Stijn Meganck

According to our database, Stijn Meganck authored at least 22 papers between 2005 and 2013.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2013

GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes.

Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, David Y. Weiss Solís, Colin Molter, Robin Duque, Hugues Bersini, Ann Nowé

IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Batch effect removal methods for microarray gene expression data integration: a survey.

Cosmin Lazar, Stijn Meganck, Jonatan Taminau, David Steenhoff, Alain Coletta, Colin Molter, David Y. Weiss Solís, Robin Duque, Hugues Bersini, Ann Nowé

Briefings Bioinform., 2013

Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure.

Jan Lemeire, Stijn Meganck, Albrecht Zimmermann, Thomas Dhollander

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012

A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis.

Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, Colin Molter, Virginie de Schaetzen, Robin Duque, Hugues Bersini, Ann Nowé

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Conservative independence-based causal structure learning in absence of adjacency faithfulness.

Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu

Int. J. Approx. Reason., 2012

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.

Jonatan Taminau, Stijn Meganck, Cosmin Lazar, David Steenhoff, Alain Coletta, Colin Molter, Robin Duque, Virginie de Schaetzen, David Y. Weiss Solís, Hugues Bersini, Ann Nowé

BMC Bioinform., 2012

Explaining Subgroups through Ontologies.

Anze Vavpetic, Vid Podpecan, Stijn Meganck, Nada Lavrac

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

2011

inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.

Jonatan Taminau, David Steenhoff, Alain Coletta, Stijn Meganck, Cosmin Lazar, Virginie de Schaetzen, Robin Duque, Colin Molter, Hugues Bersini, Ann Nowé, David Y. Weiss Solís

Bioinform., 2011

Inferring the causal decomposition under the presence of deterministic relations.

Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu, Alexander R. Statnikov

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness.

Jonatan Taminau, Stijn Meganck, Cosmin Lazar, David Y. Weiss Solís, Alain Coletta, Nic Walker, Hugues Bersini, Ann Nowé

Proceedings of the Computational Systems-Biology and Bioinformatics, 2010

2009

Validation of Merging Techniques for Cancer Microarray Data Sets.

Jonatan Taminau, Stijn Meganck, David Y. Weiss Solís, Wilma van Staveren, Geneviève Dom, David Venet, Hugues Bersini, Vincent Detours, Ann Nowé

Aust. J. Intell. Inf. Process. Syst., 2009

2008

Causal Graphical Models with Latent Variables: Learning and Inference.

Philippe Leray, Stijn Meganck, Sam Maes, Bernard Manderick

Proceedings of the Innovations in Bayesian Networks: Theory and Applications, 2008

Towards an Integral Approach for Modeling Causality.

Stijn Meganck

PhD thesis, 2008

2007

Inference in multi-agent causal models.

Sam Maes, Stijn Meganck, Bernard Manderick

Int. J. Approx. Reason., 2007

Causal Graphical Models with Latent Variables: Learning and Inference.

Stijn Meganck, Philippe Leray, Bernard Manderick

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006

Learning Semi-Markovian Causal Models using Experiments.

Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach.

Stijn Meganck, Philippe Leray, Bernard Manderick

Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

2005

Distributed learning of Multi-Agent Causal Models.

Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Identification in Chain Multi-Agent Causal Models.

Sam Maes, Stijn Meganck, Bernard Manderick

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Causal Inference in Multi-Agent Causal Models.

Bernard Manderick, Sam Maes, Stijn Meganck

Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

A Learning Algorithm for Multi-Agent Causal Models.

Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray

Proceedings of the EUMAS 2005, 2005

Identification of Causal Effects in Multi-Agent Causal Models.

Sam Maes, Stijn Meganck, Bernard Manderick

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005