Bernard Manderick

2008
45	EE	Yifei Chen, Feng Liu, Bernard Manderick: Evaluating and Comparing Biomedical Term Identification Systems. ICIC (1) 2008: 970-977
44	EE	Philippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick: Causal Graphical Models with Latent Variables: Learning and Inference. Innovations in Bayesian Networks 2008: 219-249
2007
43		Yifei Chen, Feng Liu, Bernard Manderick: Improving the Performance of Gene Mention Recognition System using Reformed Lexicon-based Support Vector Machine. DMIN 2007: 228-234
42	EE	Stijn Meganck, Philippe Leray, Bernard Manderick: Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU 2007: 5-16
41		Feng Liu, Yifei Chen, Bernard Manderick: Named Entity Recognition in Biomedical Literature Using Two-Layer Support Vector Machines. ICEIS (2) 2007: 39-48
40	EE	Feng Liu, Yifei Chen, Bernard Manderick: Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields. ICEIS (Selected Papers) 2007: 137-147
39	EE	Sam Maes, Stijn Meganck, Bernard Manderick: Inference in multi-agent causal models. Int. J. Approx. Reasoning 46(2): 274-299 (2007)
2006
38	EE	Stijn Meganck, Philippe Leray, Bernard Manderick: Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI 2006: 58-69
37	EE	Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick: Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models 2006: 195-206
2005
36		Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers: BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005 Koninklijke Vlaamse Academie van Belie voor Wetenschappen en Kunsten 2005
35		Sam Maes, Stijn Meganck, Bernard Manderick: Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications 2005: 178-182
34		Bram Vanschoenwinkel, Bernard Manderick: Context-sensitive Kernel Functions: A Comparison Between Different Context Weights. BNAIC 2005: 283-290
33		Peter Waiganjo Wagascha, Bernard Manderick, Maina Muuro: On Support Vector and Relevance Vector Machines. BNAIC 2005: 297-304
32		Sam Maes, Stijn Meganck, Bernard Manderick: Causal Inference in Multi-Agent Causal Models. BNAIC 2005: 367-368
31		Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: A Learning Algorithm for Multi-Agent Causal Models. EUMAS 2005: 190-201
30		Sam Maes, Stijn Meganck, Bernard Manderick: Identification in Chain Multi-Agent Causal Models. FLAIRS Conference 2005: 791-792
29	EE	Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: Distributed learning of Multi-Agent Causal Models. IAT 2005: 285-288
28	EE	Bram Vanschoenwinkel, Feng Liu, Bernard Manderick: Context-Sensitive Kernel Functions: A Distance Function Viewpoint. ICMLC 2005: 861-870
2004
27	EE	Bram Vanschoenwinkel, Bernard Manderick: Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data. Deterministic and Statistical Methods in Machine Learning 2004: 256-280
26	EE	Piet van Remortel, Bernard Manderick, Tom Lenaerts: Gene Interaction and Modularisation in a Model for Gene-Regulated Development. Evolvable Hardware 2004: 253-260
2003
25	EE	Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick: Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. ECML 2003: 421-431
24	EE	Sam Maes, Joke Reumers, Bernard Manderick: Identifiability of Causal Effects in a Multi-Agent Causal Model. IAT 2003: 605-608
23	EE	Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick: Developmental Effects on Tuneable Fitness Landscapes. ICES 2003: 117-128
22		Bram Vanschoenwinkel, Bernard Manderick: A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines. IJCAI 2003: 133-140
21		Thomas Hamelryck, Bernard Manderick: PDB file parser and structure class implemented in Python. Bioinformatics 19(17): 2308-2310 (2003)
2002
20	EE	Piet van Remortel, Tom Lenaerts, Bernard Manderick: Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. Australian Joint Conference on Artificial Intelligence 2002: 321-332
19	EE	Piet van Remortel, Tom Lenaerts, Bernard Manderick: The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. Evolvable Hardware 2002: 26-35
18		Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick: An Individual-based Approach To Multi-level Selection. GECCO 2002: 136
17		Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick: Evaluation of a Simple Multi-Level Selection Model. GECCO Late Breaking Papers 2002: 323-329
16		Karl Tuyls, Sam Maes, Bernard Manderick: Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA 2002: 226-232
15	EE	Karl Tuyls, Sam Maes, Bernard Manderick: Reinforcement Learning in Large State Spaces. RoboCup 2002: 319-326
2001
14	EE	Tom Lenaerts, Anne Defaweux, P. Beyens, Bernard Manderick: Transitions in a Simple Evolutionary Model. ECAL 2001: 436-439
1998
13	EE	Tom Lenaerts, Bernard Manderick: Building a Genetic Programming Framework: The Added-Value of Design Patterns. EuroGP 1998: 196-208
1997
12		Ian Frank, Bernard Manderick, Tetsuya Higuchi: Recent Advances in Evolvable Systems - ICES 96 (International Conference on Evolvable Systems). Evolutionary Computation 5(1): 105-114 (1997)
1996
11		Bernard Manderick, Tetsuya Higuchi: Evolvable Hardware: An Outlook. ICES 1996: 305-311
10		Piet Spiessens, Bernard Manderick: Finding Optimal Representations Using the Crossover Correlation Coefficient. SBIA 1996: 91-100
1995
9		Wim Hordijk, Bernard Manderick: The Usefulness of Recombination. ECAL 1995: 908-919
8		Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya, Bernard Manderick: Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. Towards Evolvable Hardware 1995: 118-135
1994
7		Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick: Applying Evolvable Hardware to Autonomous Agents. PPSN 1994: 524-533
6		Hiroaki Inayoshi, Bernard Manderick: The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. PPSN 1994: 617-625
1992
5		Reinhard Männer, Bernard Manderick: Parallel Problem Solving from Nature 2, PPSN-II, Brussels, Belgium, September 28-30, 1992 Elsevier 1992
1991
4		Bernard Manderick, Mark K. de Weger, Piet Spiessens: The Genetic Algorithm and the Structure of the Fitness Landscape. ICGA 1991: 143-150
3		Piet Spiessens, Bernard Manderick: A Massively Parallel Genetic Algorithm: Implementation and First Analysis. ICGA 1991: 279-287
1990
2		Bernard Manderick: Selectionist Categorization. PPSN 1990: 326-330
1989
1		Bernard Manderick, Piet Spiessens: Fine-Grained Parallel Genetic Algorithms. ICGA 1989: 428-433

Coauthor Index

1	P. Beyens	[14]
2	Johan Ceuppens	[23]
3	Yifei Chen	[40] [41] [43] [45]
4	Anne Defaweux	[14] [17] [18] [23]
5	Ian Frank	[12]
6	Tatsumi Furuya	[8]
7	Thomas Hamelryck	[21]
8	Dries Heytens	[25]
9	Tetsuya Higuchi	[7] [8] [11] [12]
10	Yuji Hirao	[8]
11	Wim Hordijk	[9]
12	Hitoshi Iba	[7] [8]
13	Hiroaki Inayoshi	[6]
14	Masaya Iwata	[8]
15	Isamu Kajitani	[8]
16	Bart Kuijpers	[36]
17	Tom Lenaerts	[13] [14] [17] [18] [19] [20] [23] [26]
18	Philippe Leray	[29] [31] [37] [38] [42] [44]
19	Feng Liu	[28] [40] [41] [43] [45]
20	Sam Maes	[15] [16] [24] [29] [30] [31] [32] [35] [37] [39] [44]
21	Reinhard Männer	[5]
22	Stijn Meganck	[29] [30] [31] [32] [35] [37] [38] [39] [42] [44]
23	Maina Muuro	[33]
24	Ann Nowé	[25] [36]
25	Piet van Remortel	[17] [18] [19] [20] [23] [26]
26	Joke Reumers	[24]
27	Piet Spiessens	[1] [3] [4] [10]
28	Karl Tuyls	[15] [16] [25] [36]
29	Bram Vanschoenwinkel	[22] [27] [28] [34]
30	Katja Verbeeck	[36]
31	Peter Waiganjo Wagascha	[33]
32	Mark K. de Weger	[4]

Colors in the list of coauthors