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Blaise Hanczar

Showing results (1-10 of 20) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 1, 2012
A new measure of classifier performance for gene expression dataBlaise Hanczar, Avner Bar-Hen
Bioinformatics (Oxford, England)|July 16, 2008
Classification with reject option in gene expression dataBlaise Hanczar, Edward R Dougherty
Bioinformatics (Oxford, England)|March 10, 2022
GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expressionVictoria Bourgeais, Farida Zehraoui, Blaise Hanczar
EURASIP Journal on Bioinformatics & Systems Biology|February 22, 2008
Decorrelation of the true and estimated classifier errors in high-dimensional settingsBlaise Hanczar, Jianping Hua, Edward R Dougherty
BMC Bioinformatics|July 5, 2022
Assessment of deep learning and transfer learning for cancer prediction based on gene expression dataBlaise Hanczar, Victoria Bourgeais, Farida Zehraoui
Bioinformatics (Oxford, England)|June 30, 2023
GAN-based data augmentation for transcriptomics: survey and comparative assessmentAlice Lacan, Michèle Sebag, Blaise Hanczar
International Journal of Bioinformatics Research and Applications|March 1, 2011
Exploring interaction measures to identify informative pairs of genesBlaise Hanczar, Corneliu Henegar, Jean-Daniel Zucker
Bioinformatics (Oxford, England)|October 1, 2025
Self-supervised representation learning on gene expression dataKevin Dradjat, Massinissa Hamidi, Pierre Bartet, et al.
BMC Bioinformatics|November 5, 2020
Biological interpretation of deep neural network for phenotype prediction based on gene expressionBlaise Hanczar, Farida Zehraoui, Tina Issa, et al.
Plos One|May 25, 2023
A3SOM, abstained explainable semi-supervised neural network based on self-organizing mapConstance Creux, Farida Zehraoui, Blaise Hanczar, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
IEEE/ACM Transactions on Computational Biology and Bioinformatics|February 1, 2012
A new measure of classifier performance for gene expression dataBlaise Hanczar, Avner Bar-Hen
Bioinformatics (Oxford, England)|July 16, 2008
Classification with reject option in gene expression dataBlaise Hanczar, Edward R Dougherty
Bioinformatics (Oxford, England)|March 10, 2022
GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expressionVictoria Bourgeais, Farida Zehraoui, Blaise Hanczar
EURASIP Journal on Bioinformatics & Systems Biology|February 22, 2008
Decorrelation of the true and estimated classifier errors in high-dimensional settingsBlaise Hanczar, Jianping Hua, Edward R Dougherty
BMC Bioinformatics|July 5, 2022
Assessment of deep learning and transfer learning for cancer prediction based on gene expression dataBlaise Hanczar, Victoria Bourgeais, Farida Zehraoui
Bioinformatics (Oxford, England)|June 30, 2023
GAN-based data augmentation for transcriptomics: survey and comparative assessmentAlice Lacan, Michèle Sebag, Blaise Hanczar
International Journal of Bioinformatics Research and Applications|March 1, 2011
Exploring interaction measures to identify informative pairs of genesBlaise Hanczar, Corneliu Henegar, Jean-Daniel Zucker
Bioinformatics (Oxford, England)|October 1, 2025
Self-supervised representation learning on gene expression dataKevin Dradjat, Massinissa Hamidi, Pierre Bartet, et al.
BMC Bioinformatics|November 5, 2020
Biological interpretation of deep neural network for phenotype prediction based on gene expressionBlaise Hanczar, Farida Zehraoui, Tina Issa, et al.
Plos One|May 25, 2023
A3SOM, abstained explainable semi-supervised neural network based on self-organizing mapConstance Creux, Farida Zehraoui, Blaise Hanczar, et al.
Pageof 2