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2010 – 2019
- 2013
[j8]Cosmin Lazar, Stijn Meganck, Jonatan Taminau, David Steenhoff, Alain Coletta, Colin Molter, David Y. Weiss Solís, Robin Duque, Hugues Bersini, Ann Nowé:
Batch effect removal methods for microarray gene expression data integration: a survey. Briefings Bioinform. 14(4): 469-490 (2013)- [j7]Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, David Y. Weiss Solís, Colin Molter, Robin Duque, Hugues Bersini, Ann Nowé:
GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 383-392 (2013) - [c13]Jan Lemeire, Stijn Meganck, Albrecht Zimmermann, Thomas Dhollander:
Detecting Marginal and Conditional Independencies between Events and Learning Their Causal Structure. ECSQARU 2013: 376-387 - 2012
- [j6]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:
Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages. BMC Bioinform. 13: 335 (2012) - [j5]Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu:
Conservative independence-based causal structure learning in absence of adjacency faithfulness. Int. J. Approx. Reason. 53(9): 1305-1325 (2012) - [j4]Cosmin Lazar, Jonatan Taminau, Stijn Meganck, David Steenhoff, Alain Coletta, Colin Molter, Virginie de Schaetzen, Robin Duque, Hugues Bersini, Ann Nowé:
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1106-1119 (2012) - [c12]Anze Vavpetic, Vid Podpecan, Stijn Meganck, Nada Lavrac:
Explaining Subgroups through Ontologies. PRICAI 2012: 625-636 - 2011
- [j3]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:
inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO. Bioinform. 27(22): 3204-3205 (2011) - [c11]Jan Lemeire, Stijn Meganck, Francesco Cartella, Tingting Liu, Alexander R. Statnikov:
Inferring the causal decomposition under the presence of deterministic relations. ESANN 2011 - 2010
- [c10]Jonatan Taminau, Stijn Meganck, Cosmin Lazar, David Y. Weiss Solís, Alain Coletta, Nic Walker, Hugues Bersini, Ann Nowé:
Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness. CSBio 2010: 46-57
2000 – 2009
- 2009
- [j2]Jonatan Taminau, Stijn Meganck, David Y. Weiss Solís, Wilma van Staveren, Geneviève Dom, David Venet, Hugues Bersini, Vincent Detours, Ann Nowé:
Validation of Merging Techniques for Cancer Microarray Data Sets. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - 2008
- [b1]Stijn Meganck:
Towards an Integral Approach for Modeling Causality. INSA de Rouen, France, 2008 - [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
- [j1]Sam Maes, Stijn Meganck, Bernard Manderick:
Inference in multi-agent causal models. Int. J. Approx. Reason. 46(2): 274-299 (2007) - [c9]Stijn Meganck, Philippe Leray, Bernard Manderick:
Causal Graphical Models with Latent Variables: Learning and Inference. ECSQARU 2007: 5-16 - 2006
- [c8]Stijn Meganck, Philippe Leray, Bernard Manderick:
Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach. MDAI 2006: 58-69 - [c7]Stijn Meganck, Sam Maes, Philippe Leray, Bernard Manderick:
Learning Semi-Markovian Causal Models using Experiments. Probabilistic Graphical Models 2006: 195-206 - 2005
- [c6]Sam Maes, Stijn Meganck, Bernard Manderick:
Identification of Causal Effects in Multi-Agent Causal Models. Artificial Intelligence and Applications 2005: 178-182 - [c5]Sam Maes, Stijn Meganck, Bernard Manderick:
Causal Inference in Multi-Agent Causal Models. BNAIC 2005: 367-368 - [c4]Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray:
A Learning Algorithm for Multi-Agent Causal Models. EUMAS 2005: 190-201 - [c3]Bernard Manderick, Sam Maes, Stijn Meganck:
Causal Inference in Multi-Agent Causal Models. EGC (Ateliers) 2005: 73-76 - [c2]Sam Maes, Stijn Meganck, Bernard Manderick:
Identification in Chain Multi-Agent Causal Models. FLAIRS 2005: 791-792 - [c1]Stijn Meganck, Sam Maes, Bernard Manderick, Philippe Leray:
Distributed learning of Multi-Agent Causal Models. IAT 2005: 285-288
Coauthor Index
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