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2020 – today
- 2024
[j105]Axel Faes
, Flavio Camarrone, Marc M. Van Hulle:
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. 35(7): 8897-8908 (2024)- 2023
- [j104]Masoud Amiri, Amir Homayoun Jafari, Bahador Makkiabadi, Soheila Nazari, Marc M. Van Hulle:
A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks. Inf. Sci. 622: 1-15 (2023) - [j103]Liuyin Yang, Marc M. Van Hulle:
Real-Time Navigation in Google Street View® Using a Motor Imagery-Based BCI. Sensors 23(3): 1704 (2023) - [c60]Bob Van Dyck, Liuyin Yang, Marc M. Van Hulle:
Decoding Auditory EEG Responses Using an Adapted Wavenet. ICASSP 2023: 1-2 - 2022
- [j102]Soheila Nazari, Alireza Keyanfar, Marc M. Van Hulle:
Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition. Eng. Appl. Artif. Intell. 116: 105430 (2022) - [j101]Oleg Matysik, Marc M. Van Hulle:
Alternating step size method for solving ill-posed linear operator equations in energetic space. J. Comput. Appl. Math. 416: 114553 (2022) - [j100]Arno Libert, Benjamin Wittevrongel, Flavio Camarrone, Marc M. Van Hulle:
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. 69(5): 1802-1812 (2022) - 2021
- [j99]Flavio Camarrone, Mariana P. Branco, Nick F. Ramsey, Marc M. Van Hulle:
Accurate Offline Asynchronous Detection of Individual Finger Movement From Intracranial Brain Signals Using a Novel Multiway Approach. IEEE Trans. Biomed. Eng. 68(7): 2176-2187 (2021) - [c59]Arno Libert, Benjamin Wittevrongel, Marc M. Van Hulle:
Effect of stimulus direction on motion-onset visual evoked potentials decoded using spatiotemporal beamforming Abstract. NER 2021: 503-506 - 2020
- [j98]Irzam Hardiansyah, Valentina Pergher, Marc M. Van Hulle:
Single-Trial EEG Responses Classified Using Latency Features. Int. J. Neural Syst. 30(6): 2050033:1-2050033:23 (2020) - [j97]Mansoureh Fahimi Hnazaee, Benjamin Wittevrongel, Elvira Khachatryan, Arno Libert, Evelien Carrette, Ine Dauwe, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle:
Localization of deep brain activity with scalp and subdural EEG. NeuroImage 223: 117344 (2020) - [j96]Soheila Nazari, Masoud Amiri, Karim Faez, Marc M. Van Hulle:
Information Transmitted From Bioinspired Neuron-Astrocyte Network Improves Cortical Spiking Network's Pattern Recognition Performance. IEEE Trans. Neural Networks Learn. Syst. 31(2): 464-474 (2020) - [c58]Marc M. Van Hulle, Bob Van Dyck, Benjamin Wittevrongel, Flavio Camarrone, Ine Dauwe, Evelien Carrette, Alfred Meurs, Paul Boon, Dirk Van Roost:
Predicting low gamma- from lower frequency band activity in electrocorticography. ESANN 2020: 85-90
2010 – 2019
- 2019
- [j95]Arno Libert, Marc M. Van Hulle:
Predicting Premature Video Skipping and Viewer Interest from EEG Recordings. Entropy 21(10): 1014 (2019) - [j94]Elvira Khachatryan, Benjamin Wittevrongel, Mansoureh Fahimi Hnazaee, Evelien Carrette, Ine Dauwe, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle:
Semantic and perceptual priming activate partially overlapping brain networks as revealed by direct cortical recordings in humans. NeuroImage 203 (2019) - [j93]Flavio Camarrone, Marc M. Van Hulle:
Fast Multiway Partial Least Squares Regression. IEEE Trans. Biomed. Eng. 66(2): 433-443 (2019) - [c57]Benjamin Wittevrongel, Marc M. Van Hulle:
Monitoring temporal dynamics of steady-state visual evoked potentials. SMC 2019: 2725-2730 - 2018
- [j92]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:
Decoding Steady-State Visual Evoked Potentials From Electrocorticography. Frontiers Neuroinformatics 12: 65 (2018) - [j91]Marijn van Vliet, Marc M. Van Hulle, Riitta Salmelin:
Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials. J. Cogn. Neurosci. 30(3) (2018) - [j90]Benjamin Wittevrongel, Elvira Khachatryan, Mansoureh Fahimi Hnazaee, Evelien Carrette, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle:
Representation of steady-state visual evoked potentials elicited by luminance flicker in human occipital cortex: An electrocorticography study. NeuroImage 175: 315-326 (2018) - [j89]Ahmed Youssef Ali Amer, Benjamin Wittevrongel, Marc M. Van Hulle:
Accurate Decoding of Short, Phase-Encoded SSVEPs. Sensors 18(3): 794 (2018) - [c56]Ruben Moermans, Benjamin Wittevrongel, Marc M. Van Hulle:
Mutual Information-Based Electrode Selection Extended With Prior Knowledge For Use in Brain-Computer Interfacing. BIBM 2018: 2639-2644 - 2017
- [j88]Daniel Lacko, Toon Huysmans, Jochen Vleugels, Guido De Bruyne, Marc M. Van Hulle, Jan Sijbers, Stijn Verwulgen:
Product sizing with 3D anthropometry and k-medoids clustering. Comput. Aided Des. 91: 60-74 (2017) - [c55]Flavio Camarrone, Marc M. Van Hulle:
Fast algorithm for multiway regression. DSP 2017: 1-5 - [c54]Marie-Eve Joret, Marijn van Vliet, Flavio Camarrone, Marc M. Van Hulle:
How does the brain process mild versus strong violations in music? A pilot study using event-related potentials. DSP 2017: 1-5 - [c53]Mansoureh Fahimi Hnazaee, Marc M. Van Hulle:
Typicality effect on N400 ERP in categories despite differences in semantic processing. IJCNN 2017: 4379-4386 - 2016
- [j87]Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle:
Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach. Int. J. Neural Syst. 26(2): 1650005:1-1650005:15 (2016) - [j86]Benjamin Wittevrongel, Marc M. Van Hulle:
Faster P300 Classifier Training Using Spatiotemporal Beamforming. Int. J. Neural Syst. 26(3): 1650014:1-1650014:13 (2016) - [j85]Oleg Matysik, Marc M. Van Hulle:
Simple-iteration method with alternating step size for solving operator equations in Hilbert space. J. Comput. Appl. Math. 300: 290-299 (2016) - [j84]Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roelf Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle:
Single-Trial ERP Component Analysis Using a Spatiotemporal LCMV Beamformer. IEEE Trans. Biomed. Eng. 63(1): 55-66 (2016) - [c52]Flavio Camarrone, Marc M. Van Hulle:
Fully Bayesian tensor-based regression. MLSP 2016: 1-6 - [c51]Elvira Khachatryan, Nikolay Chumerin, Evelien Carrette, Flavio Camarrone, Leen De Taeye, Alfred Meurs, Paul Boon, Dirk Van Roost, Marc M. Van Hulle:
Cortical distribution of N400 potential in response to semantic priming with visual non-linguistic stimuli. SSP 2016: 1-5 - [c50]Benjamin Wittevrongel, Marc M. Van Hulle:
Hierarchical online SSVEP spelling achieved with spatiotemporal beamforming. SSP 2016: 1-5 - 2014
- [j83]Anderson Mora-Cortes, Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle:
Language Model Applications to Spelling with Brain-Computer Interfaces. Sensors 14(4): 5967-5993 (2014) - [c49]Elvira Khachatryan, Marijn van Vliet, Simon De Deyne, Gerrit Storms, Hovhannes Manvelyan, Marc M. Van Hulle:
Amplitude of N400 component unaffected by lexical priming for moderately constraining sentences. CIP 2014: 1-6 - [c48]Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle:
Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm. MLSP 2014: 1-5 - 2013
- [j82]Nikolay Chumerin, Nikolay V. Manyakov, Marijn van Vliet, Arne Robben, Adrien Combaz, Marc M. Van Hulle:
Steady-State Visual Evoked Potential-Based Computer Gaming on a Consumer-Grade EEG Device. IEEE Trans. Comput. Intell. AI Games 5(2): 100-110 (2013) - [c47]Patrick A. De Mazière, Marc M. Van Hulle:
Inter-document reference detection as an alternative to full text semantic analysis in document clustering. MLSP 2013: 1-6 - 2012
- [j81]Gert Van Dijck, Karsten Seidl, Oliver Paul, Patrick Ruther, Marc M. Van Hulle, Reinoud Maex:
Enhancing the Yield of High-Density electrode Arrays through Automated electrode Selection. Int. J. Neural Syst. 22(1): 1-19 (2012) - [j80]Karl Pauwels, Marc M. Van Hulle:
Head-Centric Disparity and Epipolar Geometry Estimation from a Population of Binocular Energy Neurons. Int. J. Neural Syst. 22(3) (2012) - [j79]Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle:
Multichannel Decoding for Phase-Coded SSVEP Brain-Computer Interface. Int. J. Neural Syst. 22(5) (2012) - [j78]Adrien Combaz, Nikolay Chumerin, Nikolay V. Manyakov, Arne Robben, Johan A. K. Suykens, Marc M. Van Hulle:
Towards the detection of error-related potentials and its integration in the context of a P300 speller brain-computer interface. Neurocomputing 80: 73-82 (2012) - [j77]Karl Pauwels, Matteo Tomasi, Javier Díaz Alonso, Eduardo Ros, Marc M. Van Hulle:
A Comparison of FPGA and GPU for Real-Time Phase-Based Optical Flow, Stereo, and Local Image Features. IEEE Trans. Computers 61(7): 999-1012 (2012) - [c46]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle:
Decoding SSVEP Responses based on Parafac Decomposition. BIOSIGNALS 2012: 443-447 - [c45]Nikolay V. Manyakov, Adrien Combaz, Nikolay Chumerin, Arne Robben, Marijn van Vliet, Marc M. Van Hulle:
Feasibility of Error-Related Potential Detection as Novelty Detection Problem in P300 Mind Spelling. ICAISC (2) 2012: 293-301 - [p2]Marc M. Van Hulle:
Self-organizing Maps. Handbook of Natural Computing 2012: 585-622 - 2011
- [j76]Jonas Poelmans, Marc M. Van Hulle, Stijn Viaene, Paul Elzinga, Guido Dedene:
Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence. Appl. Soft Comput. 11(4): 3870-3876 (2011) - [j75]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle:
Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Comput. Intell. Neurosci. 2011: 519868:1-519868:12 (2011) - [j74]Gert Van Dijck, Marc M. Van Hulle:
Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions. Entropy 13(7): 1403-1424 (2011) - [j73]Patrick A. De Mazière, Marc M. Van Hulle:
A clustering study of a 7000 EU document inventory using MDS and SOM. Expert Syst. Appl. 38(7): 8835-8849 (2011) - [j72]Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic:
The complex local mean decomposition. Neurocomputing 74(6): 867-875 (2011) - [j71]Gert Van Dijck, Marc M. Van Hulle:
Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals. Sensors 11(6): 5695-5715 (2011) - [j70]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:
The Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car. IEEE Trans. Intell. Transp. Syst. 12(4): 1135-1146 (2011) - [j69]Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic:
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Trans. Neural Networks 22(1): 74-83 (2011) - [j68]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:
Performance of Correspondence Algorithms in Vision-Based Driver Assistance Using an Online Image Sequence Database. IEEE Trans. Veh. Technol. 60(5): 2012-2026 (2011) - [c44]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle:
Comparison of Linear Classification Methods for P300 Brain-computer Interface on Disabled Subjects. BIOSIGNALS 2011: 328-334 - [c43]Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle:
Subject-adaptive steady-state visual evoked potential detection for brain-computer interface. IDAACS (1) 2011: 369-373 - [c42]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle:
Decoding Phase-Based Information from Steady-State Visual Evoked Potentials with Use of Complex-Valued Neural Network. IDEAL 2011: 135-143 - [c41]Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle:
Steady State Visual Evoked Potential Based Computer Gaming - The Maze. INTETAIN 2011: 28-37 - [c40]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Patrick A. De Mazière, Marc M. Van Hulle:
Brain-computer interface research at Katholieke Universiteit Leuven. ISABEL 2011: 67:1-67:5 - [c39]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marijn van Vliet, Marc M. Van Hulle:
Decoding phase-based information from SSVEP recordings: A comparative study. MLSP 2011: 1-6 - [c38]Arne Robben, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Marijn van Vliet, Marc M. Van Hulle:
Combining object detection and brain computer interfacing: Towards a new way of subject-environment interaction. MLSP 2011: 1-6 - 2010
- [j67]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger:
A compact harmonic code for early vision based on anisotropic frequency channels. Comput. Vis. Image Underst. 114(6): 681-699 (2010) - [j66]Gert Van Dijck, Marc M. Van Hulle:
Increasing and Decreasing Returns and Losses in Mutual Information Feature Subset Selection. Entropy 12(10): 2144-2170 (2010) - [j65]Nikolay V. Manyakov, Marc M. Van Hulle:
Decoding Grating Orientation from microelectrode Array Recordings in Monkey Cortical Area V4. Int. J. Neural Syst. 20(2): 95-108 (2010) - [j64]Nikolay Chumerin, Agostino Gibaldi, Silvio P. Sabatini, Marc M. Van Hulle:
Learning Eye Vergence Control from a Distributed Disparity Representation. Int. J. Neural Syst. 20(4): 267-278 (2010) - [j63]Lars Baunegaard With Jensen, Anders Kjær-Nielsen, Karl Pauwels, Jeppe Barsøe Jessen, Marc M. Van Hulle, Norbert Krüger:
A two-level real-time vision machine combining coarse- and fine-grained parallelism. J. Real Time Image Process. 5(4): 291-304 (2010) - [j62]Nikolay V. Manyakov, Rufin Vogels, Marc M. Van Hulle:
Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. IEEE Trans. Neural Networks 21(12): 1892-1902 (2010) - [c37]Nikolay V. Manyakov, Jonas Poelmans, Rufin Vogels, Marc M. Van Hulle:
Combining ESOMs Trained on a Hierarchy of Feature Subsets for Single-Trial Decoding of LFP Responses in Monkey Area V4. ICAISC (2) 2010: 548-555 - [c36]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:
Toward Automated Electrode Selection in the Electronic Depth Control Strategy for Multi-unit Recordings. ICONIP (2) 2010: 17-25 - [c35]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Marc M. Van Hulle:
Decoding SSVEP Responses using Time Domain Classification. IJCCI (ICFC-ICNC) 2010: 376-380 - [c34]Nicolas Pugeault, Karl Pauwels, Marc M. Van Hulle, Florian Pilz, Norbert Krüger:
A Three-level Architecture for Model-free Detection and Tracking of Independently Moving Objects. VISAPP (1) 2010: 237-244
2000 – 2009
- 2009
- [j61]Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle:
Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks. Artif. Intell. Medicine 46(3): 233-249 (2009) - [j60]Jonas Poelmans, Paul Elzinga, Stijn Viaene, Marc M. Van Hulle, Guido Dedene:
Gaining insight in domestic violence with Emergent Self Organizing Maps. Expert Syst. Appl. 36(9): 11864-11874 (2009) - [j59]Gert Van Dijck, Martine Wevers, Marc M. Van Hulle:
Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals. Int. J. Wavelets Multiresolution Inf. Process. 7(4): 513-534 (2009) - [j58]Karl Pauwels, Marc M. Van Hulle:
Optic flow from unstable sequences through local velocity constancy maximization. Image Vis. Comput. 27(5): 579-587 (2009) - [j57]Filip Deleus, Marc M. Van Hulle:
A Connectivity-Based Method for Defining Regions-of-Interest in fMRI Data. IEEE Trans. Image Process. 18(8): 1760-1771 (2009) - [c33]Jonas Poelmans, Paul Elzinga, Stijn Viaene, Marc M. Van Hulle, Guido Dedene:
How Emergent Self Organizing Maps Can Help Counter Domestic Violence. CSIE (4) 2009: 126-136 - [c32]Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumerin, Johan A. K. Suykens, Marc M. Van Hulle:
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling. ICMLA 2009: 386-391 - [c31]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:
P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface. KI 2009: 339-346 - [c30]Emre Baseski, Lars Baunegaard With Jensen, Nicolas Pugeault, Florian Pilz, Karl Pauwels, Marc M. Van Hulle, Florentin Wörgötter, Norbert Krüger:
Road Interpretation for Driver Assistance based on an Early Cognitive Vision System. VISAPP (1) 2009: 496-505 - [c29]Jonas Poelmans, Paul Elzinga, Stijn Viaene, Guido Dedene, Marc M. Van Hulle:
Analyzing Domestic Violence with Topographic Maps: A Comparative Study. WSOM 2009: 246-254 - 2008
- [j56]Marc M. Van Hulle, Jan Larsen:
Machine Learning for Signal Processing. Neurocomputing 72(1-3): 1-2 (2008) - [j55]Marc M. Van Hulle:
Constrained Subspace ICA Based on Mutual Information Optimization Directly. Neural Comput. 20(4): 964-973 (2008) - [j54]Marc M. Van Hulle:
Sequential Fixed-Point ICA Based on Mutual Information Minimization. Neural Comput. 20(5): 1344-1365 (2008) - [c28]Karl Pauwels, Marc M. Van Hulle:
Realtime phase-based optical flow on the GPU. CVPR Workshops 2008: 1-8 - [p1]Marc M. Van Hulle:
Kernel-Based Topographic Maps: Theory and Applications. Wiley Encyclopedia of Computer Science and Engineering 2008 - 2007
- [j53]Norbert Krüger, Florentin Wörgötter, Marc M. Van Hulle:
Editorial: ECOVISION: Challenges in Early-Cognitive Vision. Int. J. Comput. Vis. 72(1): 5-7 (2007) - [j52]Karl Pauwels, Markus Lappe, Marc M. Van Hulle:
Fixation as a Mechanism for Stabilization of Short Image Sequences. Int. J. Comput. Vis. 72(1): 67-78 (2007) - [c27]Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle:
Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients. AAAI 2007: 347-353 - [c26]Nikolay V. Manyakov, Marc M. Van Hulle:
Causality analysis of LFPs in micro-electrode arrays based on mutual information. ESANN 2007: 447-452 - [c25]Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle:
Information Theoretic Derivations for Causality Detection: Application to Human Gait. ICANN (2) 2007: 159-168 - [c24]Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh:
A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation. ICDM 2007: 673-678 - [c23]George Souretis, Danilo P. Mandic, Massimo Grisseli, Toshihisa Tanaka, Marc M. Van Hulle:
Blood Volume Signal Analysis with Empirical Mode Decomposition. DSP 2007: 147-150 - [c22]Gert Van Dijck, Marc M. Van Hulle:
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. PKDD 2007: 277-287 - [c21]Silvio P. Sabatini, Giulia Gastaldi, Fabio Solari, Karl Pauwels, Marc M. Van Hulle, Javier Díaz, Eduardo Ros, Nicolas Pugeault, Norbert Krüger:
Compact (and accurate) early vision processing in the harmonic space. VISAPP (1) 2007: 213-220 - 2006
- [j51]Karl Pauwels, Marc M. Van Hulle:
Optimal instantaneous rigid motion estimation insensitive to local minima. Comput. Vis. Image Underst. 104(1): 77-86 (2006) - [j50]Marc M. Van Hulle:
Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures. Neural Comput. 18(2): 430-445 (2006) - [j49]Marc M. Van Hulle:
Topographic map formation of factorized Edgeworth-expanded kernels. Neural Networks 19(6-7): 744-750 (2006) - [j48]Temujin Gautama, Marc M. Van Hulle:
Batch map extensions of the kernel-based maximum entropy learning rule. IEEE Trans. Neural Networks 17(2): 529-532 (2006) - [c20]Karl Pauwels, Marc M. Van Hulle:
Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization. BMVC 2006: 397-406 - [c19]Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh:
Statistically Rigorous Human Movement Onset Detection with the Maximal Information Redundancy Criterion. EMBC 2006: 2474-2477 - [c18]Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh:
Hybrid Feature Subset Selection for the Quantitative Assessment of Skills of Stroke Patients in Activity of Daily Living Tasks. EMBC 2006: 5699-5703 - [c17]Gert Van Dijck, Marc M. Van Hulle:
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis. ICANN (1) 2006: 31-40 - [c16]Gert Van Dijck, Marc M. Van Hulle:
Onset Detection through Maximal Redundancy Detection. ICPR (1) 2006: 945-949 - 2005
- [j47]Marc M. Van Hulle, Jan Larsen:
Neural Networks in Signal Processing. Neurocomputing 69(1-3): 1-2 (2005) - [j46]Marc M. Van Hulle:
Maximum Likelihood Topographic Map Formation. Neural Comput. 17(3): 503-513 (2005) - [j45]Marc M. Van Hulle:
Edgeworth-Expanded Gaussian Mixture Density Modeling. Neural Comput. 17(8): 1706-1714 (2005) - [j44]Marc M. Van Hulle:
Edgeworth Approximation of Multivariate Differential Entropy. Neural Comput. 17(9): 1903-1910 (2005) - [j43]Temujin Gautama, Marc M. Van Hulle:
Estimating the global order of the fMRI noise model. NeuroImage 26(4): 1211-1217 (2005) - [j42]Marc M. Van Hulle:
Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood. Signal Process. 85(5): 951-963 (2005) - [c15]Karl Pauwels, Marc M. Van Hulle:
Robust Instantaneous Rigid Motion Estimation. CVPR (2) 2005: 980-985 - [c14]Mo Chen, Danilo P. Mandic, Temujin Gautama, Marc M. Van Hulle:
On nonlinear modular neural filters. ICASSP (5) 2005: 317-320 - 2004
- [j41]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A non-parametric test for detecting the complex-valued nature of time series. Int. J. Knowl. Based Intell. Eng. Syst. 8(2): 99-106 (2004) - [j40]Florentin Wörgötter, Norbert Krüger, Nicolas Pugeault, Dirk Calow, Markus Lappe, Karl Pauwels, Marc M. Van Hulle, Sovira Tan, Alan Johnston:
Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing. Nat. Comput. 3(3): 293-321 (2004) - [j39]Temujin Gautama, Marc M. Van Hulle:
Optimal spatial regularisation of autocorrelation estimates in fMRI analysis. NeuroImage 23(3): 1203-1216 (2004) - [j38]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A novel method for determining the nature of time series. IEEE Trans. Biomed. Eng. 51(5): 728-736 (2004) - [j37]Marc M. Van Hulle:
Entropy-based kernel mixture modeling for topographic map formation. IEEE Trans. Neural Networks 15(4): 850-858 (2004) - [j36]David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle:
Guest Editorial for Special Issue on Machine Learning for Signal Processing. J. VLSI Signal Process. 37(2-3): 171-175 (2004) - [j35]Marc M. Van Hulle, Temujin Gautama:
Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes. J. VLSI Signal Process. 37(2-3): 211-222 (2004) - [c13]Gert Van Dijck, Marc M. Van Hulle, Martine Wevers:
Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a real-case Application. International Conference on Computational Intelligence 2004: 34-38 - [c12]Gert Van Dijck, Martine Wevers, Marc M. Van Hulle:
Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation. International Conference on Computational Intelligence 2004: 39-43 - 2003
- [j34]Filip Deleus, Marc M. Van Hulle:
Monitoring elasticity between science and technology domains and its visualization. Scientometrics 56(1): 147-160 (2003) - [j33]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. IEEE Trans. Medical Imaging 22(5): 636-644 (2003) - [c11]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A differential entropy based method for determining the optimal embedding parameters of a signal. ICASSP (6) 2003: 29-32 - [c10]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series. KES 2003: 1364-1371 - [c9]Temujin Gautama, Marc M. Van Hulle:
Surrogate-based test for Granger causality. NNSP 2003: 799-808 - 2002
- [j32]Marc M. Van Hulle:
Kernel-Based Topographic Map Formation by Local Density Modeling. Neural Comput. 14(7): 1561-1573 (2002) - [j31]Marc M. Van Hulle:
Joint Entropy Maximization in Kernel-Based Topographic Maps. Neural Comput. 14(8): 1887-1906 (2002) - [j30]Marc M. Van Hulle:
Kernel-based topographic map formation achieved with an information-theoretic approach. Neural Networks 15(8-9): 1029-1039 (2002) - [j29]Temujin Gautama, Marc M. Van Hulle:
A phase-based approach to the estimation of the optical flow field using spatial filtering. IEEE Trans. Neural Networks 13(5): 1127-1136 (2002) - [j28]Marc M. Van Hulle:
Blind Source Separation and Equiprobabilistic Topographic Maps. J. VLSI Signal Process. 31(1): 19-30 (2002) - [j27]Marc M. Van Hulle, Jan Larsen, Tülay Adali:
Guest Editors' Introduction. J. VLSI Signal Process. 32(1-2): 5-6 (2002) - [j26]Marc M. Van Hulle, Temujin Gautama:
Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals. J. VLSI Signal Process. 32(1-2): 119-134 (2002) - [c8]Filip Deleus, Patrick A. De Mazière, Marc M. Van Hulle:
Functional connectivity modelling in fMRI based on causal networks. NNSP 2002: 119-128 - [c7]Marc M. Van Hulle:
Kernel-based topographic map formation achieved with normalized Gaussian competition. NNSP 2002: 169-178 - [c6]Radu Mutihac, Marc M. Van Hulle:
Neural network implementations of independent component analysis. NNSP 2002: 505-514 - 2001
- [c5]Marc M. Van Hulle:
Towards an information-theoretic approach to kernel-based topographic map formation. WSOM 2001: 1-6 - 2000
- [j25]Tülay Adali, Marc M. Van Hulle, Mahasan Niranjan:
Guest Editors' Introduction. J. VLSI Signal Process. 26(1-2): 5-6 (2000) - [j24]Marc M. Van Hulle:
Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps. J. VLSI Signal Process. 26(1-2): 79-94 (2000) - [c4]Patrick A. De Mazière, Marc M. Van Hulle:
Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans. NCPW 2000: 33-42
1990 – 1999
- 1999
- [j23]Marc M. Van Hulle:
Faithful representations with topographic maps. Neural Networks 12(6): 803-823 (1999) - [j22]Temujin Gautama, Marc M. Van Hulle:
Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. Neural Process. Lett. 10(2): 131-137 (1999) - [j21]Marc M. Van Hulle:
Density-based clustering with topographic maps. IEEE Trans. Neural Networks 10(1): 204-207 (1999) - 1998
- [j20]Lin Liu, Marc M. Van Hulle:
Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion. Neural Comput. 10(2): 295-312 (1998) - [j19]Marc M. Van Hulle:
Kernel-Based Equiprobable Topographic Map Formation. Neural Comput. 10(7): 1847-1871 (1998) - [j18]Steven Raekelboom, Marc M. Van Hulle:
The Softmap Algorithm. Neural Process. Lett. 8(2): 181-192 (1998) - [j17]Marc M. Van Hulle:
Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image Processing. J. VLSI Signal Process. 18(3): 275-285 (1998) - 1997
- [j16]Marc M. Van Hulle:
Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs. Biol. Cybern. 77(1): 49-61 (1997) - [j15]Marc M. Van Hulle:
The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals. Neural Comput. 9(3): 595-606 (1997) - [j14]Marc M. Van Hulle:
Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. Neural Networks 10(3): 431-446 (1997) - [j13]Marc M. Van Hulle:
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. 45(11): 2663-2672 (1997) - 1996
- [j12]Marc M. Van Hulle:
Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis. Neural Process. Lett. 4(2): 97-105 (1996) - [j11]Marc M. Van Hulle:
Topographic map formation by maximizing unconditional entropy: a plausible strategy for "online" unsupervised competitive learning and nonparametric density estimation. IEEE Trans. Neural Networks 7(5): 1299-1305 (1996) - 1995
- [j10]Dominique Martinez, Marc M. Van Hulle:
Generalized boundary adaptation rule for minimizing rth power law distortion in high resolution quantization. Neural Networks 8(6): 891-900 (1995) - [c3]Marc M. Van Hulle:
Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancelling. ICNN 1995: 860-864 - [c2]Danny Roobaert, Marc M. Van Hulle:
A natural object recognition system using Self-organizing Translation-Invariant Maps. SNN Symposium on Neural Networks 1995: 151-154 - 1994
- [j9]Tom Tollenaere, J. Miguel Saraiva, Marc M. Van Hulle:
Massive MIMD neural network simulations: The connections dilemma. Concurr. Pract. Exp. 6(3): 153-191 (1994) - [j8]Marc M. Van Hulle, Dominique Martinez:
On a novel unsupervised competitive learning algorithm for scalar quantization. IEEE Trans. Neural Networks 5(3): 498-501 (1994) - 1993
- [j7]Marc M. Van Hulle, Dominique Martinez:
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle. Neural Comput. 5(6): 939-953 (1993) - [j6]Marc M. Van Hulle, Tom Tollenaere:
A modular artificial neural network for texture processing. Neural Networks 6(1): 7-32 (1993) - [c1]Marc M. Van Hulle:
An unsupervised learning rule for vector normalization and gain control. ICNN 1993: 1202-1206 - 1992
- [j5]Tom Tollenaere, Marc M. Van Hulle, Guy A. Orban:
Parallel Implementation and Capabilities of Entropy-Driven Artifical Neural Networks. J. Parallel Distributed Comput. 14(3): 286-305 (1992) - 1991
- [j4]Marc M. Van Hulle:
A goal programming network for linear programming. Biol. Cybern. 65(4): 243-252 (1991) - [j3]Marc M. Van Hulle:
A Goal Programming Network for Mixed Integer Linear Programming: a CaseStudy for the Job-Shop Scheduling Problem. Int. J. Neural Syst. 2(3): 201-209 (1991) - [j2]Marc M. Van Hulle, Guy A. Orban:
Representation and processing in a stochastic neural network: An integrated approach. Neural Networks 4(5): 643-655 (1991)
1980 – 1989
- 1989
- [j1]Marc M. Van Hulle, Guy A. Orban:
Entropy Driven Artificial Neuronal Networks and Sensorial Representation: A Proposal. J. Parallel Distributed Comput. 6(2): 264-290 (1989)
Coauthor Index
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