Marc M. Van Hulle

174 papers A* 2A 1B 7C 2Misc 2Journal 108Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An open-source implementation of a closed-loop electrocorticographic Brain-Computer Interface using Micromed, FieldTrip, and PsychoPy. CoRR Bob Van Dyck, Arne Van Den Kerchove, Marc M. Van Hulle
2026	J	`jnl`	An open-source implementation of a closed-loop electrocorticographic brain-computer interface using Micromed, FieldTrip, and PsychoPy. Biomed. Signal Process. Control. Bob Van Dyck, Arne Van Den Kerchove, Marc M. Van Hulle
2025	—	`conf`	An Event-Related Potential BCI Speller Using a Wearable, Single-Channel EEG Headset with Electrodes on the Forehead. IWANN (2) Arne Van Den Kerchove, Mani Mirsaeedi, Bob Van Dyck, Marc M. Van Hulle
2025	—	`conf`	On the Impact of Proprioception in EEG Representations and Decoding During Human-Hand Exoskeleton Interaction. ICORR Qiang Sun, Eva Calvo Merino, Liuyin Yang, Axel Faes, Marc M. Van Hulle
2025	J	`jnl`	Subthalamic Nucleus Deep Brain Stimulation Modulates Auditory Steady State Responses in Parkinson's Disease. Int. J. Neural Syst. Thomas Pirenne, Mansoureh Fahimi Hnazaee, Patrick Santens, Aline Moorkens, Marc M. Van Hulle
2024	J	`jnl`	Single Finger Trajectory Prediction From Intracranial Brain Activity Using Block-Term Tensor Regression With Fast and Automatic Component Extraction. IEEE Trans. Neural Networks Learn. Syst. Axel Faes, Flavio Camarrone, Marc M. Van Hulle
2023	J	`jnl`	A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks. Inf. Sci. Masoud Amiri, Amir Homayoun Jafari, Bahador Makkiabadi, Soheila Nazari, Marc M. Van Hulle
2023	Misc	`conf`	Decoding Auditory EEG Responses Using an Adapted Wavenet. ICASSP Bob Van Dyck, Liuyin Yang, Marc M. Van Hulle
2023	J	`jnl`	Real-Time Navigation in Google Street View® Using a Motor Imagery-Based BCI. Sensors Liuyin Yang, Marc M. Van Hulle
2022	J	`jnl`	Alternating step size method for solving ill-posed linear operator equations in energetic space. J. Comput. Appl. Math. Oleg Matysik, Marc M. Van Hulle
2022	J	`jnl`	Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition. Eng. Appl. Artif. Intell. Soheila Nazari, Alireza Keyanfar, Marc M. Van Hulle
2022	J	`jnl`	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. Arno Libert, Benjamin Wittevrongel, Flavio Camarrone, Marc M. Van Hulle
2021	J	`jnl`	Accurate Offline Asynchronous Detection of Individual Finger Movement From Intracranial Brain Signals Using a Novel Multiway Approach. IEEE Trans. Biomed. Eng. Flavio Camarrone, Mariana P. Branco, Nick F. Ramsey, Marc M. Van Hulle
2021	—	`conf`	Effect of stimulus direction on motion-onset visual evoked potentials decoded using spatiotemporal beamforming Abstract. NER Arno Libert, Benjamin Wittevrongel, Marc M. Van Hulle
2020	J	`jnl`	Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance. IEEE Trans. Neural Networks Learn. Syst. Soheila Nazari, Masoud Amiri, Karim Faez, Marc M. Van Hulle
2020	J	`jnl`	Localization of deep brain activity with scalp and subdural EEG. NeuroImage Mansoureh Fahimi Hnazaee, Benjamin Wittevrongel, Elvira Khachatryan, Arno Libert, Evelien Carrette, Ine Dauwe, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle
2020	B	`conf`	Predicting low gamma- from lower frequency band activity in electrocorticography. ESANN Marc M. Van Hulle, Bob Van Dyck, Benjamin Wittevrongel, Flavio Camarrone, Ine Dauwe, Evelien Carrette, Alfred Meurs, Paul Boon, Dirk Van Roost
2020	J	`jnl`	Single-Trial EEG Responses Classified Using Latency Features. Int. J. Neural Syst. Irzam Hardiansyah, Valentina Pergher, Marc M. Van Hulle
2019	J	`jnl`	Fast Multiway Partial Least Squares Regression. IEEE Trans. Biomed. Eng. Flavio Camarrone, Marc M. Van Hulle
2019	B	`conf`	Monitoring temporal dynamics of steady-state visual evoked potentials. SMC Benjamin Wittevrongel, Marc M. Van Hulle
2019	J	`jnl`	Predicting Premature Video Skipping and Viewer Interest from EEG Recordings. Entropy Arno Libert, Marc M. Van Hulle
2019	J	`jnl`	Semantic and perceptual priming activate partially overlapping brain networks as revealed by direct cortical recordings in humans. NeuroImage Elvira Khachatryan, Benjamin Wittevrongel, Mansoureh Fahimi Hnazaee, Evelien Carrette, Ine Dauwe, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle
2018	J	`jnl`	Accurate Decoding of Short, Phase-Encoded SSVEPs. Sensors Ahmed Youssef Ali Amer, Benjamin Wittevrongel, Marc M. Van Hulle
2018	J	`jnl`	Decoding Steady-State Visual Evoked Potentials From Electrocorticography. Frontiers Neuroinformatics Benjamin Wittevrongel, Elvira Khachatryan, Mansoureh Fahimi Hnazaee, Flavio Camarrone, Evelien Carrette, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle
2018	J	`jnl`	Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials. J. Cogn. Neurosci. Marijn van Vliet, Marc M. Van Hulle, Riitta Salmelin
2018	—	`conf`	Mutual Information-Based Electrode Selection Extended With Prior Knowledge For Use in Brain-Computer Interfacing. BIBM Ruben Moermans, Benjamin Wittevrongel, Marc M. Van Hulle
2018	J	`jnl`	Representation of steady-state visual evoked potentials elicited by luminance flicker in human occipital cortex: An electrocorticography study. NeuroImage Benjamin Wittevrongel, Elvira Khachatryan, Mansoureh Fahimi Hnazaee, Evelien Carrette, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle
2017	—	`conf`	Fast algorithm for multiway regression. DSP Flavio Camarrone, Marc M. Van Hulle
2017	—	`conf`	How does the brain process mild versus strong violations in music? A pilot study using event-related potentials. DSP Marie-Eve Joret, Marijn van Vliet, Flavio Camarrone, Marc M. Van Hulle
2017	J	`jnl`	Product sizing with 3D anthropometry and k-medoids clustering. Comput. Aided Des. Daniel Lacko, Toon Huysmans, Jochen Vleugels, Guido De Bruyne, Marc M. Van Hulle, Jan Sijbers, Stijn Verwulgen
2017	B	`conf`	Typicality effect on N400 ERP in categories despite differences in semantic processing. IJCNN Mansoureh Fahimi Hnazaee, Marc M. Van Hulle
2016	—	`conf`	Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli. SSP Elvira Khachatryan, Nikolay Chumerin, Evelien Carrette, Flavio Camarrone, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle
2016	J	`jnl`	Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach. Int. J. Neural Syst. Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle
2016	J	`jnl`	Faster P300 Classifier Training Using Spatiotemporal Beamforming. Int. J. Neural Syst. Benjamin Wittevrongel, Marc M. Van Hulle
2016	—	`conf`	Fully Bayesian tensor-based regression. MLSP Flavio Camarrone, Marc M. Van Hulle
2016	—	`conf`	Hierarchical online SSVEP spelling achieved with spatiotemporal beamforming. SSP Benjamin Wittevrongel, Marc M. Van Hulle
2016	J	`jnl`	Simple-iteration method with alternating step size for solving operator equations in Hilbert space. J. Comput. Appl. Math. Oleg Matysik, Marc M. Van Hulle
2016	J	`jnl`	Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer. IEEE Trans. Biomed. Eng. Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roelf Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle
2014	—	`conf`	Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences. CIP Elvira Khachatryan, Marijn van Vliet, Simon De Deyne, Gerrit Storms, Hovhannes Manvelyan, Marc M. Van Hulle
2014	J	`jnl`	Language Model Applications to Spelling with Brain-Computer Interfaces. Sensors Anderson Mora-Cortes, Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle
2014	—	`conf`	Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm. MLSP Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle
2013	—	`conf`	Inter-document reference detection as an alternative to full text semantic analysis in document clustering. MLSP Patrick A. De Mazière, Marc M. Van Hulle
2013	J	`jnl`	Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device. IEEE Trans. Comput. Intell. AI Games Nikolay Chumerin, Nikolay V. Manyakov, Marijn van Vliet, Arne Robben, Adrien Combaz, Marc M. Van Hulle
2012	J	`jnl`	A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features. IEEE Trans. Computers Karl Pauwels, Matteo Tomasi, Javier Díaz Alonso, Eduardo Ros, Marc M. Van Hulle
2012	—	`conf`	Decoding SSVEP Responses based on Parafac Decomposition. BIOSIGNALS Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
2012	J	`jnl`	Enhancing the Yield of High-Density electrode Arrays through Automated electrode Selection. Int. J. Neural Syst. Gert Van Dijck, Karsten Seidl, Oliver Paul, Patrick Ruther, Marc M. Van Hulle, Reinoud Maex
2012	—	`conf`	Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling. ICAISC (2) Nikolay V. Manyakov, Adrien Combaz, Nikolay Chumerin, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
2012	J	`jnl`	Head-Centric Disparity and Epipolar Geometry Estimation from a Population of Binocular Energy Neurons. Int. J. Neural Syst. Karl Pauwels, Marc M. Van Hulle
2012	J	`jnl`	Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface. Int. J. Neural Syst. Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle
2012	—	`ch.`	Self-organizing Maps. Handbook of Natural Computing Marc M. Van Hulle
2012	J	`jnl`	Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface. Neurocomputing Adrien Combaz, Nikolay Chumerin, Nikolay V. Manyakov, Arne Robben, Johan A. K. Suykens, Marc M. Van Hulle
2011	J	`jnl`	A clustering study of a 7000 EU document inventory using MDS and SOM. Expert Syst. Appl. Patrick A. De Mazière, Marc M. Van Hulle
2011	J	`jnl`	An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Trans. Neural Networks Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic
2011	—	`conf`	Brain-computer interface research at Katholieke Universiteit Leuven. ISABEL Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Patrick A. De Mazière, Marc M. Van Hulle
2011	—	`conf`	Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction. MLSP Arne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marijn van Vliet, Marc M. Van Hulle
2011	J	`jnl`	Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Comput. Intell. Neurosci. Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle
2011	—	`conf`	Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled Subjects. BIOSIGNALS Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle
2011	C	`conf`	Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network. IDEAL Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
2011	—	`conf`	Decoding phase-based information from SSVEP recordings: A comparative study. MLSP Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
2011	J	`jnl`	Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals. Sensors Gert Van Dijck, Marc M. Van Hulle
2011	J	`jnl`	Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions. Entropy Gert Van Dijck, Marc M. Van Hulle
2011	J	`jnl`	Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database. IEEE Trans. Veh. Technol. Reinhard Klette, Norbert Krüger, Tobi Vaudrey, Karl Pauwels, Marc M. Van Hulle, Sandino Morales, Farid I. Kandil, Ralf Haeusler, Nicolas Pugeault, Clemens Rabe, Markus Lappe
2011	—	`conf`	Steady State Visual Evoked Potential Based Computer Gaming - The Maze. INTETAIN Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
2011	—	`conf`	Subject-adaptive steady-state visual evoked potential detection for brain-computer interface. IDAACS (1) Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle
2011	J	`jnl`	Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence. Appl. Soft Comput. Jonas Poelmans, Marc M. Van Hulle, Stijn Viaene, Paul Elzinga, Guido Dedene
2011	J	`jnl`	The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car. IEEE Trans. Intell. Transp. Syst. Irene Markelic, Anders Kjær-Nielsen, Karl Pauwels, Lars Baunegaard With Jensen, Nikolay Chumerin, Ausra Vidugiriene, Minija Tamosiunaite, Alexander Rotter, Marc M. Van Hulle, Norbert Krüger, Florentin Wörgötter
2011	J	`jnl`	The complex local mean decomposition. Neurocomputing Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic
2010	—	`conf`	A Three-level Architecture for Model-free Detection and Tracking of Independently Moving Objects. VISAPP (1) Nicolas Pugeault, Karl Pauwels, Marc M. Van Hulle, Florian Pilz, Norbert Krüger
2010	J	`jnl`	A compact harmonic code for early vision based on anisotropic frequency channels. Comput. Vis. Image Underst. Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger
2010	J	`jnl`	A two-level real-time vision machine combining coarse- and fine-grained parallelism. J. Real Time Image Process. Lars Baunegaard With Jensen, Anders Kjær-Nielsen, Karl Pauwels, Jeppe Barsøe Jessen, Marc M. Van Hulle, Norbert Krüger
2010	—	`conf`	Combining ESOMs Trained on a Hierarchy of Feature Subsets for Single-Trial Decoding of LFP Responses in Monkey Area V4. ICAISC (2) Nikolay V. Manyakov, Jonas Poelmans, Rufin Vogels, Marc M. Van Hulle
2010	J	`jnl`	Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4. Int. J. Neural Syst. Nikolay V. Manyakov, Marc M. Van Hulle
2010	—	`conf`	Decoding SSVEP Responses using Time Domain Classification. IJCCI (ICFC-ICNC) Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marc M. Van Hulle
2010	J	`jnl`	Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. IEEE Trans. Neural Networks Nikolay V. Manyakov, Rufin Vogels, Marc M. Van Hulle
2010	J	`jnl`	Increasing and Decreasing Returns and Losses in Mutual Information Feature Subset Selection. Entropy Gert Van Dijck, Marc M. Van Hulle
2010	J	`jnl`	Learning Eye Vergence Control from a Distributed Disparity Representation. Int. J. Neural Syst. Nikolay Chumerin, Agostino Gibaldi, Silvio P. Sabatini, Marc M. Van Hulle
2010	—	`conf`	Toward Automated Electrode Selection in the Electronic Depth Control Strategy for Multi-unit Recordings. ICONIP (2) Gert Van Dijck, Ahmad Jezzini, Stanislav Herwik, Sebastian Kisban, Karsten Seidl, Oliver Paul, Patrick Ruther, Francesca Ugolotti Serventi, Leonardo Fogassi, Marc M. Van Hulle, Maria Alessandra Umiltà
2009	J	`jnl`	A Connectivity-Based Method for Defining Regions-of-Interest in fMRI Data. IEEE Trans. Image Process. Filip Deleus, Marc M. Van Hulle
2009	—	`conf`	Analyzing Domestic Violence with Topographic Maps: A Comparative Study. WSOM Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene, Marc M. Van Hulle
2009	C	`conf`	Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. ICMLA Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumerin, Johan A. K. Suykens, Marc M. Van Hulle
2009	J	`jnl`	Gaining insight in domestic violence with Emergent Self Organizing Maps. Expert Syst. Appl. Jonas Poelmans, Paul Elzinga, Stijn Viaene, Marc M. Van Hulle, Guido Dedene
2009	—	`conf`	How Emergent Self Organizing Maps Can Help Counter Domestic Violence. CSIE (4) Jonas Poelmans, Paul Elzinga, Stijn Viaene, Marc M. Van Hulle, Guido Dedene
2009	J	`jnl`	Optic flow from unstable sequences through local velocity constancy maximization. Image Vis. Comput. Karl Pauwels, Marc M. Van Hulle
2009	Misc	`conf`	P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. KI Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Johan A. K. Suykens, Refet Firat Yazicioglu, Tom Torfs, Patrick Merken, Herc P. Neves, Chris Van Hoof, Marc M. Van Hulle
2009	J	`jnl`	Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks. Artif. Intell. Medicine Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle
2009	—	`conf`	Road Interpretation for Driver Assistance based on an Early Cognitive Vision System. VISAPP (1) Emre Baseski, Lars Baunegaard With Jensen, Nicolas Pugeault, Florian Pilz, Karl Pauwels, Marc M. Van Hulle, Florentin Wörgötter, Norbert Krüger
2009	J	`jnl`	Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals. Int. J. Wavelets Multiresolution Inf. Process. Gert Van Dijck, Martine Wevers, Marc M. Van Hulle
2008	J	`jnl`	Constrained Subspace ICA Based on Mutual Information Optimization Directly. Neural Comput. Marc M. Van Hulle
2008	—	`ch.`	Kernel-Based Topographic Maps: Theory and Applications. Wiley Encyclopedia of Computer Science and Engineering Marc M. Van Hulle
2008	J	`jnl`	Machine Learning for Signal Processing. Neurocomputing Marc M. Van Hulle, Jan Larsen
2008	—	`conf`	Realtime phase-based optical flow on the GPU. CVPR Workshops Karl Pauwels, Marc M. Van Hulle
2008	J	`jnl`	Sequential Fixed-Point ICA Based on Mutual Information Minimization. Neural Comput. Marc M. Van Hulle
2007	A*	`conf`	A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation. ICDM Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh
2007	—	`conf`	Blood Volume Signal Analysis with Empirical Mode Decomposition. DSP George Souretis, Danilo P. Mandic, Massimo Grisseli, Toshihisa Tanaka, Marc M. Van Hulle
2007	B	`conf`	Causality analysis of LFPs in micro-electrode arrays based on mutual information. ESANN Nikolay V. Manyakov, Marc M. Van Hulle
2007	—	`conf`	Compact (and accurate) early vision processing in the harmonic space. VISAPP (1) Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger
2007	J	`jnl`	Editorial: ECOVISION: Challenges in Early-Cognitive Vision. Int. J. Comput. Vis. Norbert Krüger, Florentin Wörgötter, Marc M. Van Hulle
2007	J	`jnl`	Fixation as a Mechanism for Stabilization of Short Image Sequences. Int. J. Comput. Vis. Karl Pauwels, Markus Lappe, Marc M. Van Hulle
2007	—	`conf`	Information Theoretic Derivations for Causality Detection: Application to Human Gait. ICANN (2) Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle
2007	A*	`conf`	Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients. AAAI Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle
2007	—	`conf`	Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. PKDD Gert Van Dijck, Marc M. Van Hulle
2006	J	`jnl`	Batch map extensions of the kernel-based maximum entropy learning rule. IEEE Trans. Neural Networks Temujin Gautama, Marc M. Van Hulle
2006	J	`jnl`	Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures. Neural Comput. Marc M. Van Hulle
2006	—	`conf`	Hybrid Feature Subset Selection for the Quantitative Assessment of Skills of Stroke Patients in Activity of Daily Living Tasks. EMBC Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh
2006	—	`conf`	Onset Detection through Maximal Redundancy Detection. ICPR (1) Gert Van Dijck, Marc M. Van Hulle
2006	A	`conf`	Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization. BMVC Karl Pauwels, Marc M. Van Hulle
2006	J	`jnl`	Optimal instantaneous rigid motion estimation insensitive to local minima. Comput. Vis. Image Underst. Karl Pauwels, Marc M. Van Hulle
2006	—	`conf`	Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis. ICANN (1) Gert Van Dijck, Marc M. Van Hulle
2006	—	`conf`	Statistically Rigorous Human Movement Onset Detection with the Maximal Information Redundancy Criterion. EMBC Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh
2006	J	`jnl`	Topographic map formation of factorized Edgeworth-expanded kernels. Neural Networks Marc M. Van Hulle
2005	J	`jnl`	Edgeworth Approximation of Multivariate Differential Entropy. Neural Comput. Marc M. Van Hulle
2005	J	`jnl`	Edgeworth-Expanded Gaussian Mixture Density Modeling. Neural Comput. Marc M. Van Hulle
2005	J	`jnl`	Estimating the global order of the fMRI noise model. NeuroImage Temujin Gautama, Marc M. Van Hulle
2005	J	`jnl`	Maximum Likelihood Topographic Map Formation. Neural Comput. Marc M. Van Hulle
2005	J	`jnl`	Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood. Signal Process. Marc M. Van Hulle
2005	J	`jnl`	Neural Networks in Signal Processing. Neurocomputing Marc M. Van Hulle, Jan Larsen
2005	—	`conf`	On nonlinear modular neural filters. ICASSP (5) Mo Chen, Danilo P. Mandic, Temujin Gautama, Marc M. Van Hulle
2005	—	`conf`	Robust Instantaneous Rigid Motion Estimation. CVPR (2) Karl Pauwels, Marc M. Van Hulle
2004	J	`jnl`	A non-parametric test for detecting the complex-valued nature of time series. Int. J. Knowl. Based Intell. Eng. Syst. Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
2004	J	`jnl`	A novel method for determining the nature of time series. IEEE Trans. Biomed. Eng. Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
2004	—	`conf`	Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation. International Conference on Computational Intelligence Gert Van Dijck, Martine Wevers, Marc M. Van Hulle
2004	J	`jnl`	Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. Nat. Comput. Florentin Wörgötter, Norbert Krüger, Nicolas Pugeault, Dirk Calow, Markus Lappe, Karl Pauwels, Marc M. Van Hulle, Sovira Tan, Alan Johnston
2004	J	`jnl`	Entropy-based kernel mixture modeling for topographic map formation. IEEE Trans. Neural Networks Marc M. Van Hulle
2004	—	`conf`	Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a real-case Application. International Conference on Computational Intelligence Gert Van Dijck, Marc M. Van Hulle, Martine Wevers
2004	J	`jnl`	Guest Editorial for Special Issue on Machine Learning for Signal Processing. J. VLSI Signal Process. David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle
2004	B	`conf`	Modelling the connectivity between terms in the neuroscience literature. IJCNN Filip Deleus, Marc M. Van Hulle
2004	J	`jnl`	Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes. J. VLSI Signal Process. Marc M. Van Hulle, Temujin Gautama
2004	J	`jnl`	Optimal spatial regularisation of autocorrelation estimates in fMRI analysis. NeuroImage Temujin Gautama, Marc M. Van Hulle
2003	B	`conf`	A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series. KES Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
2003	—	`conf`	A differential entropy based method for determining the optimal embedding parameters of a signal. ICASSP (6) Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
2003	J	`jnl`	Monitoring elasticity between science and technology domains and its visualization. Scientometrics Filip Deleus, Marc M. Van Hulle
2003	B	`conf`	PCA and ICA neural implementations for source separation - a comparative study. IJCNN Radu Mutihac, Marc M. Van Hulle
2003	J	`jnl`	Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. IEEE Trans. Medical Imaging Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
2003	—	`conf`	Surrogate-based test for Granger causality. NNSP Temujin Gautama, Marc M. Van Hulle
2002	J	`jnl`	A phase-based approach to the estimation of the optical flow field using spatial filtering. IEEE Trans. Neural Networks Temujin Gautama, Marc M. Van Hulle
2002	J	`jnl`	Blind Source Separation and Equiprobabilistic Topographic Maps. J. VLSI Signal Process. Marc M. Van Hulle
2002	—	`conf`	Functional connectivity modelling in fMRI based on causal networks. NNSP Filip Deleus, Patrick A. De Mazière, Marc M. Van Hulle
2002	J	`jnl`	Guest Editors' Introduction. J. VLSI Signal Process. Marc M. Van Hulle, Jan Larsen, Tülay Adali
2002	J	`jnl`	Joint Entropy Maximization in Kernel-Based Topographic Maps. Neural Comput. Marc M. Van Hulle
2002	J	`jnl`	Kernel-Based Topographic Map Formation by Local Density Modeling. Neural Comput. Marc M. Van Hulle
2002	J	`jnl`	Kernel-based topographic map formation achieved with an information-theoretic approach. Neural Networks Marc M. Van Hulle
2002	—	`conf`	Kernel-based topographic map formation achieved with normalized Gaussian competition. NNSP Marc M. Van Hulle
2002	J	`jnl`	Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals. J. VLSI Signal Process. Marc M. Van Hulle, Temujin Gautama
2002	—	`conf`	Neural network implementations of independent component analysis. NNSP Radu Mutihac, Marc M. Van Hulle
2001	—	`conf`	Towards an information-theoretic approach to kernel-based topographic map formation. WSOM Marc M. Van Hulle
2000	J	`jnl`	Guest Editors' Introduction. J. VLSI Signal Process. Tülay Adali, Marc M. Van Hulle, Mahasan Niranjan
2000	J	`jnl`	Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps. J. VLSI Signal Process. Marc M. Van Hulle
2000	—	`conf`	Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans. NCPW Patrick A. De Mazière, Marc M. Van Hulle
1999	J	`jnl`	Density-based clustering with topographic maps. IEEE Trans. Neural Networks Marc M. Van Hulle
1999	J	`jnl`	Faithful representations with topographic maps. Neural Networks Marc M. Van Hulle
1999	J	`jnl`	Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. Neural Process. Lett. Temujin Gautama, Marc M. Van Hulle
1998	J	`jnl`	Kernel-Based Equiprobable Topographic Map Formation. Neural Comput. Marc M. Van Hulle
1998	J	`jnl`	Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion. Neural Comput. Lin Liu, Marc M. Van Hulle
1998	J	`jnl`	Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image Processing. J. VLSI Signal Process. Marc M. Van Hulle
1998	J	`jnl`	The Softmap Algorithm. Neural Process. Lett. Steven Raekelboom, Marc M. Van Hulle
1997	J	`jnl`	Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs. Biol. Cybern. Marc M. Van Hulle
1997	J	`jnl`	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. Marc M. Van Hulle
1997	J	`jnl`	The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals. Neural Comput. Marc M. Van Hulle
1997	J	`jnl`	Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. Neural Networks Marc M. Van Hulle
1996	J	`jnl`	Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis. Neural Process. Lett. Marc M. Van Hulle
1996	J	`jnl`	Topographic map formation by maximizing unconditional entropy: a plausible strategy for "online" unsupervised competitive learning and nonparametric density estimation. IEEE Trans. Neural Networks Marc M. Van Hulle
1995	—	`conf`	A natural object recognition system using Self-organizing Translation-Invariant Maps. SNN Symposium on Neural Networks Danny Roobaert, Marc M. Van Hulle
1995	J	`jnl`	Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization. Neural Networks Dominique Martinez, Marc M. Van Hulle
1995	—	`conf`	Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancelling. ICNN Marc M. Van Hulle
1994	J	`jnl`	Massive MIMD neural network simulations: The connections dilemma. Concurr. Pract. Exp. Tom Tollenaere, J. Miguel Saraiva, Marc M. Van Hulle
1994	J	`jnl`	On a novel unsupervised competitive learning algorithm for scalar quantization. IEEE Trans. Neural Networks Marc M. Van Hulle, Dominique Martinez
1993	J	`jnl`	A modular artificial neural network for texture processing. Neural Networks Marc M. Van Hulle, Tom Tollenaere
1993	—	`conf`	An unsupervised learning rule for vector normalization and gain control. ICNN Marc M. Van Hulle
1993	J	`jnl`	On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle. Neural Comput. Marc M. Van Hulle, Dominique Martinez
1992	J	`jnl`	Parallel Implementation and Capabilities of Entropy-Driven Artifical Neural Networks. J. Parallel Distributed Comput. Tom Tollenaere, Marc M. Van Hulle, Guy A. Orban
1991	J	`jnl`	A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem. Int. J. Neural Syst. Marc M. Van Hulle
1991	J	`jnl`	A goal programming network for linear programming. Biol. Cybern. Marc M. Van Hulle
1991	J	`jnl`	Representation and processing in a stochastic neural network: An integrated approach. Neural Networks Marc M. Van Hulle, Guy A. Orban
1989	J	`jnl`	Entropy Driven Artificial Neuronal Networks and Sensorial Representation: A Proposal. J. Parallel Distributed Comput. Marc M. Van Hulle, Guy A. Orban