Blaise Hanczar

48 papers A 2C 4Journal 28Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarial Domain Adaptation Enables Knowledge Transfer Across Heterogeneous RNA-Seq Datasets.
CoRR
Kevin Dradjat, Massinissa Hamidi, Blaise Hanczar
2025 J jnl
CrossAttOmics: multiomics data integration with cross-attention.
Bioinform.
Aurélien Beaude, Franck Augé, Farida Zehraoui, Blaise Hanczar
2025 J jnl
Deep Generative Models for Discrete Genotype Simulation.
CoRR
Sihan Xie, Thierry Tribout, Didier Boichard, Blaise Hanczar, Julien Chiquet, Eric Barrey
2025 — conf
ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion.
KDD (1)
Alex Lence, Federica Granese, Ahmad Fall, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2025 J jnl
IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability.
CoRR
Ahmad Fall, Federica Granese, Alex Lence, Dominique Fourer, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2025 J jnl
Self-supervised learning on gene expression data.
CoRR
Kevin Dradjat, Massinissa Hamidi, Pierre Bartet, Blaise Hanczar
2025 J jnl
Self-supervised representation learning on gene expression data.
Bioinform.
Kevin Dradjat, Massinissa Hamidi, Pierre Bartet, Blaise Hanczar
2024 J jnl
ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion.
CoRR
Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti
2024 — conf
Frugal Generative Modeling for Tabular Data.
ECML/PKDD (8)
Alice Lacan, Blaise Hanczar, Michèle Sebag
2023 J jnl
AttOmics: attention-based architecture for diagnosis and prognosis from omics data.
Bioinform.
Aurélien Beaude, Milad Rafiee Vahid, Franck Augé, Farida Zehraoui, Blaise Hanczar
2023 J jnl
GAN-based data augmentation for transcriptomics: survey and comparative assessment.
Bioinform.
Alice Lacan, Michèle Sebag, Blaise Hanczar
2022 J jnl
Assessment of deep learning and transfer learning for cancer prediction based on gene expression data.
BMC Bioinform.
Blaise Hanczar, Victoria Bourgeais, Farida Zehraoui
2022 J jnl
GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expression.
Bioinform.
Victoria Bourgeais, Farida Zehraoui, Blaise Hanczar
2022 J jnl
SurvCaus : Representation Balancing for Survival Causal Inference.
CoRR
Ayoub Abraich, Agathe Guilloux, Blaise Hanczar
2021 J jnl
CASCARO: Cascade of classifiers for minimizing the cost of prediction.
Pattern Recognit. Lett.
Blaise Hanczar, Avner Bar-Hen
2021 J jnl
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.
BMC Bioinform.
Victoria Bourgeais, Farida Zehraoui, Mohamed Ben Hamdoune, Blaise Hanczar
2020 J jnl
Biological interpretation of deep neural network for phenotype prediction based on gene expression.
BMC Bioinform.
Blaise Hanczar, Farida Zehraoui, Tina Issa, Mathieu Arles
2020 — conf
Deep Learning for In-Vehicle Intrusion Detection System.
ICONIP (4)
Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel
2019 C conf
An Encoding Adversarial Network for Anomaly Detection.
ACML
Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel
2019 A conf
Interpretable Cascade Classifiers with Abstention.
AISTATS
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar
2019 J jnl
Performance visualization spaces for classification with rejection option.
Pattern Recognit.
Blaise Hanczar
2018 J jnl
An approach to optimizing abstaining area for small sample data classification.
Expert Syst. Appl.
Blaise Hanczar, Jean-Daniel Zucker
2018 — conf
Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices.
ECML/PKDD (1)
Blaise Hanczar, Mohamed Nadif
2016 — conf
Controlling the Cost of Prediction in using a Cascade of Reject Classifiers for Personalized Medicine.
BIOINFORMATICS
Blaise Hanczar, Avner Bar-Hen
2015 — conf
Compromis précision-rappel dans l'évaluation des performances.
EGC
Blaise Hanczar, Mohamed Nadif
2014 — conf
Aggregation of Biclustering Solutions for Ensemble Approach.
ICPRAM (Selected Papers)
Blaise Hanczar, Mohamed Nadif
2014 J jnl
Analysis of feature selection stability on high dimension and small sample data.
Comput. Stat. Data Anal.
David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker
2014 — conf
Combination of One-Class Support Vector Machines for Classification with Reject Option.
ECML/PKDD (1)
Blaise Hanczar, Michèle Sebag
2014 C conf
Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method.
ICPRAM
David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker
2014 C conf
Unsupervised Consensus Functions Applied to Ensemble Biclustering.
ICPRAM
Blaise Hanczar, Mohamed Nadif
2013 — conf
Precision-recall space to correct external indices for biclustering.
ICML (2)
Blaise Hanczar, Mohamed Nadif
2013 J jnl
The reliability of estimated confidence intervals for classification error rates when only a single sample is available.
Pattern Recognit.
Blaise Hanczar, Edward R. Dougherty
2012 J jnl
A New Measure of Classifier Performance for Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Blaise Hanczar, Avner Bar-Hen
2012 J jnl
Ensemble methods for biclustering tasks.
Pattern Recognit.
Blaise Hanczar, Mohamed Nadif
2012 C conf
Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task.
BIBE
David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker
2011 — conf
Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods.
DEXA Workshops
Blaise Hanczar, Mohamed Nadif
2011 J jnl
Using the bagging approach for biclustering of gene expression data.
Neurocomputing
Blaise Hanczar, Mohamed Nadif
2010 — conf
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option.
MLSB
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Blaise Hanczar
2010 A conf
Bagged Biclustering for Microarray Data.
ECAI
Blaise Hanczar, Mohamed Nadif
2010 — conf
Bagging for Biclustering: Application to Microarray Data.
ECML/PKDD (1)
Blaise Hanczar, Mohamed Nadif
2010 J jnl
Exploring interaction measures to identify informative pairs of genes.
Int. J. Bioinform. Res. Appl.
Blaise Hanczar, Corneliu Henegar, Jean-Daniel Zucker
2010 J jnl
Small-sample precision of ROC-related estimates.
Bioinform.
Blaise Hanczar, Jianping Hua, Chao Sima, John N. Weinstein, Michael L. Bittner, Edward R. Dougherty
2008 J jnl
Classification with reject option in gene expression data.
Bioinform.
Blaise Hanczar, Edward R. Dougherty
2007 J jnl
Decorrelation of the True and Estimated Classifier Errors in High-Dimensional Settings.
EURASIP J. Bioinform. Syst. Biol.
Blaise Hanczar, Jianping Hua, Edward R. Dougherty
2007 J jnl
Feature construction from synergic pairs to improve microarray-based classification.
Bioinform.
Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta
2005 — conf
Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data.
SARA
Blaise Hanczar
2005 — conf
Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs.
CAP
Blaise Hanczar, Jean-Daniel Zucker
2003 J jnl
Improving classification of microarray data using prototype-based feature selection.
SIGKDD Explor.
Blaise Hanczar, Mélanie Courtine, Arriel Benis, Corneliu Henegar, Karine Clément, Jean-Daniel Zucker