default search action
Blaise Hanczar
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c19]Alice Lacan, Blaise Hanczar, Michèle Sebag:
Frugal Generative Modeling for Tabular Data. ECML/PKDD (8) 2024: 55-72 - [i2]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 abs/2406.16901 (2024) - 2023
- [j19]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) - [j18]Alice Lacan, Michèle Sebag, Blaise Hanczar:
GAN-based data augmentation for transcriptomics: survey and comparative assessment. Bioinform. 39(Supplement-1): 111-120 (2023) - 2022
- [j17]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) - [i1]Ayoub Abraich, Agathe Guilloux, Blaise Hanczar:
SurvCaus : Representation Balancing for Survival Causal Inference. CoRR abs/2203.15672 (2022) - 2021
- [j16]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) - [j15]Blaise Hanczar, Avner Bar-Hen:
CASCARO: Cascade of classifiers for minimizing the cost of prediction. Pattern Recognit. Lett. 149: 37-43 (2021) - 2020
- [j14]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) - [c18]Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel:
Deep Learning for In-Vehicle Intrusion Detection System. ICONIP (4) 2020: 50-58
2010 – 2019
- 2019
- [j13]Blaise Hanczar:
Performance visualization spaces for classification with rejection option. Pattern Recognit. 96 (2019) - [c17]Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel:
An Encoding Adversarial Network for Anomaly Detection. ACML 2019: 188-203 - [c16]Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar:
Interpretable Cascade Classifiers with Abstention. AISTATS 2019: 2312-2320 - 2018
- [j12]Blaise Hanczar, Jean-Daniel Zucker:
An approach to optimizing abstaining area for small sample data classification. Expert Syst. Appl. 95: 153-161 (2018) - [c15]Blaise Hanczar, Mohamed Nadif:
Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices. ECML/PKDD (1) 2018: 687-702 - 2016
- [c14]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
- [c13]Blaise Hanczar, Mohamed Nadif:
Compromis précision-rappel dans l'évaluation des performances. EGC 2015: 113-124 - 2014
- [j11]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) - [c12]Blaise Hanczar, Mohamed Nadif:
Aggregation of Biclustering Solutions for Ensemble Approach. ICPRAM (Selected Papers) 2014: 19-34 - [c11]Blaise Hanczar, Mohamed Nadif:
Unsupervised Consensus Functions Applied to Ensemble Biclustering. ICPRAM 2014: 30-39 - [c10]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 - [c9]Blaise Hanczar, Michèle Sebag:
Combination of One-Class Support Vector Machines for Classification with Reject Option. ECML/PKDD (1) 2014: 547-562 - 2013
- [j10]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) - [c8]Blaise Hanczar, Mohamed Nadif:
Precision-recall space to correct external indices for biclustering. ICML (2) 2013: 136-144 - 2012
- [j9]Blaise Hanczar, Mohamed Nadif:
Ensemble methods for biclustering tasks. Pattern Recognit. 45(11): 3938-3949 (2012) - [j8]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) - [c7]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
- [j7]Blaise Hanczar, Mohamed Nadif:
Using the bagging approach for biclustering of gene expression data. Neurocomputing 74(10): 1595-1605 (2011) - [c6]Blaise Hanczar, Mohamed Nadif:
Improving the Biological Relevance of Biclustering for Microarray Data in Using Ensemble Methods. DEXA Workshops 2011: 413-417 - 2010
- [j6]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) - [j5]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) - [c5]Blaise Hanczar, Mohamed Nadif:
Bagged Biclustering for Microarray Data. ECAI 2010: 1131-1132 - [c4]Blaise Hanczar, Mohamed Nadif:
Bagging for Biclustering: Application to Microarray Data. ECML/PKDD (1) 2010: 490-505 - [c3]Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Blaise Hanczar:
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. MLSB 2010: 65-81
2000 – 2009
- 2008
- [j4]Blaise Hanczar, Edward R. Dougherty:
Classification with reject option in gene expression data. Bioinform. 24(17): 1889-1895 (2008) - 2007
- [j3]Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta:
Feature construction from synergic pairs to improve microarray-based classification. Bioinform. 23(21): 2866-2872 (2007) - [j2]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) - 2005
- [c2]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: 247-262 - [c1]Blaise Hanczar:
Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data. SARA 2005: 261-273 - 2003
- [j1]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): 23-30 (2003)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint