Marc M. Van Hulle

	2012
97		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
96		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
95		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)
94		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)
93		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)
	2011
92		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
91		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
90		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
89		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)
88		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)
87		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)
86		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)
85		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)
84		Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic: The complex local mean decomposition. Neurocomputing 74(6): 867-875 (2011)
	2010
83		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
82		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
81		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
80		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
79		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)
78		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)
77		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)
76		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)
75		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)
	2009
74		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
73		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
72		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
71		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
70		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
69		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)
68		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)
67		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)
66		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)
65		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
64		Marc M. Van Hulle: Kernel-Based Topographic Maps: Theory and Applications. Wiley Encyclopedia of Computer Science and Engineering 2008
63		Marc M. Van Hulle: Constrained Subspace ICA Based on Mutual Information Optimization Directly. Neural Computation 20(4): 964-973 (2008)
62		Marc M. Van Hulle: Sequential Fixed-Point ICA Based on Mutual Information Minimization. Neural Computation 20(5): 1344-1365 (2008)
61		Marc M. Van Hulle, Jan Larsen: Machine Learning for Signal Processing. Neurocomputing 72(1-3): 1-2 (2008)
	2007
60		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
59		Nikolay V. Manyakov, Marc M. Van Hulle: Causality analysis of LFPs in micro-electrode arrays based on mutual information. ESANN 2007: 447-452
58		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
57		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
56		Gert Van Dijck, Marc M. Van Hulle: Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. PKDD 2007: 277-287
55		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
54		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)
53		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
52		Karl Pauwels, Marc M. Van Hulle: Optic Flow from Unstable Sequences containing Unconstrained Scenes through Local Velocity Constancy Maximization. BMVC 2006: 397-406
51		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
50		Gert Van Dijck, Marc M. Van Hulle: Onset Detection through Maximal Redundancy Detection. ICPR (1) 2006: 945-949
49		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)
48		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)
47		Marc M. Van Hulle: Differential Log Likelihood for Evaluating and Learning Gaussian Mixtures. Neural Computation 18(2): 430-445 (2006)
46		Marc M. Van Hulle: Topographic map formation of factorized Edgeworth-expanded kernels. Neural Networks 19(6-7): 744-750 (2006)
	2005
45		Karl Pauwels, Marc M. Van Hulle: Robust Instantaneous Rigid Motion Estimation. CVPR (2) 2005: 980-985
44		Marc M. Van Hulle: Maximum Likelihood Topographic Map Formation. Neural Computation 17(3): 503-513 (2005)
43		Marc M. Van Hulle: Edgeworth-Expanded Gaussian Mixture Density Modeling. Neural Computation 17(8): 1706-1714 (2005)
42		Marc M. Van Hulle: Edgeworth Approximation of Multivariate Differential Entropy. Neural Computation 17(9): 1903-1910 (2005)
41		Marc M. Van Hulle, Jan Larsen: Neural Networks in Signal Processing. Neurocomputing 69(1-3): 1-2 (2005)
40		Marc M. Van Hulle: Mixture density modeling, Kullback-Leibler divergence, and differential log-likelihood. Signal Processing 85(5): 951-963 (2005)
	2004
39		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
38		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
37		Marc M. Van Hulle: Entropy-based kernel mixture modeling for topographic map formation. IEEE Transactions on Neural Networks 15(4): 850-858 (2004)
36		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)
35		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)
34		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)
33		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
32		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
31		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
30		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)
29		Marc M. Van Hulle: Kernel-Based Topographic Map Formation by Local Density Modeling. Neural Computation 14(7): 1561-1573 (2002)
28		Marc M. Van Hulle: Joint Entropy Maximization in Kernel-Based Topographic Maps. Neural Computation 14(8): 1887-190 (2002)
27		Marc M. Van Hulle: Kernel-based topographic map formation achieved with an information-theoretic approach. Neural Networks 15(8-9): 1029-1039 (2002)
26		Marc M. Van Hulle: Blind Source Separation and Equiprobabilistic Topographic Maps. VLSI Signal Processing 31(1): 19-30 (2002)
25		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)
24		Marc M. Van Hulle, Jan Larsen, Tülay Adali: Guest Editors' Introduction. VLSI Signal Processing 32(1-2): 5-6 (2002)
	2000
23		Tülay Adali, Marc M. Van Hulle, Mahasan Niranjan: Guest Editors' Introduction. VLSI Signal Processing 26(1-2): 5-6 (2000)
22		Marc M. Van Hulle: Hill-Climbing, Density-Based Clustering and Equiprobabilistic Topographic Maps. VLSI Signal Processing 26(1-2): 79-94 (2000)
	1999
21		Marc M. Van Hulle: Density-based clustering with topographic maps. IEEE Transactions on Neural Networks 10(1): 204-207 (1999)
20		Marc M. Van Hulle: Faithful representations with topographic maps. Neural Networks 12(6): 803-823 (1999)
19		Temujin Gautama, Marc M. Van Hulle: Self-Organized Feature Extraction Achieved with a Parameterized Filterbank. Neural Processing Letters 10(2): 131-137 (1999)
	1998
18		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)
17		Marc M. Van Hulle: Kernel-Based Equiprobable Topographic Map Formation. Neural Computation 10(7): 1847-1871 (1998)
16		Steven Raekelboom, Marc M. Van Hulle: The Softmap Algorithm. Neural Processing Letters 8(2): 181-192 (1998)
15		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
14		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)
13		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)
12		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)
11		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
10		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
9		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
8		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
7		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)
6		Marc M. Van Hulle, Tom Tollenaere: A modular artificial neural network for texture processing. Neural Networks 6(1): 7-32 (1993)
	1992
5		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
4		Marc M. Van Hulle: A goal programming network for linear programming. Biological Cybernetics 65(4): 243-252 (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	[23] [24] [34]
2	Javier Diaz Alonso	[95]
3	Emre Baseski	[71]
4	Dirk Calow	[35]
5	Nikolay Chumerin	[72] [73] [76] [81] [86] [88] [90] [91] [92] [93] [96] [97]
6	Adrien Combaz	[72] [73] [81] [88] [90] [91] [92] [93] [96] [97]
7	Guido Dedene	[68] [70] [74] [89]
8	Filip Deleus	[67]
9	Javier Díaz	[55] [79]
10	Gert Van Dijck	[38] [39] [50] [51] [56] [57] [58] [60] [66] [69] [82] [94]
11	Paul Elzinga	[68] [70] [74] [89]
12	Leonardo Fogassi	[82]
13	Giulia Gastaldi	[55] [79]
14	Temujin Gautama	[19] [25] [30] [31] [32] [33] [36] [48]
15	Agostino Gibaldi	[76]
16	Stanislav Herwik	[82]
17	Chris Van Hoof	[72]
18	Beth Jelfs	[85]
19	Lars Baunegaard With Jensen	[71] [75] [86]
20	Jeppe Barsøe Jessen	[75]
21	Ahmad Jezzini	[82]
22	Alan Johnston	[35]
23	Sebastian Kisban	[82]
24	Anders Kjær-Nielsen	[75] [86]
25	Norbert Krüger	[35] [54] [55] [71] [75] [79] [80] [86]
26	Markus Lappe	[35] [53]
27	Jan Larsen	[24] [34] [41] [61]
28	Lin Liu	[18]
29	David Looney	[84]
30	Reinoud Maex	[94]
31	Danilo P. Mandic	[31] [32] [36] [84] [85]
32	Nikolay V. Manyakov	[59] [72] [73] [77] [78] [81] [83] [88] [90] [91] [92] [93] [96] [97]
33	Irene Markelic	[86]
34	Dominique Martinez	[7] [9]
35	Patrick A. De Mazière	[87]
36	Patrick Merken	[72]
37	David J. Miller	[34]
38	Herc P. Neves (Hercules P. Neves)	[72]
39	Mahasan Niranjan	[23]
40	Guy A. Orban	[1] [2] [5]
41	Cheolsoo Park	[84]
42	Oliver Paul	[82] [94]
43	Karl Pauwels	[35] [45] [49] [52] [53] [55] [65] [71] [75] [79] [80] [86] [95]
44	Florian Pilz	[71] [80]
45	Jonas Poelmans	[68] [70] [74] [83] [89]
46	José Carlos Príncipe (José C. Príncipe, Jose C. Principe)	[85]
47	Nicolas Pugeault	[35] [55] [71] [79] [80]
48	Steven Raekelboom	[16]
49	Arne Robben	[81] [90] [91] [93] [96] [97]
50	Alexander Rotter	[86]
51	Patrick Ruther	[82] [94]
52	Silvio P. Sabatini	[55] [76] [79]
53	J. Miguel Saraiva	[8]
54	Karsten Seidl	[82] [94]
55	Francesca Ugolotti Serventi	[82]
56	Fabio Solari	[55] [79]
57	Johan A. K. Suykens	[72] [73] [93]
58	Minija Tamosiunaite	[86]
59	Sovira Tan	[35]
60	Tom Tollenaere	[5] [6] [8]
61	Matteo Tomasi	[95]
62	Tom Torfs	[72]
63	Maria Alessandra Umiltà	[82]
64	Jo Van Vaerenbergh	[57] [58] [60] [69]
65	Stijn Viaene	[68] [70] [74] [89]
66	Eduardo Ros Vidal (Eduardo Ros)	[55] [79] [95]
67	Ausra Vidugiriene	[86]
68	Marijn van Vliet	[90] [91] [96] [97]
69	Rufin Vogels	[78] [83]
70	Martine Wevers	[38] [39] [66]
71	Florentin Wörgötter	[35] [54] [71] [86]
72	Yili Xia	[85]
73	Refet Firat Yazicioglu	[72]

Colors in the list of coauthors

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