, 2011

The complex local mean decomposition.
Neurocomputing, 2011

A clustering study of a 7000 EU document inventory using MDS and SOM.
Expert Syst. Appl., 2011

Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions.
Entropy, 2011

Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects.
Comp. Int. and Neurosc., 2011

Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence.
Appl. Soft Comput., 2011

Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Decoding phase-based information from SSVEP recordings: A comparative study.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Brain-computer interface research at Katholieke Universiteit Leuven.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

Steady State Visual Evoked Potential Based Computer Gaming - The Maze.
Proceedings of the Intelligent Technologies for Interactive Entertainment, 2011

Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Subject-adaptive steady-state visual evoked potential detection for brain-computer interface.
Proceedings of the IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2011

Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled Subjects.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex.
IEEE Trans. Neural Networks, 2010

A two-level real-time vision machine combining coarse- and fine-grained parallelism.
J. Real-Time Image Processing, 2010

Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4.
Int. J. Neural Syst., 2010

Learning Eye Vergence Control from a Distributed Disparity Representation.
Int. J. Neural Syst., 2010

Increasing and Decreasing Returns and Losses in Mutual Information Feature Subset Selection.
Entropy, 2010

A compact harmonic code for early vision based on anisotropic frequency channels.
Computer Vision and Image Understanding, 2010

A Three-level Architecture for Model-free Detection and Tracking of Independently Moving Objects.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Decoding SSVEP Responses using Time Domain Classification.
Proceedings of the ICFC-ICNC 2010, 2010

Toward Automated Electrode Selection in the Electronic Depth Control Strategy for Multi-unit Recordings.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Combining ESOMs Trained on a Hierarchy of Feature Subsets for Single-Trial Decoding of LFP Responses in Monkey Area V4.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

2009
A Connectivity-Based Method for Defining Regions-of-Interest in fMRI Data.
IEEE Trans. Image Processing, 2009

Optic flow from unstable sequences through local velocity constancy maximization.
Image Vision Comput., 2009

Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals.
IJWMIP, 2009

Gaining insight in domestic violence with Emergent Self Organizing Maps.
Expert Syst. Appl., 2009

Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks.
Artificial Intelligence in Medicine, 2009

Analyzing Domestic Violence with Topographic Maps: A Comparative Study.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Road Interpretation for Driver Assistance based on an Early Cognitive Vision System.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling.
Proceedings of the International Conference on Machine Learning and Applications, 2009

How Emergent Self Organizing Maps Can Help Counter Domestic Violence.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
Kernel-Based Topographic Maps: Theory and Applications.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Sequential Fixed-Point ICA Based on Mutual Information Minimization.
Neural Computation, 2008

Constrained Subspace ICA Based on Mutual Information Optimization Directly.
Neural Computation, 2008

Machine Learning for Signal Processing.
Neurocomputing, 2008

Realtime phase-based optical flow on the GPU.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Fixation as a Mechanism for Stabilization of Short Image Sequences.
International Journal of Computer Vision, 2007

Editorial: ECOVISION: Challenges in Early-Cognitive Vision.
International Journal of Computer Vision, 2007

Compact (and accurate) early vision processing in the harmonic space.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Information Theoretic Derivations for Causality Detection: Application to Human Gait.
Proceedings of the Artificial Neural Networks, 2007

Causality analysis of LFPs in micro-electrode arrays based on mutual information.
Proceedings of the ESANN 2007, 2007

Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Batch map extensions of the kernel-based maximum entropy learning rule.
IEEE Trans. Neural Networks, 2006

Topographic map formation of factorized Edgeworth-expanded kernels.
Neural Networks, 2006

Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures.
Neural Computation, 2006

Optimal instantaneous rigid motion estimation insensitive to local minima.
Computer Vision and Image Understanding, 2006

Onset Detection through Maximal Redundancy Detection.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis.
Proceedings of the Artificial Neural Networks, 2006

Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization.
Proceedings of the British Machine Vision Conference 2006, 2006

2005
Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood.
Signal Processing, 2005

Estimating the global order of the fMRI noise model.
NeuroImage, 2005

Edgeworth Approximation of Multivariate Differential Entropy.
Neural Computation, 2005

Edgeworth-Expanded Gaussian Mixture Density Modeling.
Neural Computation, 2005

Maximum Likelihood Topographic Map Formation.
Neural Computation, 2005

Neural Networks in Signal Processing.
Neurocomputing, 2005

On nonlinear modular neural filters.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Robust Instantaneous Rigid Motion Estimation.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Guest Editorial for Special Issue on Machine Learning for Signal Processing.
VLSI Signal Processing, 2004

Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes.
VLSI Signal Processing, 2004

Entropy-based kernel mixture modeling for topographic map formation.
IEEE Trans. Neural Networks, 2004

A novel method for determining the nature of time series.
IEEE Trans. Biomed. Engineering, 2004

Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing.
Natural Computing, 2004

A non-parametric test for detecting the complex-valued nature of time series.
KES Journal, 2004

Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation.
Proceedings of the International Conference on Computational Intelligence, 2004

Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a real-case Application.
Proceedings of the International Conference on Computational Intelligence, 2004

2003
Signal Nonlinearity in fMRI: A Comparison between BOLD and MION.
IEEE Trans. Med. Imaging, 2003

Monitoring elasticity between science and technology domains and its visualization.
Scientometrics, 2003

Surrogate-based test for Granger causality.
Proceedings of the NNSP 2003, 2003

A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

A differential entropy based method for determining the optimal embedding parameters of a signal.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Guest Editors' Introduction.
VLSI Signal Processing, 2002

Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals.
VLSI Signal Processing, 2002

Blind Source Separation and Equiprobabilistic Topographic Maps.
VLSI Signal Processing, 2002

A phase-based approach to the estimation of the optical flow field using spatial filtering.
IEEE Trans. Neural Networks, 2002

Kernel-based topographic map formation achieved with an information-theoretic approach.
Neural Networks, 2002

Joint Entropy Maximization in Kernel-Based Topographic Maps.
Neural Computation, 2002

Kernel-Based Topographic Map Formation by Local Density Modeling.
Neural Computation, 2002

Neural network implementations of independent component analysis.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Kernel-based topographic map formation achieved with normalized Gaussian competition.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Functional connectivity modelling in fMRI based on causal networks.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

2001
Towards an information-theoretic approach to kernel-based topographic map formation.
Proceedings of the Advances in Self-Organising Maps, 2001

2000
Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps.
VLSI Signal Processing, 2000

Guest Editors' Introduction.
VLSI Signal Processing, 2000

1999
Density-based clustering with topographic maps.
IEEE Trans. Neural Networks, 1999

Self-Organized Feature Extraction Achieved with a Parameterized Filterbank.
Neural Processing Letters, 1999

Faithful representations with topographic maps.
Neural Networks, 1999

1998
Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image Processing.
VLSI Signal Processing, 1998

The Softmap Algorithm.
Neural Processing Letters, 1998

Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion.
Neural Computation, 1998

Kernel-Based Equiprobable Topographic Map Formation.
Neural Computation, 1998

1997
Nonparametric regression analysis achieved with topographic maps developed in combination with projection pursuit learning: an application to density estimation and adaptive filtering of grey-scale images.
IEEE Trans. Signal Processing, 1997

Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule.
Neural Networks, 1997

The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals.
Neural Computation, 1997

Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs.
Biological Cybernetics, 1997

1996
Topographic map formation by maximizing unconditional entropy: a plausible strategy for "online" unsupervised competitive learning and nonparametric density estimation.
IEEE Trans. Neural Networks, 1996

Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis.
Neural Processing Letters, 1996

1995
Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization.
Neural Networks, 1995

Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancelling.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
On a novel unsupervised competitive learning algorithm for scalar quantization.
IEEE Trans. Neural Networks, 1994

Massive MIMD neural network simulations: The connections dilemma.
Concurrency - Practice and Experience, 1994

1993
A modular artificial neural network for texture processing.
Neural Networks, 1993

On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle.
Neural Computation, 1993

An unsupervised learning rule for vector normalization and gain control.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Parallel Implementation and Capabilities of Entropy-Driven Artifical Neural Networks.
J. Parallel Distrib. Comput., 1992

1991
Representation and processing in a stochastic neural network: An integrated approach.
Neural Networks, 1991

A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem.
Int. J. Neural Syst., 1991

A goal programming network for linear programming.
Biological Cybernetics, 1991

1989
Entropy Driven Artificial Neuronal Networks and Sensorial Representation: A Proposal.
J. Parallel Distrib. Comput., 1989


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