Bernard Manderick

91 papers A* 1A 6B 10C 5Misc 2Journal 13Unranked 52

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Comparison of MCMC Adaptation Schemes: A Preliminary Empirical Study. GECCO Companion Bowen Liu, Edna Milgo, Nixon K. Ronoh, Bernard Manderick
2022	—	`conf`	Natural gradient evolution strategies for adaptive sampling. GECCO Companion Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick, Ann Nowé
2017	—	`conf`	Adaptiveness of CMA based samplers. GECCO (Companion) Edna Milgo, Nixon K. Ronoh, Peter Waiganjo, Bernard Manderick
2017	B	`conf`	Comparison of adaptive MCMC methods. ESANN Edna Milgo, Nixon K. Ronoh, Peter Waiganjo Wagacha, Bernard Manderick
2016	J	`jnl`	An adaptive rule-based classifier for mining big biological data. Expert Syst. Appl. Dewan Md. Farid, M. Abdulla Al Mamun, Bernard Manderick, Ann Nowé
2016	—	`conf`	Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data. IntelliSys (1) Dewan Md. Farid, Ann Nowé, Bernard Manderick
2016	—	`conf`	Genomic Variant Classifier Tool. IntelliSys (1) Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren
2016	J	`jnl`	Honesty and deception in populations of selfish, adaptive individuals. Knowl. Eng. Rev. David Catteeuw, Bernard Manderick
2016	—	`conf`	Schemata Bandits for MAXSAT. GECCO (Companion) Nixon K. Ronoh, Edna Milgo, Ambrose K. Kiprop, Bernard Manderick
2015	B	`conf`	Annealing linear scalarized based multi-objective multi-armed bandit algorithm. CEC Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2015	B	`conf`	Bernoulli bandits: an empirical comparison. ESANN Nixon K. Ronoh, Reuben Odoyo, Edna Milgo, Madalina M. Drugan, Bernard Manderick
2015	—	`conf`	Exploration Versus Exploitation Trade-off in Infinite Horizon Pareto Multi-armed Bandits Algorithms. ICAART (2) Madalina M. Drugan, Bernard Manderick
2015	J	`jnl`	Improving protein-protein interaction article classification using biological domain knowledge. Int. J. Data Min. Bioinform. Yifei Chen, Hongjian Guo, Feng Liu, Bernard Manderick
2015	—	`conf`	Monte Carlo Schemata Searching for Physical Activity Recognition. INCoS Alejandro Baldominos, Pedro Isasi, Yago Sáez, Bernard Manderick
2015	J	`jnl`	Scalarized and Pareto Knowledge Gradient for Multi-objective Multi-armed Bandits. Trans. Comput. Collect. Intell. Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2015	B	`conf`	Thompson Sampling for Multi-Objective Multi-Armed Bandits Problem. ESANN Saba Q. Yahyaa, Bernard Manderick
2015	—	`conf`	Thompson Sampling in the Adaptive Linear Scalarized Multi Objective Multi Armed Bandit. ICAART (2) Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	—	`conf`	Annealing-pareto multi-objective multi-armed bandit algorithm. ADPRL Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	A	`conf`	Evolution of honest signaling by social punishment. GECCO David Catteeuw, The Anh Han, Bernard Manderick
2014	—	`conf`	Knowledge Gradient for Multi-objective Multi-armed Bandit Algorithms. ICAART (1) Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	—	`conf`	Knowledge Gradient for Online Reinforcement Learning. ICAART (Revised Selected Papers) Saba Q. Yahyaa, Bernard Manderick
2014	B	`conf`	Linear Scalarized Knowledge Gradient in the Multi-Objective Multi-Armed Bandits Problem. ESANN Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2014	—	`conf`	Online Knowledge Gradient Exploration in an Unknown Environment. ICAART (1) Saba Q. Yahyaa, Bernard Manderick
2014	—	`conf`	Pareto Upper Confidence Bounds algorithms: An empirical study. ADPRL Madalina M. Drugan, Ann Nowé, Bernard Manderick
2014	—	`conf`	Schemata Bandits for Binary Encoded Combinatorial Optimisation Problems. SEAL Madalina M. Drugan, Pedro Isasi, Bernard Manderick
2014	J	`jnl`	The limits and robustness of reinforcement learning in Lewis signalling games. Connect. Sci. David Catteeuw, Bernard Manderick
2014	B	`conf`	The scalarized multi-objective multi-armed bandit problem: An empirical study of its exploration vs. exploitation tradeoff. IJCNN Saba Q. Yahyaa, Madalina M. Drugan, Bernard Manderick
2013	—	`conf`	Empirical Evaluation of Shortest Path Gaussian Kernels over State Action Graphs. ICAART (2) Saba Q. Yahyaa, Bernard Manderick
2013	B	`conf`	Evolutionary stability of honest signaling in finite populations. IEEE Congress on Evolutionary Computation David Catteeuw, Bernard Manderick, The Anh Han
2013	—	`conf`	Game Theory and Learning at the Medium Access Control Layer for Distributed Radio Resource Sharing in Random Access Wireless Networks. ICAART (2) Eric Ayienga, Elisha Opiyo, Bernard Manderick, Okelo Odongo
2013	—	`conf`	Knowledge Gradient Exploration in Online Least Squares Policy Iteration. ICAART (2) Saba Q. Yahyaa, Bernard Manderick
2012	—	`conf`	Alignment Methods for Folk Tune Classification. GfKl Ruben Hillewaere, Bernard Manderick, Darrell Conklin
2012	—	`conf`	String Methods for Folk Tune Genre Classification. ISMIR Ruben Hillewaere, Bernard Manderick, Darrell Conklin
2012	B	`conf`	The Exploration vs Exploitation Trade-Off in Bandit Problems: An Empirical Study. ESANN Bernard Manderick, Saba Q. Yahyaa
2011	J	`jnl`	A machine learning-based system to normalise gene mentions to unique database identifiers. Int. J. Data Min. Bioinform. Yifei Chen, Feng Liu, Bernard Manderick
2011	—	`conf`	Heterogeneous Populations of Learning Agents in the Minority Game. ALA David Catteeuw, Bernard Manderick
2010	J	`jnl`	BioLMiner System: Interaction Normalization Task and Interaction Pair Task in the BioCreative II.5 Challenge. IEEE ACM Trans. Comput. Biol. Bioinform. Yifei Chen, Feng Liu, Bernard Manderick
2010	J	`jnl`	BioLMiner and the BioCreative II.5 challenge. BMC Bioinform. Yifei Chen, Feng Liu, Bernard Manderick
2010	—	`conf`	String Quartet Classification with Monophonic Models. ISMIR Ruben Hillewaere, Bernard Manderick, Darrell Conklin
2009	—	`conf`	Global Feature Versus Event Models for Folk Song Classification. ISMIR Ruben Hillewaere, Bernard Manderick, Darrell Conklin
2009	—	`conf`	Learning in Minority Games with Multiple Resources. ECAL (2) David Catteeuw, Bernard Manderick
2009	—	`conf`	Learning in the time-dependent minority game. GECCO (Companion) David Catteeuw, Bernard Manderick
2009	J	`jnl`	Splice Site Prediction using Support Vector Machines with Context-Sensitive Kernel Functions. J. Univers. Comput. Sci. Yifei Chen, Feng Liu, Bram Vanschoenwinkel, Bernard Manderick
2008	—	`ch.`	Causal Graphical Models with Latent Variables: Learning and Inference. Innovations in Bayesian Networks Philippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick
2008	—	`conf`	Evaluating and Comparing Biomedical Term Identification Systems. ICIC (1) Yifei Chen, Feng Liu, Bernard Manderick
2007	C	`conf`	Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU Stijn Meganck, Philippe Leray, Bernard Manderick
2007	—	`conf`	Improving the Performance of Gene Mention Recognition System using Reformed Lexicon-based Support Vector Machine. DMIN Yifei Chen, Feng Liu, Bernard Manderick
2007	J	`jnl`	Inference in multi-agent causal models. Int. J. Approx. Reason. Sam Maes, Stijn Meganck, Bernard Manderick
2007	—	`conf`	Named Entity Recognition in Biomedical Literature Using Two-Layer Support Vector Machines. ICEIS (2) Feng Liu, Yifei Chen, Bernard Manderick
2007	—	`conf`	Named Entity Recognition in Biomedical Literature: A Comparison of Support Vector Machines and Conditional Random Fields. ICEIS (Selected Papers) Feng Liu, Yifei Chen, Bernard Manderick
2006	B	`conf`	Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI Stijn Meganck, Philippe Leray, Bernard Manderick
2006	—	`conf`	Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick
2005	C	`conf`	A Learning Algorithm for Multi-Agent Causal Models. EUMAS Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
2005	—	`ed.`	BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005 BNAIC Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers
2005	—	`conf`	Causal Inference in Multi-Agent Causal Models. BNAIC Sam Maes, Stijn Meganck, Bernard Manderick
2005	—	`conf`	Causal Inference in Multi-Agent Causal Models. EGC (Ateliers) Bernard Manderick, Sam Maes, Stijn Meganck
2005	Misc	`conf`	Context-Sensitive Kernel Functions: A Distance Function Viewpoint. ICMLC Bram Vanschoenwinkel, Feng Liu, Bernard Manderick
2005	—	`conf`	Context-sensitive Kernel Functions: A Comparison Between Different Context Weights. BNAIC Bram Vanschoenwinkel, Bernard Manderick
2005	—	`conf`	Distributed learning of Multi-Agent Causal Models. IAT Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray
2005	Misc	`conf`	Identification in Chain Multi-Agent Causal Models. FLAIRS Sam Maes, Stijn Meganck, Bernard Manderick
2005	—	`conf`	Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications Sam Maes, Stijn Meganck, Bernard Manderick
2005	—	`conf`	On Support Vector and Relevance Vector Machines. BNAIC Peter Waiganjo Wagacha, Bernard Manderick, Maina Muuro
2004	J	`jnl`	An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems. Synth. Karl Tuyls, Ann Nowé, Tom Lenaerts, Bernard Manderick
2004	—	`conf`	Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data. Deterministic and Statistical Methods in Machine Learning Bram Vanschoenwinkel, Bernard Manderick
2004	—	`conf`	Gene Interaction and Modularisation in a Model for Gene-Regulated Development. Evolvable Hardware Piet van Remortel, Bernard Manderick, Tom Lenaerts
2004	C	`conf`	Substitution matrix based kernel functions for protein secondary structure prediction. ICMLA Bram Vanschoenwinkel, Bernard Manderick
2003	A*	`conf`	A Weighted Polynomial Information Gain Kernel for Resolving Prepositional Phrase Attachment Ambiguities with Support Vector Machines. IJCAI Bram Vanschoenwinkel, Bernard Manderick
2003	—	`conf`	Developmental Effects on Tuneable Fitness Landscapes. ICES Piet van Remortel, Johan Ceuppens, Anne Defaweux, Tom Lenaerts, Bernard Manderick
2003	—	`conf`	Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. ECML Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick
2003	—	`conf`	Identifiability of Causal Effects in a Multi-Agent Causal Model. IAT Sam Maes, Joke Reumers, Bernard Manderick
2003	J	`jnl`	PDB file parser and structure class implemented in Python. Bioinform. Thomas Hamelryck, Bernard Manderick
2002	A	`conf`	An Individual-based Approach To Multi-level Selection. GECCO Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
2002	—	`conf`	Evaluation of a Simple Multi-Level Selection Model. GECCO Late Breaking Papers Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick
2002	—	`conf`	Lineage and Induction in the Development of Evolved Genotypes for Non-uniform 2D CAs. Australian Joint Conference on Artificial Intelligence Piet van Remortel, Tom Lenaerts, Bernard Manderick
2002	C	`conf`	Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA Karl Tuyls, Sam Maes, Bernard Manderick
2002	C	`conf`	Reinforcement Learning in Large State Spaces. RoboCup Karl Tuyls, Sam Maes, Bernard Manderick
2002	—	`conf`	The Robustness of Small Developped SBlock Circuits Using Different Clocking Schemes. Evolvable Hardware Piet van Remortel, Tom Lenaerts, Bernard Manderick
2001	—	`conf`	Transitions in a Simple Evolutionary Model. ECAL Tom Lenaerts, Anne Defaweux, P. Beyens, Bernard Manderick
1998	B	`conf`	Building a Genetic Programming Framework: The Added-Value of Design Patterns. EuroGP Tom Lenaerts, Bernard Manderick
1997	J	`jnl`	Recent Advances in Evolvable Systems - ICES 96 (International Conference on Evolvable Systems). Evol. Comput. Ian Frank, Bernard Manderick, Tetsuya Higuchi
1996	—	`conf`	Evolvable Hardware: An Outlook. ICES Bernard Manderick, Tetsuya Higuchi
1996	—	`conf`	Finding Optimal Representations Using the Crossover Correlation Coefficient. SBIA Piet Spiessens, Bernard Manderick
1995	—	`conf`	Evolvable Hardware and Its Applications to Pattern Recognition and Fault-Tolerant Systems. Towards Evolvable Hardware Tetsuya Higuchi, Masaya Iwata, Isamu Kajitani, Hitoshi Iba, Yuji Hirao, Tatsumi Furuya, Bernard Manderick
1995	—	`conf`	The Usefulness of Recombination. ECAL Wim Hordijk, Bernard Manderick
1994	A	`conf`	Applying Evolvable Hardware to Autonomous Agents. PPSN Tetsuya Higuchi, Hitoshi Iba, Bernard Manderick
1994	A	`conf`	The Weighted Graph Bi-Partitioning Problem: A Look at GA Performance. PPSN Hiroaki Inayoshi, Bernard Manderick
1992	A	`ed.`	Parallel Problem Solving from Nature 2, PPSN-II, Brussels, Belgium, September 28-30, 1992 PPSN Reinhard Männer, Bernard Manderick
1991	—	`conf`	A Massively Parallel Genetic Algorithm: Implementation and First Analysis. ICGA Piet Spiessens, Bernard Manderick
1991	—	`conf`	The Genetic Algorithm and the Structure of the Fitness Landscape. ICGA Bernard Manderick, Mark K. de Weger, Piet Spiessens
1990	A	`conf`	Selectionist Categorization. PPSN Bernard Manderick
1989	—	`conf`	Fine-Grained Parallel Genetic Algorithms. ICGA Bernard Manderick, Piet Spiessens