Marc M. Van Hulle

	2009
63		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
62		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. VISSAPP (1) 2009: 496-505
61		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
60		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)
59		Karl Pauwels, Marc M. Van Hulle: Optic flow from unstable sequences through local velocity constancy maximization. Image Vision Comput. 27(5): 579-587 (2009)
	2008
58		Marc M. Van Hulle: Kernel-Based Topographic Maps: Theory and Applications. Wiley Encyclopedia of Computer Science and Engineering 2008
57		Marc M. Van Hulle: Constrained Subspace ICA Based on Mutual Information Optimization Directly. Neural Computation 20(4): 964-973 (2008)
56		Marc M. Van Hulle: Sequential Fixed-Point ICA Based on Mutual Information Minimization. Neural Computation 20(5): 1344-1365 (2008)
55		Marc M. Van Hulle, Jan Larsen: Machine Learning for Signal Processing. Neurocomputing 72(1-3): 1-2 (2008)
	2007
54		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
53		Nikolay V. Manyakov, Marc M. Van Hulle: Causality analysis of LFPs in micro-electrode arrays based on mutual information. ESANN 2007: 447-452
52		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
51		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
50		Gert Van Dijck, Marc M. Van Hulle: Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. PKDD 2007: 277-287
49		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
48		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)
47		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)
	2006
46		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
45		Gert Van Dijck, Marc M. Van Hulle: Onset Detection through Maximal Redundancy Detection. ICPR (1) 2006: 945-949
44		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)
43		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)
42		Marc M. Van Hulle: Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures. Neural Computation 18(2): 430-445 (2006)
41		Marc M. Van Hulle: Topographic map formation of factorized Edgeworth-expanded kernels. Neural Networks 19(6-7): 744-750 (2006)
	2005
40		Karl Pauwels, Marc M. Van Hulle: Robust Instantaneous Rigid Motion Estimation. CVPR (2) 2005: 980-985
39		Marc M. Van Hulle: Maximum Likelihood Topographic Map Formation. Neural Computation 17(3): 503-513 (2005)
38		Marc M. Van Hulle: Edgeworth-Expanded Gaussian Mixture Density Modeling. Neural Computation 17(8): 1706-1714 (2005)
37		Marc M. Van Hulle: Edgeworth Approximation of Multivariate Differential Entropy. Neural Computation 17(9): 1903-1910 (2005)
36		Marc M. Van Hulle, Jan Larsen: Neural Networks in Signal Processing. Neurocomputing 69(1-3): 1-2 (2005)
35		Marc M. Van Hulle: Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood. Signal Processing 85(5): 951-963 (2005)
	2004
34		Gert Van Dijck, Marc M. Van Hulle, M. 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
33		Gert Van Dijck, M. 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
32		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)
31		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)
30		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)
29		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)
	2003
28		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
27		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)
	2002
26		Marc M. Van Hulle: Kernel-Based Topographic Map Formation by Local Density Modeling. Neural Computation 14(7): 1561-1573 (2002)
25		Marc M. Van Hulle: Joint Entropy Maximization in Kernel-Based Topographic Maps. Neural Computation 14(8): 1887-190 (2002)
24		Marc M. Van Hulle: Kernel-based topographic map formation achieved with an information-theoretic approach. Neural Networks 15(8-9): 1029-1039 (2002)
23		Marc M. Van Hulle: Blind Source Separation and Equiprobabilistic Topographic Maps. VLSI Signal Processing 31(1): 19-30 (2002)
22		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)
21		Marc M. Van Hulle, Jan Larsen, Tülay Adali: Guest Editors' Introduction. VLSI Signal Processing 32(1-2): 5-6 (2002)
	2000
20		Tülay Adali, Marc M. Van Hulle, Mahasan Niranjan: Guest Editors' Introduction. VLSI Signal Processing 26(1-2): 5-6 (2000)
19		Marc M. Van Hulle: Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps. VLSI Signal Processing 26(1-2): 79-94 (2000)
	1999
18		Marc M. Van Hulle: Density-based clustering with topographic maps. IEEE Transactions on Neural Networks 10(1): 204-207 (1999)
17		Marc M. Van Hulle: Faithful representations with topographic maps. Neural Networks 12(6): 803-823 (1999)
16		Temujin Gautama, Marc M. Van Hulle: Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. Neural Processing Letters 10(2): 131-137 (1999)
	1998
15		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)
14		Marc M. Van Hulle: Kernel-Based Equiprobable Topographic Map Formation. Neural Computation 10(7): 1847-1871 (1998)
13		Steven Raekelboom, Marc M. Van Hulle: The Softmap Algorithm. Neural Processing Letters 8(2): 181-192 (1998)
12		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
11		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)
10		Marc M. Van Hulle: Topology-preserving Map Formation Achieved with a Purely Local Unsupervised Competitive Learning Rule. Neural Networks 10(3): 431-446 (1997)
	1996
9		Marc M. Van Hulle: Combining Topographic Map Formation with Projection Pursuit Learning for Nonparametric Regression Analysis. Neural Processing Letters 4(2): 97-105 (1996)
	1995
8		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
7		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
6		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)
5		Marc M. Van Hulle, Tom Tollenaere: A modular artificial neural network for texture processing. Neural Networks 6(1): 7-32 (1993)
	1992
4		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
3		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)
2		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)
	1989
1		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

1	Tülay Adali	[20] [21] [30]
2	Emre Baseski	[62]
3	Dirk Calow	[31]
4	Nikolay Chumerin	[63]
5	Adrien Combaz	[63]
6	Guido Dedene	[60] [61]
7	Javier Díaz	[49]
8	Gert Van Dijck	[33] [34] [45] [46] [50] [51] [52] [54]
9	Paul Elzinga	[60] [61]
10	Giulia Gastaldi	[49]
11	Temujin Gautama	[16] [22] [27] [28] [29] [32] [43]
12	Chris Van Hoof	[63]
13	Lars Baunegaard With Jensen	[62]
14	Alan Johnston	[31]
15	Norbert Krüger	[31] [48] [49] [62]
16	Markus Lappe	[31] [47]
17	Jan Larsen	[21] [30] [36] [55]
18	Lin Liu	[15]
19	Danilo P. Mandic	[27] [28] [32]
20	Nikolay V. Manyakov	[53] [63]
21	Dominique Martinez	[6] [8]
22	Patrick Merken	[63]
23	David J. Miller	[30]
24	Herc P. Neves	[63]
25	Mahasan Niranjan	[20]
26	Guy A. Orban	[1] [2] [4]
27	Karl Pauwels	[31] [40] [44] [47] [49] [59] [62]
28	Florian Pilz	[62]
29	Jonas Poelmans	[60] [61]
30	Nicolas Pugeault	[31] [49] [62]
31	Steven Raekelboom	[13]
32	Silvio P. Sabatini	[49]
33	J. Miguel Saraiva	[7]
34	Fabio Solari	[49]
35	Johan A. K. Suykens	[63]
36	Sovira Tan	[31]
37	Tom Tollenaere	[4] [5] [7]
38	Tom Torfs	[63]
39	Jo Van Vaerenbergh	[51] [52] [54]
40	Stijn Viaene	[60] [61]
41	Eduardo Ros Vidal (Eduardo Ros)	[49]
42	M. Wevers	[33] [34]
43	Florentin Wörgötter	[31] [48] [62]
44	Refet Firat Yazicioglu	[63]

Colors in the list of coauthors