Blaise Hanczar
Orcid: 0000-0002-5606-8296
According to our database1,
Blaise Hanczar
authored at least 38 papers
between 2003 and 2023.
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Bibliography
2023
Bioinform., 2023
Bioinform., 2023
2022
Assessment of deep learning and transfer learning for cancer prediction based on gene expression data.
BMC Bioinform., 2022
2021
Pattern Recognit. Lett., 2021
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.
BMC Bioinform., 2021
2020
Biological interpretation of deep neural network for phenotype prediction based on gene expression.
BMC Bioinform., 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
Pattern Recognit., 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
Expert Syst. Appl., 2018
Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
2016
Controlling the Cost of Prediction in using a Cascade of Reject Classifiers for Personalized Medicine.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
2015
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015
2014
Comput. Stat. Data Anal., 2014
Combination of One-Class Support Vector Machines for Classification with Reject Option.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Pattern Recognition Applications and Methods, 2014
Proceedings of the ICPRAM 2014, 2014
Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method.
Proceedings of the ICPRAM 2014, 2014
2013
The reliability of estimated confidence intervals for classification error rates when only a single sample is available.
Pattern Recognit., 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
IEEE ACM Trans. Comput. Biol. Bioinform., 2012
Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012
2011
Neurocomputing, 2011
Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods.
Proceedings of the 2011 Database and Expert Systems Applications, 2011
2010
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010
Int. J. Bioinform. Res. Appl., 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
2008
2007
Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings.
EURASIP J. Bioinform. Syst. Biol., 2007
Bioinform., 2007
2005
Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data.
Proceedings of the Abstraction, 2005
Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005
2003
SIGKDD Explor., 2003