Fine-Grained Parallel Genetic Algorithms. - Bernard Manderick; Piet Spiessens (ICGA, 1989)

Selectionist Categorization. - Bernard Manderick (PPSN, 1990)

The Genetic Algorithm and the Structure of the Fitness Landscape. - Bernard Manderick; Mark K. de Weger; Piet Spiessens (ICGA, 1991)

A Massively Parallel Genetic Algorithm: Implementation and First Analysis. - Piet Spiessens; Bernard Manderick (ICGA, 1991)

Applying Evolvable Hardware to Autonomous Agents. - Tetsuya Higuchi; Hitoshi Iba; Bernard Manderick (PPSN, 1994)

The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. - Hiroaki Inayoshi; Bernard Manderick (PPSN, 1994)

The Usefulness of Recombination. - Wim Hordijk; Bernard Manderick (ECAL, 1995)

Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. - Tetsuya Higuchi; Masaya Iwata; Isamu Kajitani; Hitoshi Iba; Yuji Hirao; Tatsumi Furuya; Bernard Manderick (Towards Evolvable Hardware, 1995)

Evolvable Hardware: An Outlook. - Bernard Manderick; Tetsuya Higuchi (ICES, 1996)

Finding Optimal Representations Using the Crossover Correlation Coefficient. - Piet Spiessens; Bernard Manderick (SBIA, 1996)

Recent Advances in Evolvable Systems - ICES 96 (International Conference on Evolvable Systems). - Ian Frank; Bernard Manderick; Tetsuya Higuchi (Evol. Comput., 1997)

Building a Genetic Programming Framework: The Added-Value of Design Patterns. - Tom Lenaerts; Bernard Manderick (EuroGP, 1998)

Transitions in a Simple Evolutionary Model. - Tom Lenaerts; Anne Defaweux; P. Beyens; Bernard Manderick (ECAL, 2001)

Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. - Piet van Remortel; Tom Lenaerts; Bernard Manderick (Australian Joint Conference on Artificial Intelligence, 2002)

The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. - Piet van Remortel; Tom Lenaerts; Bernard Manderick (Evolvable Hardware, 2002)

An Individual-based Approach To Multi-level Selection. - Tom Lenaerts; Anne Defaweux; Piet van Remortel; Bernard Manderick (GECCO, 2002)

Evaluation of a Simple Multi-Level Selection Model. - Tom Lenaerts; Anne Defaweux; Piet van Remortel; Bernard Manderick (GECCO Late Breaking Papers, 2002)

Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. - Karl Tuyls; Sam Maes; Bernard Manderick (ICMLA, 2002)

Reinforcement Learning in Large State Spaces. - Karl Tuyls; Sam Maes; Bernard Manderick (RoboCup, 2002)

Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. - Karl Tuyls; Dries Heytens; Ann Nowé; Bernard Manderick (ECML, 2003)

Identifiability of Causal Effects in a Multi-Agent Causal Model. - Sam Maes; Joke Reumers; Bernard Manderick (IAT, 2003)

Developmental Effects on Tuneable Fitness Landscapes. - Piet van Remortel; Johan Ceuppens; Anne Defaweux; Tom Lenaerts; Bernard Manderick (ICES, 2003)

A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines. - Bram Vanschoenwinkel; Bernard Manderick (IJCAI, 2003)

PDB file parser and structure class implemented in Python. - Thomas Hamelryck; Bernard Manderick (Bioinform., 2003)

Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data. - Bram Vanschoenwinkel; Bernard Manderick (Deterministic and Statistical Methods in Machine Learning, 2004)

Gene Interaction and Modularisation in a Model for Gene-Regulated Development. - Piet van Remortel; Bernard Manderick; Tom Lenaerts (Evolvable Hardware, 2004)

Substitution matrix based kernel functions for protein secondary structure prediction. - Bram Vanschoenwinkel; Bernard Manderick (ICMLA, 2004)

An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems. - Karl Tuyls; Ann Nowé; Tom Lenaerts; Bernard Manderick (Synth., 2004)

Identification of Causal Effects in Multi-Agent Causal Models. - Sam Maes; Stijn Meganck; Bernard Manderick (Artificial Intelligence and Applications, 2005)

Context-sensitive Kernel Functions: A Comparison Between Different Context Weights. - Bram Vanschoenwinkel; Bernard Manderick (BNAIC, 2005)

On Support Vector and Relevance Vector Machines. - Peter Waiganjo Wagacha; Bernard Manderick; Maina Muuro (BNAIC, 2005)

A Learning Algorithm for Multi-Agent Causal Models. - Stijn Meganck; Sam Maes; Bernard Manderick; Philippe Leray 001 (EUMAS, 2005)

Causal Inference in Multi-Agent Causal Models. - Bernard Manderick; Sam Maes; Stijn Meganck (EGC (Ateliers), 2005)

Identification in Chain Multi-Agent Causal Models. - Sam Maes; Stijn Meganck; Bernard Manderick (FLAIRS, 2005)

Distributed learning of Multi-Agent Causal Models. - Stijn Meganck; Sam Maes; Bernard Manderick; Philippe Leray 001 (IAT, 2005)

Context-Sensitive Kernel Functions: A Distance Function Viewpoint. - Bram Vanschoenwinkel; Feng Liu 031; Bernard Manderick (ICMLC, 2005)

Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. - Stijn Meganck; Philippe Leray 001; Bernard Manderick (MDAI, 2006)

Learning Semi-Markovian Causal Models using Experiments. - Stijn Meganck; Sam Maes; Philippe Leray 001; Bernard Manderick (Probabilistic Graphical Models, 2006)

Improving the Performance of Gene Mention Recognition System using Reformed Lexicon-based Support Vector Machine. - Yifei Chen; Feng Liu 031; Bernard Manderick (DMIN, 2007)

Causal Graphical Models with Latent Variables: Learning and Inference. - Stijn Meganck; Philippe Leray 001; Bernard Manderick (ECSQARU, 2007)

Named Entity Recognition in Biomedical Literature Using Two-Layer Support Vector Machines. - Feng Liu 031; Yifei Chen; Bernard Manderick (ICEIS (2), 2007)

Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields. - Feng Liu 031; Yifei Chen; Bernard Manderick (ICEIS (Selected Papers), 2007)

Inference in multi-agent causal models. - Sam Maes; Stijn Meganck; Bernard Manderick (Int. J. Approx. Reason., 2007)

Evaluating and Comparing Biomedical Term Identification Systems. - Yifei Chen; Feng Liu 031; Bernard Manderick (ICIC (1), 2008)

Causal Graphical Models with Latent Variables: Learning and Inference. - Philippe Leray 001; Stijn Meganck; Sam Maes; Bernard Manderick (Innovations in Bayesian Networks, 2008)

Learning in Minority Games with Multiple Resources. - David Catteeuw; Bernard Manderick (ECAL (2), 2009)

Learning in the time-dependent minority game. - David Catteeuw; Bernard Manderick (GECCO (Companion), 2009)

Global Feature Versus Event Models for Folk Song Classification. - Ruben Hillewaere; Bernard Manderick; Darrell Conklin (ISMIR, 2009)

Splice Site Prediction using Support Vector Machines with Context-Sensitive Kernel Functions. - Yifei Chen; Feng Liu 031; Bram Vanschoenwinkel; Bernard Manderick (J. Univers. Comput. Sci., 2009)

String Quartet Classification with Monophonic Models. - Ruben Hillewaere; Bernard Manderick; Darrell Conklin (ISMIR, 2010)

BioLMiner and the BioCreative II.5 challenge. - Yifei Chen; Feng Liu 031; Bernard Manderick (BMC Bioinform., 2010)

BioLMiner System: Interaction Normalization Task and Interaction Pair Task in the BioCreative II.5 Challenge. - Yifei Chen; Feng Liu 031; Bernard Manderick (IEEE ACM Trans. Comput. Biol. Bioinform., 2010)

Heterogeneous Populations of Learning Agents in the Minority Game. - David Catteeuw; Bernard Manderick (ALA, 2011)

A machine learning-based system to normalise gene mentions to unique database identifiers. - Yifei Chen; Feng Liu 031; Bernard Manderick (Int. J. Data Min. Bioinform., 2011)

The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study. - Bernard Manderick; Saba Q. Yahyaa (ESANN, 2012)

Alignment Methods for Folk Tune Classification. - Ruben Hillewaere; Bernard Manderick; Darrell Conklin (GfKl, 2012)

String Methods for Folk Tune Genre Classification. - Ruben Hillewaere; Bernard Manderick; Darrell Conklin (ISMIR, 2012)

Evolutionary stability of honest signaling in finite populations. - David Catteeuw; Bernard Manderick; The Anh Han (IEEE Congress on Evolutionary Computation, 2013)

Game Theory and Learning at the Medium Access Control Layer for Distributed Radio Resource Sharing in Random Access Wireless Networks. - Eric Ayienga; Elisha Opiyo; Bernard Manderick; Okelo Odongo (ICAART (2), 2013)

Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs. - Saba Q. Yahyaa; Bernard Manderick (ICAART (2), 2013)

Knowledge Gradient Exploration in Online Least Squares Policy Iteration. - Saba Q. Yahyaa; Bernard Manderick (ICAART (2), 2013)

Pareto Upper Confidence Bounds algorithms: An empirical study. - Madalina M. Drugan; Ann Nowé; Bernard Manderick (ADPRL, 2014)

Annealing-pareto multi-objective multi-armed bandit algorithm. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ADPRL, 2014)

Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ESANN, 2014)

Evolution of honest signaling by social punishment. - David Catteeuw; The Anh Han; Bernard Manderick (GECCO, 2014)

Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ICAART (1), 2014)

Online Knowledge Gradient Exploration in an Unknown Environment. - Saba Q. Yahyaa; Bernard Manderick (ICAART (1), 2014)

Knowledge Gradient for Online Reinforcement Learning. - Saba Q. Yahyaa; Bernard Manderick (ICAART (Revised Selected Papers), 2014)

The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (IJCNN, 2014)

Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. - Madalina M. Drugan; Pedro Isasi; Bernard Manderick (SEAL, 2014)

The limits and robustness of reinforcement learning in Lewis signalling games. - David Catteeuw; Bernard Manderick (Connect. Sci., 2014)

Annealing linear scalarized based multi-objective multi-armed bandit algorithm. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (CEC, 2015)

Bernoulli bandits: an empirical comparison. - Nixon K. Ronoh; Reuben Odoyo; Edna Milgo; Madalina M. Drugan; Bernard Manderick (ESANN, 2015)

Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem. - Saba Q. Yahyaa; Bernard Manderick (ESANN, 2015)

Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. - Madalina M. Drugan; Bernard Manderick (ICAART (2), 2015)

Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (ICAART (2), 2015)

Monte Carlo Schemata Searching for Physical Activity Recognition. - Alejandro Baldominos; Pedro Isasi; Yago Sáez; Bernard Manderick (INCoS, 2015)

Improving protein-protein interaction article classification using biological domain knowledge. - Yifei Chen; Hongjian Guo; Feng Liu 031; Bernard Manderick (Int. J. Data Min. Bioinform., 2015)

Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits. - Saba Q. Yahyaa; Madalina M. Drugan; Bernard Manderick (Trans. Comput. Collect. Intell., 2015)

Schemata Bandits for MAXSAT. - Nixon K. Ronoh; Edna Milgo; Ambrose K. Kiprop; Bernard Manderick (GECCO (Companion), 2016)

Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data. - Dewan Md. Farid 001; Ann Nowé; Bernard Manderick (IntelliSys (1), 2016)

Genomic Variant Classifier Tool. - Isel Grau; Dipankar Sengupta; Dewan Md. Farid 001; Bernard Manderick; Ann Nowé; María Matilde García Lorenzo; Dorien Daneels; Maryse Bonduelle; Didier Croes; Sonia Van Dooren (IntelliSys (1), 2016)

An adaptive rule-based classifier for mining big biological data. - Dewan Md. Farid 001; M. Abdulla Al Mamun; Bernard Manderick; Ann Nowé (Expert Syst. Appl., 2016)

Honesty and deception in populations of selfish, adaptive individuals. - David Catteeuw; Bernard Manderick (Knowl. Eng. Rev., 2016)

Comparison of adaptive MCMC methods. - Edna Milgo; Nixon K. Ronoh; Peter Waiganjo Wagacha; Bernard Manderick (ESANN, 2017)

Adaptiveness of CMA based samplers. - Edna Milgo; Nixon K. Ronoh; Peter Waiganjo; Bernard Manderick (GECCO (Companion), 2017)

Natural gradient evolution strategies for adaptive sampling. - Nixon K. Ronoh; Edna Milgo; Ambrose K. Kiprop; Bernard Manderick; Ann Nowé (GECCO Companion, 2022)

Comparison of MCMC Adaptation Schemes: A Preliminary Empirical Study. - Bowen Liu; Edna Milgo; Nixon K. Ronoh; Bernard Manderick (GECCO Companion, 2023)