- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| c46 |      | Ruben Hillewaere, Bernard Manderick, Darrell Conklin: String Methods for Folk Tune Genre Classification. ISMIR 2012: 217-222 |
| 2011 | ||
| j7 | | Yifei Chen, Feng Liu, Bernard Manderick: A machine learning-based system to normalise gene mentions to unique database identifiers. IJDMB 5(6): 640-660 (2011) |
| c45 | | David Catteeuw, Bernard Manderick: Heterogeneous Populations of Learning Agents in the Minority Game. ALA 2011: 100-113 |
| 2010 | ||
| j6 | | Yifei Chen, Feng Liu, Bernard Manderick: BioLMiner and the BioCreative II.5 challenge. BMC Bioinformatics 11(S-5): P6 (2010) |
| j5 | | Yifei Chen, Feng Liu, Bernard Manderick: BioLMiner System: Interaction Normalization Task and Interaction Pair Task in the BioCreative II.5 Challenge. IEEE/ACM Trans. Comput. Biology Bioinform. 7(3): 428-441 (2010) |
| c44 | | Ruben Hillewaere, Bernard Manderick, Darrell Conklin: String Quartet Classification with Monophonic Models. ISMIR 2010: 537-542 |
| 2009 | ||
| j4 | | Yifei Chen, Feng Liu, Bram Vanschoenwinkel, Bernard Manderick: Splice Site Prediction using Support Vector Machines with Context-Sensitive Kernel Functions. J. UCS 15(13): 2528-2546 (2009) |
| c43 | | David Catteeuw, Bernard Manderick: Learning in Minority Games with Multiple Resources. ECAL (2) 2009: 326-333 |
| c42 | | David Catteeuw, Bernard Manderick: Learning in the time-dependent minority game. GECCO (Companion) 2009: 2011-2016 |
| c41 | | Ruben Hillewaere, Bernard Manderick, Darrell Conklin: Global Feature Versus Event Models for Folk Song Classification. ISMIR 2009: 729-734 |
| 2008 | ||
| c40 | | Yifei Chen, Feng Liu, Bernard Manderick: Evaluating and Comparing Biomedical Term Identification Systems. ICIC (1) 2008: 970-977 |
| p1 | | 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 | ||
| j3 | | Sam Maes, Stijn Meganck, Bernard Manderick: Inference in multi-agent causal models. Int. J. Approx. Reasoning 46(2): 274-299 (2007) |
| c39 |  | 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 |
| c38 | | Stijn Meganck, Philippe Leray, Bernard Manderick: Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU 2007: 5-16 |
| c37 | | Feng Liu, Yifei Chen, Bernard Manderick: Named Entity Recognition in Biomedical Literature Using Two-Layer Support Vector Machines. ICEIS (2) 2007: 39-48 |
| c36 | | 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 |
| 2006 | ||
| c35 | | Stijn Meganck, Philippe Leray, Bernard Manderick: Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI 2006: 58-69 |
| c34 | | Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick: Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models 2006: 195-206 |
| 2005 | ||
| c33 | | Sam Maes, Stijn Meganck, Bernard Manderick: Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications 2005: 178-182 |
| c32 | | Bram Vanschoenwinkel, Bernard Manderick: Context-sensitive Kernel Functions: A Comparison Between Different Context Weights. BNAIC 2005: 283-290 |
| c31 | | Peter Waiganjo Wagascha, Bernard Manderick, Maina Muuro: On Support Vector and Relevance Vector Machines. BNAIC 2005: 297-304 |
| c30 | | Sam Maes, Stijn Meganck, Bernard Manderick: Causal Inference in Multi-Agent Causal Models. BNAIC 2005: 367-368 |
| c29 | | Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: A Learning Algorithm for Multi-Agent Causal Models. EUMAS 2005: 190-201 |
| c28 | | Sam Maes, Stijn Meganck, Bernard Manderick: Identification in Chain Multi-Agent Causal Models. FLAIRS Conference 2005: 791-792 |
| c27 | | Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray: Distributed learning of Multi-Agent Causal Models. IAT 2005: 285-288 |
| c26 | | Bram Vanschoenwinkel, Feng Liu, Bernard Manderick: Context-Sensitive Kernel Functions: A Distance Function Viewpoint. ICMLC 2005: 861-870 |
| e2 | | Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers (Eds.): 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 |
| 2004 | ||
| c25 | | 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 |
| c24 | | Piet van Remortel, Bernard Manderick, Tom Lenaerts: Gene Interaction and Modularisation in a Model for Gene-Regulated Development. Evolvable Hardware 2004: 253-260 |
| c23 | | Bram Vanschoenwinkel, Bernard Manderick: Substitution matrix based kernel functions for protein secondary structure prediction. ICMLA 2004: 388-396 |
| 2003 | ||
| j2 | | Thomas Hamelryck, Bernard Manderick: PDB file parser and structure class implemented in Python. Bioinformatics 19(17): 2308-2310 (2003) |
| c22 | | 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 |
| c21 | | Sam Maes, Joke Reumers, Bernard Manderick: Identifiability of Causal Effects in a Multi-Agent Causal Model. IAT 2003: 605-608 |
| c20 | | Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick: Developmental Effects on Tuneable Fitness Landscapes. ICES 2003: 117-128 |
| c19 | | Bram Vanschoenwinkel, Bernard Manderick: A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines. IJCAI 2003: 133-140 |
| 2002 | ||
| c18 | | 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 |
| c17 | | Piet van Remortel, Tom Lenaerts, Bernard Manderick: The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. Evolvable Hardware 2002: 26-35 |
| c16 | | Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick: An Individual-based Approach To Multi-level Selection. GECCO 2002: 136 |
| c15 | | Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick: Evaluation of a Simple Multi-Level Selection Model. GECCO Late Breaking Papers 2002: 323-329 |
| c14 | | Karl Tuyls, Sam Maes, Bernard Manderick: Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA 2002: 226-232 |
| c13 | | Karl Tuyls, Sam Maes, Bernard Manderick: Reinforcement Learning in Large State Spaces. RoboCup 2002: 319-326 |
| 2001 | ||
| c12 | | Tom Lenaerts, Anne Defaweux, P. Beyens, Bernard Manderick: Transitions in a Simple Evolutionary Model. ECAL 2001: 436-439 |
| 1998 | ||
| c11 | | Tom Lenaerts, Bernard Manderick: Building a Genetic Programming Framework: The Added-Value of Design Patterns. EuroGP 1998: 196-208 |
| 1997 | ||
| j1 | | 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 | ||
| c10 | | |
| c9 | | Piet Spiessens, Bernard Manderick: Finding Optimal Representations Using the Crossover Correlation Coefficient. SBIA 1996: 91-100 |
| 1995 | ||
| c8 | | |
| c7 | | 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 | ||
| c6 | | Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick: Applying Evolvable Hardware to Autonomous Agents. PPSN 1994: 524-533 |
| c5 | | Hiroaki Inayoshi, Bernard Manderick: The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. PPSN 1994: 617-625 |
| 1992 | ||
| e1 | | Reinhard Männer, Bernard Manderick (Eds.): Parallel Problem Solving from Nature 2, PPSN-II, Brussels, Belgium, September 28-30, 1992. Elsevier 1992 |
| 1991 | ||
| c4 | | Bernard Manderick, Mark K. de Weger, Piet Spiessens: The Genetic Algorithm and the Structure of the Fitness Landscape. ICGA 1991: 143-150 |
| c3 | | Piet Spiessens, Bernard Manderick: A Massively Parallel Genetic Algorithm: Implementation and First Analysis. ICGA 1991: 279-287 |
| 1990 | ||
| c2 | | |
| 1989 | ||
| c1 | | |
Colors in the list of coauthors
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