Farida Zehraoui
Orcid: 0000-0001-6278-1680
According to our database1,
Farida Zehraoui
authored at least 19 papers
between 2002 and 2023.
Collaborative distances:
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Bibliography
2023
Nucleic Acids Res., July, 2023
Bioinform., 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Assessment of deep learning and transfer learning for cancer prediction based on gene expression data.
BMC Bioinform., 2022
2021
Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.
BMC Bioinform., 2021
2020
Biological interpretation of deep neural network for phenotype prediction based on gene expression.
BMC Bioinform., 2020
2019
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019
Proceedings of the Explainable, Transparent Autonomous Agents and Multi-Agent Systems, 2019
2018
IRSOM, a reliable identifier of ncRNAs based on supervised self-organizing maps with rejection.
Bioinform., 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
2015
Detecting time periods of differential gene expression using Gaussian processes: an application to endothelial cells exposed to radiotherapy dose fraction.
Bioinform., 2015
2014
Bioinform., 2014
2010
Hybrid neural network and case based reasoning system for Web user behavior clustering and classification.
Int. J. Hybrid Intell. Syst., 2010
2005
Int. J. Comput. Intell. Appl., 2005
2004
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004
M-SOM-ART: Growing Self Organizing Map for Sequences Clustering and Classification.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004
2003
Proceedings of the Case-Based Reasoning Research and Development, 2003
2002
Raisonnement à partir de cas pour la prédiction à partir de bases de données volumineuses constituées de séquences.
Proceedings of the Extraction et gestion des connaissances (EGC'2002), 2002