Entropy Driven Artificial Neuronal Networks and Sensorial Representation: A Proposal. - Marc M. Van Hulle; Guy A. Orban (J. Parallel Distributed Comput., 1989)

A goal programming network for linear programming. - Marc M. Van Hulle (Biol. Cybern., 1991)

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

Representation and processing in a stochastic neural network: An integrated approach. - Marc M. Van Hulle; Guy A. Orban (Neural Networks, 1991)

Parallel Implementation and Capabilities of Entropy-Driven Artifical Neural Networks. - Tom Tollenaere; Marc M. Van Hulle; Guy A. Orban (J. Parallel Distributed Comput., 1992)

An unsupervised learning rule for vector normalization and gain control. - Marc M. Van Hulle (ICNN, 1993)

On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle. - Marc M. Van Hulle; Dominique Martinez (Neural Comput., 1993)

A modular artificial neural network for texture processing. - Marc M. Van Hulle; Tom Tollenaere (Neural Networks, 1993)

Massive MIMD neural network simulations: The connections dilemma. - Tom Tollenaere; J. Miguel Saraiva; Marc M. Van Hulle (Concurr. Pract. Exp., 1994)

On a novel unsupervised competitive learning algorithm for scalar quantization. - Marc M. Van Hulle; Dominique Martinez (IEEE Trans. Neural Networks, 1994)

Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancelling. - Marc M. Van Hulle (ICNN, 1995)

A natural object recognition system using Self-organizing Translation-Invariant Maps. - Danny Roobaert; Marc M. Van Hulle (SNN Symposium on Neural Networks, 1995)

Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization. - Dominique Martinez; Marc M. Van Hulle (Neural Networks, 1995)

Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis. - Marc M. Van Hulle (Neural Process. Lett., 1996)

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

Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs. - Marc M. Van Hulle (Biol. Cybern., 1997)

The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals. - Marc M. Van Hulle (Neural Comput., 1997)

Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. - Marc M. Van Hulle (Neural Networks, 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. - Marc M. Van Hulle (IEEE Trans. Signal Process., 1997)

Kernel-Based Equiprobable Topographic Map Formation. - Marc M. Van Hulle (Neural Comput., 1998)

Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion. - Lin Liu; Marc M. Van Hulle (Neural Comput., 1998)

The Softmap Algorithm. - Steven Raekelboom; Marc M. Van Hulle (Neural Process. Lett., 1998)

Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image Processing. - Marc M. Van Hulle (J. VLSI Signal Process., 1998)

Faithful representations with topographic maps. - Marc M. Van Hulle (Neural Networks, 1999)

Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. - Temujin Gautama; Marc M. Van Hulle (Neural Process. Lett., 1999)

Density-based clustering with topographic maps. - Marc M. Van Hulle (IEEE Trans. Neural Networks, 1999)

Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans. - Patrick A. De Mazière; Marc M. Van Hulle (NCPW, 2000)

Guest Editors' Introduction. - Tülay Adali; Marc M. Van Hulle; Mahasan Niranjan (J. VLSI Signal Process., 2000)

Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps. - Marc M. Van Hulle (J. VLSI Signal Process., 2000)

Towards an information-theoretic approach to kernel-based topographic map formation. - Marc M. Van Hulle (WSOM, 2001)

Functional connectivity modelling in fMRI based on causal networks. - Filip Deleus; Patrick A. De Mazière; Marc M. Van Hulle (NNSP, 2002)

Kernel-based topographic map formation achieved with normalized Gaussian competition. - Marc M. Van Hulle (NNSP, 2002)

Neural network implementations of independent component analysis. - Radu Mutihac; Marc M. Van Hulle (NNSP, 2002)

Kernel-Based Topographic Map Formation by Local Density Modeling. - Marc M. Van Hulle (Neural Comput., 2002)

Joint Entropy Maximization in Kernel-Based Topographic Maps. - Marc M. Van Hulle (Neural Comput., 2002)

Kernel-based topographic map formation achieved with an information-theoretic approach. - Marc M. Van Hulle (Neural Networks, 2002)

A phase-based approach to the estimation of the optical flow field using spatial filtering. - Temujin Gautama; Marc M. Van Hulle (IEEE Trans. Neural Networks, 2002)

Blind Source Separation and Equiprobabilistic Topographic Maps. - Marc M. Van Hulle (J. VLSI Signal Process., 2002)

Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals. - Marc M. Van Hulle; Temujin Gautama (J. VLSI Signal Process., 2002)

Guest Editors' Introduction. - Marc M. Van Hulle; Jan Larsen; Tülay Adali (J. VLSI Signal Process., 2002)

A differential entropy based method for determining the optimal embedding parameters of a signal. - Temujin Gautama; Danilo P. Mandic; Marc M. Van Hulle (ICASSP (6), 2003)

PCA and ICA neural implementations for source separation - a comparative study. - Radu Mutihac; Marc M. Van Hulle (IJCNN, 2003)

Surrogate-based test for Granger causality. - Temujin Gautama; Marc M. Van Hulle (NNSP, 2003)

Monitoring elasticity between science and technology domains and its visualization. - Filip Deleus; Marc M. Van Hulle (Scientometrics, 2003)

Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. - Temujin Gautama; Danilo P. Mandic; Marc M. Van Hulle (IEEE Trans. Medical Imaging, 2003)

Modelling the connectivity between terms in the neuroscience literature. - Filip Deleus; Marc M. Van Hulle (IJCNN, 2004)

Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a real-case Application. - Gert Van Dijck; Marc M. Van Hulle; Martine Wevers (International Conference on Computational Intelligence, 2004)

Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation. - Gert Van Dijck; Martine Wevers; Marc M. Van Hulle (International Conference on Computational Intelligence, 2004)

A non-parametric test for detecting the complex-valued nature of time series. - Temujin Gautama; Danilo P. Mandic; Marc M. Van Hulle (Int. J. Knowl. Based Intell. Eng. Syst., 2004)

Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. - Florentin Wörgötter; Norbert Krüger; Nicolas Pugeault; Dirk Calow; Markus Lappe; Karl Pauwels; Marc M. Van Hulle; Sovira Tan; Alan Johnston (Nat. Comput., 2004)

Optimal spatial regularisation of autocorrelation estimates in fMRI analysis. - Temujin Gautama; Marc M. Van Hulle (NeuroImage, 2004)

A novel method for determining the nature of time series. - Temujin Gautama; Danilo P. Mandic; Marc M. Van Hulle (IEEE Trans. Biomed. Eng., 2004)

Entropy-based kernel mixture modeling for topographic map formation. - Marc M. Van Hulle (IEEE Trans. Neural Networks, 2004)

Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes. - Marc M. Van Hulle; Temujin Gautama (J. VLSI Signal Process., 2004)

Guest Editorial for Special Issue on Machine Learning for Signal Processing. - David J. Miller 001; Tülay Adali; Jan Larsen; Marc M. Van Hulle (J. VLSI Signal Process., 2004)

Robust Instantaneous Rigid Motion Estimation. - Karl Pauwels; Marc M. Van Hulle (CVPR (2), 2005)

On nonlinear modular neural filters. - Mo Chen 006; Danilo P. Mandic; Temujin Gautama; Marc M. Van Hulle (ICASSP (5), 2005)

Neural Networks in Signal Processing. - Marc M. Van Hulle; Jan Larsen (Neurocomputing, 2005)

Maximum Likelihood Topographic Map Formation. - Marc M. Van Hulle (Neural Comput., 2005)

Edgeworth-Expanded Gaussian Mixture Density Modeling. - Marc M. Van Hulle (Neural Comput., 2005)

Edgeworth Approximation of Multivariate Differential Entropy. - Marc M. Van Hulle (Neural Comput., 2005)

Estimating the global order of the fMRI noise model. - Temujin Gautama; Marc M. Van Hulle (NeuroImage, 2005)

Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood. - Marc M. Van Hulle (Signal Process., 2005)

Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization. - Karl Pauwels; Marc M. Van Hulle (BMVC, 2006)

Statistically Rigorous Human Movement Onset Detection with the Maximal Information Redundancy Criterion. - Gert Van Dijck; Marc M. Van Hulle; Jo Van Vaerenbergh (EMBC, 2006)

Hybrid Feature Subset Selection for the Quantitative Assessment of Skills of Stroke Patients in Activity of Daily Living Tasks. - Gert Van Dijck; Marc M. Van Hulle; Jo Van Vaerenbergh (EMBC, 2006)

Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis. - Gert Van Dijck; Marc M. Van Hulle (ICANN (1), 2006)

Onset Detection through Maximal Redundancy Detection. - Gert Van Dijck; Marc M. Van Hulle (ICPR (1), 2006)

Optimal instantaneous rigid motion estimation insensitive to local minima. - Karl Pauwels; Marc M. Van Hulle (Comput. Vis. Image Underst., 2006)

Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures. - Marc M. Van Hulle (Neural Comput., 2006)

Topographic map formation of factorized Edgeworth-expanded kernels. - Marc M. Van Hulle (Neural Networks, 2006)

Batch map extensions of the kernel-based maximum entropy learning rule. - Temujin Gautama; Marc M. Van Hulle (IEEE Trans. Neural Networks, 2006)

Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients. - Gert Van Dijck; Jo Van Vaerenbergh; Marc M. Van Hulle (AAAI, 2007)

Causality analysis of LFPs in micro-electrode arrays based on mutual information. - Nikolay V. Manyakov; Marc M. Van Hulle (ESANN, 2007)

Information Theoretic Derivations for Causality Detection: Application to Human Gait. - Gert Van Dijck; Jo Van Vaerenbergh; Marc M. Van Hulle (ICANN (2), 2007)

A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation. - Gert Van Dijck; Marc M. Van Hulle; Jo Van Vaerenbergh (ICDM, 2007)

Blood Volume Signal Analysis with Empirical Mode Decomposition. - George Souretis; Danilo P. Mandic; Massimo Grisseli; Toshihisa Tanaka 001; Marc M. Van Hulle (DSP, 2007)

Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. - Gert Van Dijck; Marc M. Van Hulle (PKDD, 2007)

Compact (and accurate) early vision processing in the harmonic space. - Silvio P. Sabatini; Giulia Gastaldi; Fabio Solari; Karl Pauwels; Marc M. Van Hulle; Javier Díaz 001; Eduardo Ros 001; Nicolas Pugeault; Norbert Krüger (VISAPP (1), 2007)

Editorial: ECOVISION: Challenges in Early-Cognitive Vision. - Norbert Krüger; Florentin Wörgötter; Marc M. Van Hulle (Int. J. Comput. Vis., 2007)

Fixation as a Mechanism for Stabilization of Short Image Sequences. - Karl Pauwels; Markus Lappe; Marc M. Van Hulle (Int. J. Comput. Vis., 2007)

Realtime phase-based optical flow on the GPU. - Karl Pauwels; Marc M. Van Hulle (CVPR Workshops, 2008)

Machine Learning for Signal Processing. - Marc M. Van Hulle; Jan Larsen (Neurocomputing, 2008)

Constrained Subspace ICA Based on Mutual Information Optimization Directly. - Marc M. Van Hulle (Neural Comput., 2008)

Sequential Fixed-Point ICA Based on Mutual Information Minimization. - Marc M. Van Hulle (Neural Comput., 2008)

Kernel-Based Topographic Maps: Theory and Applications. - Marc M. Van Hulle (Wiley Encyclopedia of Computer Science and Engineering, 2008)

How Emergent Self Organizing Maps Can Help Counter Domestic Violence. - Jonas Poelmans; Paul Elzinga; Stijn Viaene; Marc M. Van Hulle; Guido Dedene (CSIE (4), 2009)

Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. - Adrien Combaz; Nikolay V. Manyakov; Nikolay Chumerin; Johan A. K. Suykens; Marc M. Van Hulle (ICMLA, 2009)

P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. - 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 (KI, 2009)

Road Interpretation for Driver Assistance based on an Early Cognitive Vision System. - Emre Baseski; Lars Baunegaard With Jensen; Nicolas Pugeault; Florian Pilz; Karl Pauwels; Marc M. Van Hulle; Florentin Wörgötter; Norbert Krüger (VISAPP (1), 2009)

Analyzing Domestic Violence with Topographic Maps: A Comparative Study. - Jonas Poelmans; Paul Elzinga; Stijn Viaene; Guido Dedene; Marc M. Van Hulle (WSOM, 2009)

Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks. - Gert Van Dijck; Jo Van Vaerenbergh; Marc M. Van Hulle (Artif. Intell. Medicine, 2009)

Gaining insight in domestic violence with Emergent Self Organizing Maps. - Jonas Poelmans; Paul Elzinga; Stijn Viaene; Marc M. Van Hulle; Guido Dedene (Expert Syst. Appl., 2009)

Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals. - Gert Van Dijck; Martine Wevers; Marc M. Van Hulle (Int. J. Wavelets Multiresolution Inf. Process., 2009)

Optic flow from unstable sequences through local velocity constancy maximization. - Karl Pauwels; Marc M. Van Hulle (Image Vis. Comput., 2009)

A Connectivity-Based Method for Defining Regions-of-Interest in fMRI Data. - Filip Deleus; Marc M. Van Hulle (IEEE Trans. Image Process., 2009)

Combining ESOMs Trained on a Hierarchy of Feature Subsets for Single-Trial Decoding of LFP Responses in Monkey Area V4. - Nikolay V. Manyakov; Jonas Poelmans; Rufin Vogels; Marc M. Van Hulle (ICAISC (2), 2010)

Toward Automated Electrode Selection in the Electronic Depth Control Strategy for Multi-unit Recordings. - 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 (ICONIP (2), 2010)

Decoding SSVEP Responses using Time Domain Classification. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marc M. Van Hulle (IJCCI (ICFC-ICNC), 2010)

A Three-level Architecture for Model-free Detection and Tracking of Independently Moving Objects. - Nicolas Pugeault; Karl Pauwels; Marc M. Van Hulle; Florian Pilz; Norbert Krüger (VISAPP (1), 2010)

A compact harmonic code for early vision based on anisotropic frequency channels. - Silvio P. Sabatini; Giulia Gastaldi; Fabio Solari; Karl Pauwels; Marc M. Van Hulle; Javier Díaz 001; Eduardo Ros 001; Nicolas Pugeault; Norbert Krüger (Comput. Vis. Image Underst., 2010)

Increasing and Decreasing Returns and Losses in Mutual Information Feature Subset Selection. - Gert Van Dijck; Marc M. Van Hulle (Entropy, 2010)

Learning Eye Vergence Control from a Distributed Disparity Representation. - Nikolay Chumerin; Agostino Gibaldi; Silvio P. Sabatini; Marc M. Van Hulle (Int. J. Neural Syst., 2010)

Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4. - Nikolay V. Manyakov; Marc M. Van Hulle (Int. J. Neural Syst., 2010)

A two-level real-time vision machine combining coarse- and fine-grained parallelism. - Lars Baunegaard With Jensen; Anders Kjær-Nielsen; Karl Pauwels; Jeppe Barsøe Jessen; Marc M. Van Hulle; Norbert Krüger (J. Real Time Image Process., 2010)

Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. - Nikolay V. Manyakov; Rufin Vogels; Marc M. Van Hulle (IEEE Trans. Neural Networks, 2010)

Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled Subjects. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Marc M. Van Hulle (BIOSIGNALS, 2011)

Subject-adaptive steady-state visual evoked potential detection for brain-computer interface. - Nikolay Chumerin; Nikolay V. Manyakov; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (IDAACS (1), 2011)

Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (IDEAL, 2011)

Steady State Visual Evoked Potential Based Computer Gaming - The Maze. - Nikolay Chumerin; Nikolay V. Manyakov; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (INTETAIN, 2011)

Brain-computer interface research at Katholieke Universiteit Leuven. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Patrick A. De Mazière; Marc M. Van Hulle (ISABEL, 2011)

Decoding phase-based information from SSVEP recordings: A comparative study. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (MLSP, 2011)

Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction. - Arne Robben; Nikolay Chumerin; Nikolay V. Manyakov; Adrien Combaz; Marijn van Vliet; Marc M. Van Hulle (MLSP, 2011)

Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence. - Jonas Poelmans; Marc M. Van Hulle; Stijn Viaene; Paul Elzinga; Guido Dedene (Appl. Soft Comput., 2011)

Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Marc M. Van Hulle (Comput. Intell. Neurosci., 2011)

Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions. - Gert Van Dijck; Marc M. Van Hulle (Entropy, 2011)

A clustering study of a 7000 EU document inventory using MDS and SOM. - Patrick A. De Mazière; Marc M. Van Hulle (Expert Syst. Appl., 2011)

The complex local mean decomposition. - Cheolsoo Park; David Looney; Marc M. Van Hulle; Danilo P. Mandic (Neurocomputing, 2011)

Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals. - Gert Van Dijck; Marc M. Van Hulle (Sensors, 2011)

The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car. - 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 (IEEE Trans. Intell. Transp. Syst., 2011)

An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. - Yili Xia; Beth Jelfs; Marc M. Van Hulle; José C. Príncipe; Danilo P. Mandic (IEEE Trans. Neural Networks, 2011)

Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database. - 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 (IEEE Trans. Veh. Technol., 2011)

Decoding SSVEP Responses based on Parafac Decomposition. - Nikolay V. Manyakov; Nikolay Chumerin; Adrien Combaz; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (BIOSIGNALS, 2012)

Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling. - Nikolay V. Manyakov; Adrien Combaz; Nikolay Chumerin; Arne Robben; Marijn van Vliet; Marc M. Van Hulle (ICAISC (2), 2012)

Enhancing the Yield of High-Density electrode Arrays through Automated electrode Selection. - Gert Van Dijck; Karsten Seidl; Oliver Paul; Patrick Ruther; Marc M. Van Hulle; Reinoud Maex (Int. J. Neural Syst., 2012)

Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface. - Nikolay V. Manyakov; Nikolay Chumerin; Marc M. Van Hulle (Int. J. Neural Syst., 2012)

Head-Centric Disparity and Epipolar Geometry Estimation from a Population of Binocular Energy Neurons. - Karl Pauwels; Marc M. Van Hulle (Int. J. Neural Syst., 2012)

Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface. - Adrien Combaz; Nikolay Chumerin; Nikolay V. Manyakov; Arne Robben; Johan A. K. Suykens; Marc M. Van Hulle (Neurocomputing, 2012)

A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features. - Karl Pauwels; Matteo Tomasi; Javier Díaz Alonso; Eduardo Ros 001; Marc M. Van Hulle (IEEE Trans. Computers, 2012)

Self-organizing Maps. - Marc M. Van Hulle (Handbook of Natural Computing, 2012)

Inter-document reference detection as an alternative to full text semantic analysis in document clustering. - Patrick A. De Mazière; Marc M. Van Hulle (MLSP, 2013)

Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device. - Nikolay Chumerin; Nikolay V. Manyakov; Marijn van Vliet; Arne Robben; Adrien Combaz; Marc M. Van Hulle (IEEE Trans. Comput. Intell. AI Games, 2013)

Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences. - Elvira Khachatryan; Marijn van Vliet; Simon De Deyne; Gerrit Storms; Hovhannes Manvelyan; Marc M. Van Hulle (CIP, 2014)

Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm. - Yelena Tonoyan; David Looney; Danilo P. Mandic; Marc M. Van Hulle (MLSP, 2014)

Language Model Applications to Spelling with Brain-Computer Interfaces. - Anderson Mora-Cortes; Nikolay V. Manyakov; Nikolay Chumerin; Marc M. Van Hulle (Sensors, 2014)

Fully Bayesian tensor-based regression. - Flavio Camarrone; Marc M. Van Hulle (MLSP, 2016)

Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli. - Elvira Khachatryan; Nikolay Chumerin; Evelien Carrette; Flavio Camarrone; Leen De Taeye; Alfred Meurs; Paul Boon 001; Dirk Van Roost; Marc M. Van Hulle (SSP, 2016)

Hierarchical online SSVEP spelling achieved with spatiotemporal beamforming. - Benjamin Wittevrongel; Marc M. Van Hulle (SSP, 2016)

Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach. - Yelena Tonoyan; David Looney; Danilo P. Mandic; Marc M. Van Hulle (Int. J. Neural Syst., 2016)

Faster P300 Classifier Training Using Spatiotemporal Beamforming. - Benjamin Wittevrongel; Marc M. Van Hulle (Int. J. Neural Syst., 2016)

Simple-iteration method with alternating step size for solving operator equations in Hilbert space. - Oleg Matysik; Marc M. Van Hulle (J. Comput. Appl. Math., 2016)

Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer. - Marijn van Vliet; Nikolay Chumerin; Simon De Deyne; Jan Roelf Wiersema; Wim Fias; Gerrit Storms; Marc M. Van Hulle (IEEE Trans. Biomed. Eng., 2016)

Fast algorithm for multiway regression. - Flavio Camarrone; Marc M. Van Hulle (DSP, 2017)

How does the brain process mild versus strong violations in music? A pilot study using event-related potentials. - Marie-Eve Joret; Marijn van Vliet; Flavio Camarrone; Marc M. Van Hulle (DSP, 2017)

Typicality effect on N400 ERP in categories despite differences in semantic processing. - Mansoureh Fahimi Hnazaee; Marc M. Van Hulle (IJCNN, 2017)

Product sizing with 3D anthropometry and k-medoids clustering. - Daniel Lacko; Toon Huysmans; Jochen Vleugels; Guido De Bruyne; Marc M. Van Hulle; Jan Sijbers; Stijn Verwulgen (Comput. Aided Des., 2017)

Mutual Information-Based Electrode Selection Extended With Prior Knowledge For Use in Brain-Computer Interfacing. - Ruben Moermans; Benjamin Wittevrongel; Marc M. Van Hulle (BIBM, 2018)

Decoding Steady-State Visual Evoked Potentials From Electrocorticography. - Benjamin Wittevrongel; Elvira Khachatryan; Mansoureh Fahimi Hnazaee; Flavio Camarrone; Evelien Carrette; Leen De Taeye; Alfred Meurs; Paul Boon 001; Dirk Van Roost; Marc M. Van Hulle (Frontiers Neuroinformatics, 2018)

Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials. - Marijn van Vliet; Marc M. Van Hulle; Riitta Salmelin (J. Cogn. Neurosci., 2018)

Representation of steady-state visual evoked potentials elicited by luminance flicker in human occipital cortex: An electrocorticography study. - Benjamin Wittevrongel; Elvira Khachatryan; Mansoureh Fahimi Hnazaee; Evelien Carrette; Leen De Taeye; Alfred Meurs; Paul Boon 001; Dirk Van Roost; Marc M. Van Hulle (NeuroImage, 2018)

Accurate Decoding of Short, Phase-Encoded SSVEPs. - Ahmed Youssef Ali Amer; Benjamin Wittevrongel; Marc M. Van Hulle (Sensors, 2018)

Monitoring temporal dynamics of steady-state visual evoked potentials. - Benjamin Wittevrongel; Marc M. Van Hulle (SMC, 2019)

Predicting Premature Video Skipping and Viewer Interest from EEG Recordings. - Arno Libert; Marc M. Van Hulle (Entropy, 2019)

Semantic and perceptual priming activate partially overlapping brain networks as revealed by direct cortical recordings in humans. - Elvira Khachatryan; Benjamin Wittevrongel; Mansoureh Fahimi Hnazaee; Evelien Carrette; Ine Dauwe; Alfred Meurs; Paul Boon 001; Dirk Van Roost; Marc M. Van Hulle (NeuroImage, 2019)

Fast Multiway Partial Least Squares Regression. - Flavio Camarrone; Marc M. Van Hulle (IEEE Trans. Biomed. Eng., 2019)

Predicting low gamma- from lower frequency band activity in electrocorticography. - Marc M. Van Hulle; Bob Van Dyck; Benjamin Wittevrongel; Flavio Camarrone; Ine Dauwe; Evelien Carrette; Alfred Meurs; Paul Boon 001; Dirk Van Roost (ESANN, 2020)

Single-Trial EEG Responses Classified Using Latency Features. - Irzam Hardiansyah; Valentina Pergher; Marc M. Van Hulle (Int. J. Neural Syst., 2020)

Localization of deep brain activity with scalp and subdural EEG. - Mansoureh Fahimi Hnazaee; Benjamin Wittevrongel; Elvira Khachatryan; Arno Libert; Evelien Carrette; Ine Dauwe; Alfred Meurs; Paul Boon 001; Dirk Van Roost; Marc M. Van Hulle (NeuroImage, 2020)

Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance. - Soheila Nazari; Masoud Amiri; Karim Faez; Marc M. Van Hulle (IEEE Trans. Neural Networks Learn. Syst., 2020)

Effect of stimulus direction on motion-onset visual evoked potentials decoded using spatiotemporal beamforming Abstract. - Arno Libert; Benjamin Wittevrongel; Marc M. Van Hulle (NER, 2021)

Accurate Offline Asynchronous Detection of Individual Finger Movement From Intracranial Brain Signals Using a Novel Multiway Approach. - Flavio Camarrone; Mariana P. Branco; Nick F. Ramsey; Marc M. Van Hulle (IEEE Trans. Biomed. Eng., 2021)

Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition. - Soheila Nazari; Alireza Keyanfar; Marc M. Van Hulle (Eng. Appl. Artif. Intell., 2022)

Alternating step size method for solving ill-posed linear operator equations in energetic space. - Oleg Matysik; Marc M. Van Hulle (J. Comput. Appl. Math., 2022)

Phase-Spatial Beamforming Renders a Visual Brain Computer Interface Capable of Exploiting EEG Electrode Phase Shifts in Motion-Onset Target Responses. - Arno Libert; Benjamin Wittevrongel; Flavio Camarrone; Marc M. Van Hulle (IEEE Trans. Biomed. Eng., 2022)

Decoding Auditory EEG Responses Using an Adapted Wavenet. - Bob Van Dyck; Liuyin Yang; Marc M. Van Hulle (ICASSP, 2023)

Real-Time Navigation in Google Street View® Using a Motor Imagery-Based BCI. - Liuyin Yang; Marc M. Van Hulle (Sensors, 2023)

A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks. - Masoud Amiri; Amir Homayoun Jafari; Bahador Makkiabadi; Soheila Nazari; Marc M. Van Hulle (Inf. Sci., 2023)

Single Finger Trajectory Prediction From Intracranial Brain Activity Using Block-Term Tensor Regression With Fast and Automatic Component Extraction. - Axel Faes; Flavio Camarrone; Marc M. Van Hulle (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the Impact of Proprioception in EEG Representations and Decoding During Human-Hand Exoskeleton Interaction. - Qiang Sun; Eva Calvo Merino; Liuyin Yang; Axel Faes; Marc M. Van Hulle (ICORR, 2025)