Credit card fraud detection using Bayesian and neural networks S Maes, K Tuyls, B Vanschoenwinkel, B Manderick Proceedings of the 1st international naiso congress on neuro fuzzy …, 2002 | 576 | 2002 |
Fine-grained parallel genetic algorithms B Manderick, P Spiessens Proceedings of the 3rd International Conference on Genetic algorithms, 428-433, 1989 | 562 | 1989 |
The genetic algorithm and the structure of the fitness landscape B Manderick Proc. of the 4th ICGA, 143-150, 1991 | 403 | 1991 |
PDB file parser and structure class implemented in Python T Hamelryck, B Manderick Bioinformatics 19 (17), 2308-2310, 2003 | 292 | 2003 |
A massively parallel genetic algorithm implementation and first analysis P Spiessens Proc. of the Fourth International Conference on Genetic Algorithms, 279-286, 1991 | 262 | 1991 |
Parallel problem solving from nature, 2: proceedings of the second conference on parallel problem solving from nature Brussels, Belgium, 28-30 September 1992 R Maenner, B Manderick North Holland, 1992 | 160 | 1992 |
Evolvable hardware with genetic learning T Higuchi, M Iwata, I Kajitani, H Yamada, B Manderick, Y Hirao, ... 1996 IEEE International Symposium on Circuits and Systems (ISCAS) 4, 29-32, 1996 | 157 | 1996 |
Evolvable hardware and its application to pattern recognition and fault-tolerant systems T Higuchi, M Iwata, I Kajitani, H Iba, Y Hirao, T Furuya, B Manderick Towards Evolvable Hardware: The evolutionary Engineering Approach, 118-135, 1996 | 124 | 1996 |
Learning causal bayesian networks from observations and experiments: A decision theoretic approach S Meganck, P Leray, B Manderick International Conference on Modeling Decisions for Artificial Intelligence …, 2006 | 87 | 2006 |
The collective behavior of ants: an example of self-organization in massive parallelism F Moyson, B Manderick Artificial Intelligence Laboratory, Vrije Universiteit Brussel, 1988 | 75* | 1988 |
An adaptive rule-based classifier for mining big biological data DM Farid, MA Al-Mamun, B Manderick, A Nowe Expert Systems with Applications 64, 305-316, 2016 | 67 | 2016 |
Global feature versus event models for folk song classification. R Hillewaere, B Manderick, D Conklin ISMIR 2009, 10th, 2009 | 67 | 2009 |
Identifiability of causal effects in a multi-agent causal model S Maes, J Reumers, B Manderick IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT …, 2003 | 49 | 2003 |
String Quartet Classification with Monophonic Models. R Hillewaere, B Manderick, D Conklin ISMIR, 537-542, 2010 | 44 | 2010 |
String Methods for Folk Tune Genre Classification. R Hillewaere, B Manderick, D Conklin ISMIR 2012, 13th, 2012 | 42 | 2012 |
The usefulness of recombination W Hordijk, Manderick European Conference on Artificial Life, 908-919, 1995 | 42 | 1995 |
The SAGA cross: the mechanics of crossover for variable-length genetic algorithms I Harvey, R Manner, B Manderick R. M anner and B. Manderick, editors, Parallel Problem Solving from Nature 2 …, 1992 | 39 | 1992 |
Learning coordinated traffic light control TT Pham, T Brys, ME Taylor, T Brys, MM Drugan, PA Bosman, MD Cock, ... Proceedings of the Adaptive and Learning Agents workshop (at AAMAS-13) 10 …, 2013 | 36 | 2013 |
Appropriate kernel functions for support vector machine learning with sequences of symbolic data B Vanschoenwinkel, B Manderick International Workshop on Deterministic and Statistical Methods in Machine …, 2004 | 34 | 2004 |
Extended replicator dynamics as a key to reinforcement learning in multi-agent systems K Tuyls, D Heytens, A Nowe, B Manderick Machine Learning: ECML 2003: 14th European Conference on Machine Learning …, 2003 | 33 | 2003 |