Blaise Hanczar

发表

An approach to optimizing abstaining area for small sample data classification

Blaise Hanczar, Jean-Daniel Zucker, Jean-Daniel Zucker, 2018, Expert Syst. Appl..

On the Comparison of Classifiers for Microarray Data

Blaise Hanczar, Edward R. Dougherty, E. Dougherty, 2010 .

Performance of Error Estimators for Classification

Blaise Hanczar, Edward R. Dougherty, Ulisses Braga-Neto, 2010 .

Compromis précision-rappel dans l'évaluation des performances

Blaise Hanczar, Mohamed Nadif, Blaise Hanczar, 2015, EGC.

An Encoding Adversarial Network for Anomaly Detection

Blaise Hanczar, Jean-Christophe Janodet, Elies gherbi, 2019, ACML.

Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task

Blaise Hanczar, Jean-Daniel Zucker, David Dernoncourt, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2018, ECML/PKDD.

Unsupervised Consensus Functions Applied to Ensemble Biclustering

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2014, ICPRAM.

Using the bagging approach for biclustering of gene expression data

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2011, Neurocomputing.

Combination of One-Class Support Vector Machines for Classification with Reject Option

Blaise Hanczar, Michèle Sebag, M. Sebag, 2014, ECML/PKDD.

Controlling the Cost of Prediction in using a Cascade of Reject Classifiers for Personalized Medicine

Blaise Hanczar, Avner Bar-Hen, Avner Bar-Hen, 2016, BIOINFORMATICS.

New Results - Applications to E-science

Blaise Hanczar, Balázs Kégl, Karima Rafes, 2014 .

Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2011, 2011 22nd International Workshop on Database and Expert Systems Applications.

Bagging for Biclustering: Application to Microarray Data

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2010, ECML/PKDD.

Bagged Biclustering for Microarray Data

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2010, ECAI.

Interpretable and accurate prediction models for metagenomics data

Yann Chevaleyre, Blaise Hanczar, Jean-Daniel Zucker, 2018, bioRxiv.

Feature construction from synergic pairs to improve microarray-based classification

Blaise Hanczar, Jean-Daniel Zucker, Lorenza Saitta, 2007, Bioinform..

Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings

Blaise Hanczar, Edward R. Dougherty, Jianping Hua, 2007, EURASIP J. Bioinform. Syst. Biol..

The reliability of estimated confidence intervals for classification error rates when only a single sample is available

Blaise Hanczar, Edward R. Dougherty, E. Dougherty, 2013, Pattern Recognit..

Is There Correlation Between the Estimated and True Classification Errors in Small-Sample Settings?

Blaise Hanczar, Edward R. Dougherty, B. Jianping Hua, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Exploring interaction measures to identify informative pairs of genes

Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, 2010, Int. J. Bioinform. Res. Appl..

Improving classification of microarray data using prototype-based feature selection

Blaise Hanczar, Jean-Daniel Zucker, Arriel Benis, 2003, SKDD.

Phenotypes Prediction from Gene Expression Data with Deep Multilayer Perceptron and Unsupervised Pre-training

Blaise Hanczar, Farida Zehraoui, Mathieu Henriette, 2018 .

Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option

Blaise Hanczar, Jean-Daniel Zucker, Malik Sajjad Ahmed Nadeem, 2009, MLSB.

Performance visualization spaces for classification with rejection option

Blaise Hanczar, B. Hanczar, Blaise Hanczar, 2019, Pattern Recognit..

Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs

Blaise Hanczar, Jean-Daniel Zucker, Blaise Hanczar, 2005, CAP.

Precision-recall space to correct external indices for biclustering

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2013, ICML.

Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data

Blaise Hanczar, Blaise Hanczar, 2005, SARA.

Ensemble methods for biclustering tasks

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2012, Pattern Recognit..

Small-sample precision of ROC-related estimates

Blaise Hanczar, John N. Weinstein, Michael L. Bittner, 2010, Bioinform..

Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method

Blaise Hanczar, Jean-Daniel Zucker, David Dernoncourt, 2014, ICPRAM.

Aggregation of Biclustering Solutions for Ensemble Approach

Blaise Hanczar, Mohamed Nadif, M. Nadif, 2014, ICPRAM.

Analysis of feature selection stability on high dimension and small sample data

Blaise Hanczar, Jean-Daniel Zucker, David Dernoncourt, 2014, Comput. Stat. Data Anal..

Deep Learning for In-Vehicle Intrusion Detection System

Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel, 2020, ICONIP.

Classification with reject option in gene expression data

Blaise Hanczar, Edward R. Dougherty, E. Dougherty, 2008, Bioinform..

A New Measure of Classifier Performance for Gene Expression Data

Blaise Hanczar, Avner Bar-Hen, Avner Bar-Hen, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CASCARO: Cascade of classifiers for minimizing the cost of prediction

Blaise Hanczar, Avner Bar-Hen, 2021, Pattern Recognit. Lett..

Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data

Blaise Hanczar, Farida Zehraoui, Victoria Bourgeais, 2021, BMC Bioinformatics.

Informative Multimodal Unsupervised Image-to-Image Translation

Blaise Hanczar, Tien Tai Doan, Guillaume Ghyselinck, 2021 .