Blaise Hanczar

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 16

Top Topics

Cascade Classifier

Support Vector Machines For Classification

Top Venues

Publications

Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion. CoRR (2024)
Aurélien Beaude, Milad Rafiee Vahid, Franck Augé, Farida Zehraoui, Blaise Hanczar
AttOmics: attention-based architecture for diagnosis and prognosis from omics data. Bioinform. 39 (Supplement-1) (2023)
Alice Lacan, Michèle Sebag, Blaise Hanczar
GAN-based data augmentation for transcriptomics: survey and comparative assessment. Bioinform. 39 (Supplement-1) (2023)
Blaise Hanczar, Victoria Bourgeais, Farida Zehraoui
Assessment of deep learning and transfer learning for cancer prediction based on gene expression data. BMC Bioinform. 23 (1) (2022)
Ayoub Abraich, Agathe Guilloux, Blaise Hanczar
SurvCaus : Representation Balancing for Survival Causal Inference. CoRR (2022)
Blaise Hanczar, Avner Bar-Hen
CASCARO: Cascade of classifiers for minimizing the cost of prediction. Pattern Recognit. Lett. 149 (2021)
Victoria Bourgeais, Farida Zehraoui, Mohamed Ben Hamdoune, Blaise Hanczar
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data. BMC Bioinform. (10) (2021)
Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel
Deep Learning for In-Vehicle Intrusion Detection System. ICONIP (4) (2020)
Blaise Hanczar, Farida Zehraoui, Tina Issa, Mathieu Arles
Biological interpretation of deep neural network for phenotype prediction based on gene expression. BMC Bioinform. 21 (1) (2020)
Blaise Hanczar
Performance visualization spaces for classification with rejection option. Pattern Recognit. 96 (2019)
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar
Interpretable Cascade Classifiers with Abstention. AISTATS (2019)
Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel
An Encoding Adversarial Network for Anomaly Detection. ACML (2019)
Blaise Hanczar, Mohamed Nadif
Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices. ECML/PKDD (1) (2018)
Blaise Hanczar, Jean-Daniel Zucker
An approach to optimizing abstaining area for small sample data classification. Expert Syst. Appl. 95 (2018)
Blaise Hanczar, Avner Bar-Hen
Controlling the Cost of Prediction in using a Cascade of Reject Classifiers for Personalized Medicine. BIOINFORMATICS (2016)
Blaise Hanczar, Mohamed Nadif
Compromis précision-rappel dans l'évaluation des performances. EGC (2015)
Blaise Hanczar, Mohamed Nadif
Aggregation of Biclustering Solutions for Ensemble Approach. ICPRAM (Selected Papers) (2014)
David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker
Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method. ICPRAM (2014)
Blaise Hanczar, Mohamed Nadif
Unsupervised Consensus Functions Applied to Ensemble Biclustering. ICPRAM (2014)
Blaise Hanczar, Michèle Sebag
Combination of One-Class Support Vector Machines for Classification with Reject Option. ECML/PKDD (1) (2014)
David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker
Analysis of feature selection stability on high dimension and small sample data. Comput. Stat. Data Anal. 71 (2014)
Blaise Hanczar, Mohamed Nadif
Precision-recall space to correct external indices for biclustering. ICML (2) (2013)
Blaise Hanczar, Edward R. Dougherty
The reliability of estimated confidence intervals for classification error rates when only a single sample is available. Pattern Recognit. 46 (3) (2013)
Blaise Hanczar, Avner Bar-Hen
A New Measure of Classifier Performance for Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker
Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task. BIBE (2012)
Blaise Hanczar, Mohamed Nadif
Ensemble methods for biclustering tasks. Pattern Recognit. 45 (11) (2012)
Blaise Hanczar, Mohamed Nadif
Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods. DEXA Workshops (2011)
Blaise Hanczar, Mohamed Nadif
Using the bagging approach for biclustering of gene expression data. Neurocomputing 74 (10) (2011)
Blaise Hanczar, Corneliu Henegar, Jean-Daniel Zucker
Exploring interaction measures to identify informative pairs of genes. Int. J. Bioinform. Res. Appl. 6 (6) (2010)
Blaise Hanczar, Mohamed Nadif
Bagged Biclustering for Microarray Data. ECAI (2010)
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Blaise Hanczar
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. MLSB (2010)
Blaise Hanczar, Mohamed Nadif
Bagging for Biclustering: Application to Microarray Data. ECML/PKDD (1) (2010)
Blaise Hanczar, Jianping Hua, Chao Sima, John N. Weinstein, Michael L. Bittner, Edward R. Dougherty
Small-sample precision of ROC-related estimates. Bioinform. 26 (6) (2010)
Blaise Hanczar, Edward R. Dougherty
Classification with reject option in gene expression data. Bioinform. 24 (17) (2008)
Blaise Hanczar, Jianping Hua, Edward R. Dougherty
Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings. EURASIP J. Bioinform. Syst. Biol. 2007 (2007)
Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta
Feature construction from synergic pairs to improve microarray-based classification. Bioinform. 23 (21) (2007)
Blaise Hanczar, Jean-Daniel Zucker
Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs. CAP (2005)
Blaise Hanczar
Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data. SARA (2005)
Blaise Hanczar, Mélanie Courtine, Arriel Benis, Corneliu Henegar, Karine Clément, Jean-Daniel Zucker
Improving classification of microarray data using prototype-based feature selection. SIGKDD Explor. 5 (2) (2003)