Marc M. Van Hulle
Orcid: 0000-0003-1060-7044
According to our database1,
Marc M. Van Hulle
authored at least 165 papers
between 1989 and 2023.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2014, "For contributions to biomedical signal processing and biological modeling".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks.
Inf. Sci., April, 2023
Sensors, February, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Phase-Spatial Beamforming Renders a Visual Brain Computer Interface Capable of Exploiting EEG Electrode Phase Shifts in Motion-Onset Target Responses.
IEEE Trans. Biomed. Eng., 2022
Alternating step size method for solving ill-posed linear operator equations in energetic space.
J. Comput. Appl. Math., 2022
Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition.
Eng. Appl. Artif. Intell., 2022
2021
Accurate Offline Asynchronous Detection of Individual Finger Movement From Intracranial Brain Signals Using a Novel Multiway Approach.
IEEE Trans. Biomed. Eng., 2021
Effect of stimulus direction on motion-onset visual evoked potentials decoded using spatiotemporal beamforming Abstract.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
2020
Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance.
IEEE Trans. Neural Networks Learn. Syst., 2020
Int. J. Neural Syst., 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Semantic and perceptual priming activate partially overlapping brain networks as revealed by direct cortical recordings in humans.
NeuroImage, 2019
Entropy, 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
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. Cogn. Neurosci., 2018
Frontiers Neuroinformatics, 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
Comput. Aided Des., 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
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
2016
IEEE Trans. Biomed. Eng., 2016
Simple-iteration method with alternating step size for solving operator equations in Hilbert space.
J. Comput. Appl. Math., 2016
Int. J. Neural Syst., 2016
Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach.
Int. J. Neural Syst., 2016
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
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
2014
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. Intell. AI 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
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
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. Veh. Technol., 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. Intell. Transp. Syst., 2011
Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals.
Sensors, 2011
Expert Syst. Appl., 2011
Entropy, 2011
Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects.
Comput. Intell. Neurosci., 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
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011
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
J. Real Time Image Process., 2010
Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4.
Int. J. Neural Syst., 2010
Int. J. Neural Syst., 2010
Increasing and Decreasing Returns and Losses in Mutual Information Feature Subset Selection.
Entropy, 2010
Comput. Vis. Image Underst., 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
IEEE Trans. Image Process., 2009
Image Vis. Comput., 2009
Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals.
Int. J. Wavelets Multiresolution Inf. Process., 2009
Expert Syst. Appl., 2009
Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks.
Artif. Intell. Medicine, 2009
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
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
2008
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Neural Comput., 2008
Neural Comput., 2008
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
2007
Int. J. Comput. Vis., 2007
Int. J. Comput. Vis., 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
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
Proceedings of the 15th International Conference on Digital Signal Processing, 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
Proceedings of the 15th European Symposium on Artificial Neural Networks, 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
IEEE Trans. Neural Networks, 2006
Neural Networks, 2006
Neural Comput., 2006
Comput. Vis. Image Underst., 2006
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
Hybrid Feature Subset Selection for the Quantitative Assessment of Skills of Stroke Patients in Activity of Daily Living Tasks.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Statistically Rigorous Human Movement Onset Detection with the Maximal Information Redundancy Criterion.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 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 Process., 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
J. VLSI Signal Process., 2004
Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes.
J. VLSI Signal Process., 2004
IEEE Trans. Neural Networks, 2004
IEEE Trans. Biomed. Eng., 2004
NeuroImage, 2004
Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing.
Nat. Comput., 2004
Int. J. Knowl. Based Intell. Eng. Syst., 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
IEEE Trans. Medical Imaging, 2003
Scientometrics, 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
Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals.
J. VLSI Signal Process., 2002
J. VLSI Signal Process., 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
Neural Comput., 2002
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
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
2001
Proceedings of the Advances in Self-Organising Maps, 2001
2000
J. VLSI Signal Process., 2000
Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans.
Proceedings of the Connectionist Models of Learning, 2000
1999
Neural Process. Lett., 1999
1998
Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image Processing.
J. VLSI Signal Process., 1998
Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion.
Neural Comput., 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 Process., 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 Comput., 1997
Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs.
Biol. Cybern., 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 Process. Lett., 1996
1995
Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization.
Neural Networks, 1995
A natural object recognition system using Self-organizing Translation-Invariant Maps.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 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
IEEE Trans. Neural Networks, 1994
Concurr. Pract. Exp., 1994
1993
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle.
Neural Comput., 1993
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 Distributed 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
1989
Entropy Driven Artificial Neuronal Networks and Sensorial Representation: A Proposal.
J. Parallel Distributed Comput., 1989