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nebili wafa, farou brahim and seridi hamid (2020) Background subtraction using artificial immune recognition system and single gaussian (airs-sg). mutlimidia tools and applications , 79(380 - 7501), 26099-26121, Springer

Roguia Siouda, MOHAMED NEMISSI and HAMID SERIDI (2020) A genetic algorithm-based deep RBF neural network for medical classification. The 1st international conference on intelligent systems and pattern recognition , Tunis

Berraouna Abdelkader;, Amirat Abdelkrim; and Meslati Djamel (2020) A new approach for workflow evolution using MDA technology Authors:. International Journal of Intelligent Information and Database Systems , No.4,(), , inderscience

Djamel BEKTACHE, Yakoubi Mohamed Amine and Ghoualmi Nacera (2020) Forecasting approach for Blind Spot Collision Alert. Proceedings of the 10th International Conference on Information Systems and Technologies. , Italie

Hafed ZARZOUR, Bashar Al shboul, Mahmoud Al-Ayyoub and Yaser Jararweh (2020) A convolutional neural network-based reviews classification method for explainable recommendations. IEEE 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS) , Paris, France

Hafed ZARZOUR, Yaser Jararweh, Mahmoud M. Hammad and Mohammed Al-Smadi (2020) A long short-term memory deep learning framework for explainable recommendation. IEEE 11th International Conference on Information and Communication Systems , Irbid -Jordan

Hafed ZARZOUR, Yaser Jararweh and Ziad A. Al-Sharif (2020) An Effective Model-Based Trust Collaborative Filtering for Explainable Recommendations. IEEE 11th International Conference on Information and Communication Systems , Irbid -Jordan

nebili wafa, farou brahim and seridi hamid (2019) GMM with Dynamic Management of the Number of Gaussians based on AIRS.. jeri\'2019 , Saida algeria

nebili wafa, hallaci samir and farou brahim (2019) Background subtraction based on a Self-Adjusting MoG. International Journal of Informatics and Applied Mathematics , 2(6990-2667), 73-84

nebili wafa, farou brahim and seridi hamid (2019) Using resources competition and memory cell development to select the best gmm for background subtraction. International Journal of Strategic Information Technology and Applications (IJSITA) , 10(3095-1947), 21-43, igi-global

nebili wafa, farou brahim, seridi hamid and kouahla mohamed nadjib (2019) A new process for selecting the best background representatives based on gmm. International Journal of Informatics and Applied Mathematics , 1(2667-6960), 35-46

Aida CHEFROUR, SOUICI-MESLATI Labiba, Iness Difi and Nesrine Bakkouche (2019) A Novel Incremental Learning Algorithm Based on Incremental Vector Support Machina and Incremental Neural Network Learn++. Revue d'Intelligence Artificielle , 33(3), 181-188, Lavoisier

Aida CHEFROUR and SOUICI-MESLATI Labiba (2019) AMF-IDBSCAN: Incremental Density Based Clustering Algorithm using Adaptive Median Filtering Technique. Informatica , 43(4), 495-506, Slovene Society Informatika

Aida CHEFROUR (2019) Incremental supervised learning: algorithms and applications in pattern recognition. Evolutionary Intelligence , 12(2), 97-112, Springer

Mohamed SOLTANI, Hafed ZARZOUR, Mohamed Chaouki Babahenini, Mahmoud Hammad, Mohammad AL-Smadi and Yaser Jararweh (2019) An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment. IEEE 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS), , Granada, Spain

Hafed ZARZOUR, Ziad A. Al-Sharif and Yaser Jararweh (2019) RecDNNing: a recommender system using deep neural network with user and item embeddings. IEEE 10th International Conference on Information and Communication Systems (ICICS) , Irbid, Jordan

Imed BOUCHRIKA, Nouzha HARRATI, Vanissa Wanick and Gary Wills (2019) Exploring the impact of gamification on student engagement and involvement with e-learning systems. Interactive Learning Environments , In Press(), , Taylor & Francis

Mariem Gnouma, Ammar Ladjailia, Ridha Ejbali and Mourad Zaied (2019) Stacked sparse autoencoder and history of binary motion image for human activity recognition. Multimedia Tools and Applications , 78(2), 2157–2179, Springer

Ammar LADJAILIA, Imed BOUCHRIKA, H. F. Merouani, Nouzha HARRATI and Zohra MAHFOUF (2019) Human activity recognition via optical flow: decomposing activities into basic actions. Neural Computing and Applications , In Press(), , Springer

Roguia Siouda and MAHAMED NEMISSI (2018) An Optimized RBF-Neural Network for Breast Cancer Classification. International Journal of Informatics and Applied Mathematics , 1(2667-6990), 24-34, International Society of Academicians

Mohamed SOLTANI, Hafed ZARZOUR, Mohamed Chaouki Babahenini and Chaouki Chemam (2018) An Affective Tutoring System for Massive Open Online Courses. Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.1, Springer , Genoa , Italy & Hammamet, Tunisia

Hafed ZARZOUR and Mokhtar Sellami (2018) Effects of a linked data based annotation approach on students learning achievement and cognitive load. Interactive Learning Environments , 26(8), 1090-1099, Taylor & Francis

Hafed ZARZOUR and Mokhtar Sellami (2018) An investigation into whether learning performance can be improved by CAALDT. Innovations in Education and Teaching International , 55(6), 625-632, Taylor & Francis

Ammar LADJAILIA, Imed BOUCHRIKA, Nouzha HARRATI and Zohra MAHFOUF (2018) Encoding Human Motion for Automated Activity Recognition in Surveillance Applications. Computer Vision: Concepts, Methodologies, Tools, and Applications , IGI-Global (Ed. ), ردمك : 978-1-522-55204-8 ,

Imed BOUCHRIKA, Nouzha HARRATI, Zohra MAHFOUF and Noureddine GASMALLAH (2018) Evaluating the acceptance of e-learning systems via subjective and objective data analysis. Software Data Engineering for Network eLearning Environments Analytics and Awareness Learning Services , Springer (Ed. ), ردمك : 978-3-319-68317-1 ,