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Marc M. Van Hulle
2010 – today
- 2013
[j77]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. Intellig. and AI in Games 5(2): 100-110 (2013)- 2012
[j76]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)
[j75]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)
[j74]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)
[j73]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)
[j72]Karl Pauwels, Matteo Tomasi, Javier Diaz 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)
[c28]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
[c27]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- 2011
[j71]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)
[j70]Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Marc M. Van Hulle: Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects. Comp. Int. and Neurosc. 2011 (2011)
[j69]Gert Van Dijck, Marc M. Van Hulle: Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions. Entropy 13(7): 1403-1424 (2011)
[j68]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)
[j67]Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic: The complex local mean decomposition. Neurocomputing 74(6): 867-875 (2011)
[j66]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 Transactions on Intelligent Transportation Systems 12(4): 1135-1146 (2011)
[j65]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 Transactions on Neural Networks 22(1): 74-83 (2011)
[j64]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 T. Vehicular Technology 60(5): 2012-2026 (2011)
[c26]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
[c25]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
[c24]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
[c23]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- 2010
[j63]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. Computer Vision and Image Understanding 114(6): 681-699 (2010)
[j62]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)
[j61]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)
[j60]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)
[j59]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 Processing 5(4): 291-304 (2010)
[j58]Nikolay V. Manyakov, Rufin Vogels, Marc M. Van Hulle: Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. IEEE Transactions on Neural Networks 21(12): 1892-1902 (2010)
[c22]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
[c21]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
[c20]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
[c19]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
[j57]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. Artificial Intelligence in Medicine 46(3): 233-249 (2009)
[j56]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)
[j55]Gert Van Dijck, Martine Wevers, Marc M. Van Hulle: Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals. IJWMIP 7(4): 513-534 (2009)
[j54]Karl Pauwels, Marc M. Van Hulle: Optic flow from unstable sequences through local velocity constancy maximization. Image Vision Comput. 27(5): 579-587 (2009)
[j53]Filip Deleus, Marc M. Van Hulle: A Connectivity-Based Method for Defining Regions-of-Interest in fMRI Data. IEEE Transactions on Image Processing 18(8): 1760-1771 (2009)
[c18]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
[c17]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
[c16]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
[c15]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
[c14]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
[j52]Marc M. Van Hulle, Jan Larsen: Machine Learning for Signal Processing. Neurocomputing 72(1-3): 1-2 (2008)
[j51]Marc M. Van Hulle: Constrained Subspace ICA Based on Mutual Information Optimization Directly. Neural Computation 20(4): 964-973 (2008)
[j50]Marc M. Van Hulle: Sequential Fixed-Point ICA Based on Mutual Information Minimization. Neural Computation 20(5): 1344-1365 (2008)
[p1]Marc M. Van Hulle: Kernel-Based Topographic Maps: Theory and Applications. Wiley Encyclopedia of Computer Science and Engineering 2008- 2007
[j49]Norbert Krüger, Florentin Wörgötter, Marc M. Van Hulle: Editorial: ECOVISION: Challenges in Early-Cognitive Vision. International Journal of Computer Vision 72(1): 5-7 (2007)
[j48]Karl Pauwels, Markus Lappe, Marc M. Van Hulle: Fixation as a Mechanism for Stabilization of Short Image Sequences. International Journal of Computer Vision 72(1): 67-78 (2007)
[c13]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
[c12]Nikolay V. Manyakov, Marc M. Van Hulle: Causality analysis of LFPs in micro-electrode arrays based on mutual information. ESANN 2007: 447-452
[c11]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
[c10]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
[c9]Gert Van Dijck, Marc M. Van Hulle: Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. PKDD 2007: 277-287
[c8]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
[j47]Karl Pauwels, Marc M. Van Hulle: Optimal instantaneous rigid motion estimation insensitive to local minima. Computer Vision and Image Understanding 104(1): 77-86 (2006)
[j46]Marc M. Van Hulle: Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures. Neural Computation 18(2): 430-445 (2006)
[j45]Marc M. Van Hulle: Topographic map formation of factorized Edgeworth-expanded kernels. Neural Networks 19(6-7): 744-750 (2006)
[j44]Temujin Gautama, Marc M. Van Hulle: Batch map extensions of the kernel-based maximum entropy learning rule. IEEE Transactions on Neural Networks 17(2): 529-532 (2006)
[c7]Karl Pauwels, Marc M. Van Hulle: Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization. BMVC 2006: 397-406
[c6]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
[c5]Gert Van Dijck, Marc M. Van Hulle: Onset Detection through Maximal Redundancy Detection. ICPR (1) 2006: 945-949- 2005
[j43]Marc M. Van Hulle, Jan Larsen: Neural Networks in Signal Processing. Neurocomputing 69(1-3): 1-2 (2005)
[j42]Marc M. Van Hulle: Maximum Likelihood Topographic Map Formation. Neural Computation 17(3): 503-513 (2005)
[j41]Marc M. Van Hulle: Edgeworth-Expanded Gaussian Mixture Density Modeling. Neural Computation 17(8): 1706-1714 (2005)
[j40]Marc M. Van Hulle: Edgeworth Approximation of Multivariate Differential Entropy. Neural Computation 17(9): 1903-1910 (2005)
[j39]Marc M. Van Hulle: Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood. Signal Processing 85(5): 951-963 (2005)
[c4]Karl Pauwels, Marc M. Van Hulle: Robust Instantaneous Rigid Motion Estimation. CVPR (2) 2005: 980-985- 2004
[j38]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle: A non-parametric test for detecting the complex-valued nature of time series. KES Journal 8(2): 99-106 (2004)
[j37]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. Natural Computing 3(3): 293-321 (2004)
[j36]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle: A novel method for determining the nature of time series. IEEE Trans. Biomed. Engineering 51(5): 728-736 (2004)
[j35]Marc M. Van Hulle: Entropy-based kernel mixture modeling for topographic map formation. IEEE Transactions on Neural Networks 15(4): 850-858 (2004)
[j34]David J. Miller, Tülay Adali, Jan Larsen, Marc M. Van Hulle: Guest Editorial for Special Issue on Machine Learning for Signal Processing. VLSI Signal Processing 37(2-3): 171-175 (2004)
[j33]Marc M. Van Hulle, Temujin Gautama: Optimal Smoothing of Kernel-Based Topographic Maps with Application to Density-Based Clustering of Shapes. VLSI Signal Processing 37(2-3): 211-222 (2004)
[c3]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
[c2]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
[j32]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle: Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. IEEE Trans. Med. Imaging 22(5): 636-644 (2003)
[c1]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- 2002
[j31]Marc M. Van Hulle: Kernel-Based Topographic Map Formation by Local Density Modeling. Neural Computation 14(7): 1561-1573 (2002)
[j30]Marc M. Van Hulle: Joint Entropy Maximization in Kernel-Based Topographic Maps. Neural Computation 14(8): 1887-190 (2002)
[j29]Marc M. Van Hulle: Kernel-based topographic map formation achieved with an information-theoretic approach. Neural Networks 15(8-9): 1029-1039 (2002)
[j28]Temujin Gautama, Marc M. Van Hulle: A phase-based approach to the estimation of the optical flow field using spatial filtering. IEEE Transactions on Neural Networks 13(5): 1127-1136 (2002)
[j27]Marc M. Van Hulle: Blind Source Separation and Equiprobabilistic Topographic Maps. VLSI Signal Processing 31(1): 19-30 (2002)
[j26]Marc M. Van Hulle, Jan Larsen, Tülay Adali: Guest Editors' Introduction. VLSI Signal Processing 32(1-2): 5-6 (2002)
[j25]Marc M. Van Hulle, Temujin Gautama: Monitoring the Formation of Kernel-Based Topographic Maps with Application to Hierarchical Clustering of Music Signals. VLSI Signal Processing 32(1-2): 119-134 (2002)- 2000
[j24]Tülay Adali, Marc M. Van Hulle, Mahasan Niranjan: Guest Editors' Introduction. VLSI Signal Processing 26(1-2): 5-6 (2000)
[j23]Marc M. Van Hulle: Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps. VLSI Signal Processing 26(1-2): 79-94 (2000)
1990 – 1999
- 1999
[j22]Marc M. Van Hulle: Faithful representations with topographic maps. Neural Networks 12(6): 803-823 (1999)
[j21]Temujin Gautama, Marc M. Van Hulle: Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. Neural Processing Letters 10(2): 131-137 (1999)
[j20]Marc M. Van Hulle: Density-based clustering with topographic maps. IEEE Transactions on Neural Networks 10(1): 204-207 (1999)- 1998
[j19]Lin Liu, Marc M. Van Hulle: Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion. Neural Computation 10(2): 295-312 (1998)
[j18]Marc M. Van Hulle: Kernel-Based Equiprobable Topographic Map Formation. Neural Computation 10(7): 1847-1871 (1998)
[j17]Steven Raekelboom, Marc M. Van Hulle: The Softmap Algorithm. Neural Processing Letters 8(2): 181-192 (1998)
[j16]Marc M. Van Hulle: Nonparametric Regression Modeling with Equiprobable Topographic Maps and Projection Pursuit Learning with Application to PET Image Processing. VLSI Signal Processing 18(3): 275-285 (1998)- 1997
[j15]Marc M. Van Hulle: Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs. Biological Cybernetics 77(1): 49-61 (1997)
[j14]Marc M. Van Hulle: The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals. Neural Computation 9(3): 595-606 (1997)
[j13]Marc M. Van Hulle: Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. Neural Networks 10(3): 431-446 (1997)
[j12]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 Transactions on Signal Processing 45(11): 2663-2672 (1997)- 1996
[j11]Marc M. Van Hulle: Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis. Neural Processing Letters 4(2): 97-105 (1996)
[j10]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 Netw. Learning Syst. 7(5): 1299-1305 (1996)- 1995
[j9]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)- 1994
[j8]Tom Tollenaere, J. Miguel Saraiva, Marc M. Van Hulle: Massive MIMD neural network simulations: The connections dilemma. Concurrency - Practice and Experience 6(3): 153-191 (1994)- 1993
[j7]Marc M. Van Hulle, Dominique Martinez: On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle. Neural Computation 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)- 1992
[j5]Tom Tollenaere, Marc M. Van Hulle, Guy A. Orban: Parallel Implementation and Capabilities of Entropy-Driven Artifical Neural Networks. J. Parallel Distrib. Comput. 14(3): 286-305 (1992)- 1991
[j4]Marc M. Van Hulle: A goal programming network for linear programming. Biological Cybernetics 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 Distrib. Comput. 6(2): 264-290 (1989)
Coauthor Index
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last updated on 2013-06-18 22:39 CEST by the dblp team



