Team AVIAN : Artificial intelligence and Virtual reality for healthcare, and Natural language processing

L'équipe AVIAN (Artificial intelligence and Virtual reality for healthcare, and Natural language processing) s'intéresse aux axes de recherche suivants:

3 recent defended theses
Imene Zenbout
Modèles d'apprentissage automatique pour la génétique et la génomique dans le diagnostic du cancer et la découverte de marqueurs moléculaires
1 month ago
Mohamed Raouf Kanfoud
Analyse des Sentiments dans un Contexte Multilingue à l'Aide de Techniques d'Apprentissage Automatique et de Traitement Automatique des Langages
2 months ago
Abdelkrim Bouramoul
Recherche d’information contextuelle et sémantique sur le web
12 years ago
5 recent publications
Amina Bouhadja; Abdelkrim Bouramoul
Beyond cocaine and heroin use: a stacking ensemble-based framework for predicting the likelihood of subsequent substance use disorder using demographics and personality traits. Int. J. of Computers and Applications 45(11): 722-733 (2023)
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)
Mohamed Raouf Kanfoud; Abdelkrim Bouramoul
Tackling the multilingual and heterogeneous documents with the pre-trained language identifiers. Int. J. of Computers and Applications 45(5): 391-402 (2023)
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)
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)