Raisonnement à partir de cas pour la prédiction à partir de bases de données volumineuses constituées de séquences. - Farida Zehraoui; Sandrine Fabre; Rushed Kanawati; Maria Malek; Sylvie Salotti; Eric Janvier (EGC, 2002)

Case Base Maintenance for Improving Prediction Quality. - Farida Zehraoui; Rushed Kanawati; Sylvie Salotti (ICCBR, 2003)

M-SOM-ART: Growing Self Organizing Map for Sequences Clustering and Classification. - Farida Zehraoui; Younès Bennani (ECAI, 2004)

CASEP2: Hybrid Case-Based Reasoning System for Sequence Processing. - Farida Zehraoui; Rushed Kanawati; Sylvie Salotti (ECCBR, 2004)

M-SOM: matricial self organizing map for sequence clustering and classification. - Farida Zehraoui; Younès Bennani (IJCNN, 2004)

New Self-organizing Maps for Multivariate Sequences Processing. - Farida Zehraoui; Younès Bennani (Int. J. Comput. Intell. Appl., 2005)

Hybrid neural network and case based reasoning system for Web user behavior clustering and classification. - Farida Zehraoui; Rushed Kanawati; Sylvie Salotti (Int. J. Hybrid Intell. Syst., 2010)

Towards a piRNA prediction using multiple kernel fusion and support vector machine. - Jocelyn Brayet; Farida Zehraoui; Laurence Jeanson-Leh; David Israeli; Fariza Tahi (Bioinform., 2014)

Detecting time periods of differential gene expression using Gaussian processes: an application to endothelial cells exposed to radiotherapy dose fraction. - Markus Heinonen; Olivier Guipaud; Fabien Milliat; Valérie Buard; Béatrice Micheau; Georges Tarlet; Marc Benderitter; Farida Zehraoui; Florence d'Alché-Buc (Bioinform., 2015)

Self-organizing maps with supervised layer. - Ludovic Platon; Farida Zehraoui; Fariza Tahi (WSOM, 2017)

Localized Multiple Sources Self-Organizing Map. - Ludovic Platon; Farida Zehraoui; Fariza Tahi (ICONIP (3), 2018)

IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejection. - Ludovic Platon; Farida Zehraoui; Abdelhafid Bendahmane; Fariza Tahi (Bioinform., 2018)

Towards a Transparent Deep Ensemble Method Based on Multiagent Argumentation. - Naziha Sendi; Nadia Abchiche-Mimouni; Farida Zehraoui (EXTRAAMAS@AAMAS, 2019)

A new Transparent Ensemble Method based on Deep learning. - Naziha Sendi; Nadia Abchiche-Mimouni; Farida Zehraoui (KES, 2019)

Biological interpretation of deep neural network for phenotype prediction based on gene expression. - Blaise Hanczar; Farida Zehraoui; Tina Issa; Mathieu Arles (BMC Bioinform., 2020)

Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data. - Victoria Bourgeais; Farida Zehraoui; Mohamed Ben Hamdoune; Blaise Hanczar (BMC Bioinform., 2021)

GraphGONet: a self-explaining neural network encapsulating the Gene Ontology graph for phenotype prediction on gene expression. - Victoria Bourgeais; Farida Zehraoui; Blaise Hanczar (Bioinform., 2022)

Assessment of deep learning and transfer learning for cancer prediction based on gene expression data. - Blaise Hanczar; Victoria Bourgeais; Farida Zehraoui (BMC Bioinform., 2022)

Explainable Ensemble Classification Model based on Argumentation. - Nadia Abchiche-Mimouni; Leila Amgoud; Farida Zehraoui (AAMAS, 2023)

AttOmics: attention-based architecture for diagnosis and prognosis from omics data. - Aurélien Beaude; Milad Rafiee Vahid; Franck Augé; Farida Zehraoui; Blaise Hanczar (Bioinform., 2023)

IRSOM2: a web server for predicting bifunctional RNAs. - Guillaume Postic; Christophe Tav; Ludovic Platon; Farida Zehraoui; Fariza Tahi (Nucleic Acids Res., 2023)

Comparison and benchmark of deep learning methods for non-coding RNA classification. - Constance Creux; Farida Zehraoui; François Radvanyi; Fariza Tahi (PLoS Comput. Biol., 2024)