Equipe OSSIG : Ontologies Spatiales et Systèmes d’Information Géographiques

L'équipe OSSIG (Ontologies Spatiales et Systèmes d’Information Géographiques) s'intéresse aux axes de recherche suivants:

3 dernières thèses soutenues
Abdelkrim Bouramoul
Recherche d’information contextuelle et sémantique sur le web
il y a 11 ans
Kamel Houari
Recherche d’images par le contenu
il y a 13 ans
5 dernières publications
Mohamed Raouf Kanfoud; Abdelkrim Bouramoul
SentiCode: A new paradigm for one-time training and global prediction in multilingual sentiment analysis. J. of Intelligent Information Systems 59(2): 501-522 (2022)
Tarablesse Settou; Mohamed-Khireddine Kholladi; Abdelkamel Ben Ali
Improving damage classification via hybrid deep learning feature representations derived from post-earthquake aerial images. Int. J. of Image and Data Fusion 13(1): 1-20 (2022)
Oum Elhana Maamra; Mohamed-Khireddine Kholladi; Okba Kazar; Saad Harous
Smart-Approach Based Internet of Things and Skyline Query for Multicriteria Decisions for Travel Services.. Ingénierie des Systèmes d'Information 27(1): 101-109 (2022)
Wafia Abada; Abdelkrim Bouramoul
Using Machine Learning Techniques to Predict People At-Risk for Drug Addiction: A Bayesian-Based Model. 4th Int. Conf. on Pattern Analysis and Intelligent Systems (PAIS'22): 1-7 (2022)
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)