Imene ZENBOUT
Détails
| 5 dernières publications |
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Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul; Mounira Amrane
Efficient Bioinspired Feature Selection and Machine Learning Based Framework Using Omics Data and Biological Knowledge Data Bases in Cancer Clinical Endpoint Prediction. IEEE Access 11(11): 2674-2699 (2023) |
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Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout; Said Brahimi
Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors. 2023 Int. Conf. on Networking and Advanced Systems (ICNAS): 1-7 (2023) |
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Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout; Said Brahimi
Evaluating the Effectiveness of Machine Learning Models for Classifying Chemical Inhibitors: A Case Study of Aromatase Inhibitors and Pubchem's Molecular Fingerprint Descriptors. 2023 Int. Conf. on Networking and Advanced Systems (ICNAS): 1-7 (2023) |
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Imene Zenbout; Abdelkrim Bouramoul; Souham Meshoul
Prediction of Cancer Clinical Endpoints Using Deep Learning and RPPA Data. 2nd Int. Conf. on Artificial Intelligence and Its Applications (AIAP 2021): 65-74 (2022) |
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Ali Abdelkrim; Abdelkrim Bouramoul; Imene Zenbout
Machine Learning Methods In Drug Discovery: A Selective Review. Int. Conf. on Theoretical and Applicative Aspects of Computer Science (ICTAACS): 1-8 (2021) |
| Thèse de doctorat |
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Imene Zenbout
Modèles d'apprentissage automatique pour la génétique et la génomique dans le diagnostic du cancer et la découverte de marqueurs moléculaires. Université Constantine 2, Algérie (2024) |
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