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

Leader

Prof Abdelkrim BOURAMOUL
Univ. Constantine 2

Professors 2 PhD & HDRs 1 PhDs 4 PhD students 8

Statistics

Publications 50 Theses 4 Softwares 0 Events 1

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 2 months 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

	Moustafa Sadek Kahil; Abdelkrim Bouramoul; Makhlouf Derdour Big data visual exploration as a recommendation problem. Int. J. Data Min. Model. Manag. 15(2): 133-153 (2023)
	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)
	Hadri Sid Ahmed; Bouramoul Abdelkrim; Mota Macias José Miguel A Lossless Virtual Reality Based Alternative to Eye-Tracking for Attention Quantification. 2023 Int. Conf. on Decision Aid Sciences and Applications (DASA): 93-96 (2023)