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Publication search results
found 38 matches
- 2023
- 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): 94-102 (2023) - Alice Lacan, Michèle Sebag, Blaise Hanczar:
GAN-based data augmentation for transcriptomics: survey and comparative assessment. Bioinform. 39(Supplement-1): 111-120 (2023) - 2022
- 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): 262 (2022) - Ayoub Abraich
, Agathe Guilloux, Blaise Hanczar:
SurvCaus : Representation Balancing for Survival Causal Inference. CoRR abs/2203.15672 (2022) - 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. 22-S(10): 455 (2021) - Blaise Hanczar, Avner Bar-Hen:
CASCARO: Cascade of classifiers for minimizing the cost of prediction. Pattern Recognit. Lett. 149: 37-43 (2021) - 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): 501 (2020) - Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel:
Deep Learning for In-Vehicle Intrusion Detection System. ICONIP (4) 2020: 50-58 - 2019
- Blaise Hanczar:
Performance visualization spaces for classification with rejection option. Pattern Recognit. 96 (2019) - Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel:
An Encoding Adversarial Network for Anomaly Detection. ACML 2019: 188-203 - Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar:
Interpretable Cascade Classifiers with Abstention. AISTATS 2019: 2312-2320 - 2018
- Blaise Hanczar, Jean-Daniel Zucker
:
An approach to optimizing abstaining area for small sample data classification. Expert Syst. Appl. 95: 153-161 (2018) - Blaise Hanczar, Mohamed Nadif:
Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices. ECML/PKDD (1) 2018: 687-702 - 2016
- Blaise Hanczar, Avner Bar-Hen:
Controlling the Cost of Prediction in using a Cascade of Reject Classifiers for Personalized Medicine. BIOINFORMATICS 2016: 42-50 - 2015
- Blaise Hanczar, Mohamed Nadif:
Compromis précision-rappel dans l'évaluation des performances. EGC 2015: 113-124 - 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: 681-693 (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: 325-330 - Blaise Hanczar, Mohamed Nadif:
Unsupervised Consensus Functions Applied to Ensemble Biclustering. ICPRAM 2014: 30-39 - Blaise Hanczar, Mohamed Nadif:
Aggregation of Biclustering Solutions for Ensemble Approach. ICPRAM (Selected Papers) 2014: 19-34 - Blaise Hanczar, Michèle Sebag:
Combination of One-Class Support Vector Machines for Classification with Reject Option. ECML/PKDD (1) 2014: 547-562 - 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): 1067-1077 (2013) - Blaise Hanczar, Mohamed Nadif:
Precision-recall space to correct external indices for biclustering. ICML (2) 2013: 136-144 - 2012
- Blaise Hanczar, Mohamed Nadif
:
Ensemble methods for biclustering tasks. Pattern Recognit. 45(11): 3938-3949 (2012) - Blaise Hanczar, Avner Bar-Hen:
A New Measure of Classifier Performance for Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1379-1386 (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: 350-355 - 2011
- Blaise Hanczar, Mohamed Nadif
:
Using the bagging approach for biclustering of gene expression data. Neurocomputing 74(10): 1595-1605 (2011) - Blaise Hanczar, Mohamed Nadif:
Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods. DEXA Workshops 2011: 413-417 - 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): 822-830 (2010) - Blaise Hanczar, Corneliu Henegar
, Jean-Daniel Zucker
:
Exploring interaction measures to identify informative pairs of genes. Int. J. Bioinform. Res. Appl. 6(6): 628-642 (2010) - Blaise Hanczar, Mohamed Nadif:
Bagged Biclustering for Microarray Data. ECAI 2010: 1131-1132
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