Publications

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Filters: Keyword is Machine learning  [Clear All Filters]
Conference Paper
I. Choukri, Guermah, H., Daosabah, A., et Nassar, M., « Context aware Hidden Markov Model for Intention process mining », in 5th International Conference on Intelligent Computing in Data Sciences, ICDS 2021, 2021.
A. Boumahdi, M. Hamlaoui, E., et Nassar, M., « Crisis management systems: Big data and machine learning approach », in ENASE 2020 - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, 2020, p. 603-610.
Z. Rachidi, Chougdali, K., Kobbane, A., et Ben-Othman, J., « Network intrusion detection using Machine Learning approach », in ACM International Conference Proceeding Series, 2022, p. 13-17.
S. Baina et Rihi, A., « NEW INSIGHT OF DATA MINING-BASED FRAUD DETECTION IN FINANCIAL IT-SYSTEMS », in Proceedings of the 15th IADIS International Conference Information Systems 2022, IS 2022, 2022, p. 73-80.
F. Z. Trabelsi, Khtira, A., et B. Asri, E., « Towards an Approach of Recommendation in Business Processes Using Decision Trees », in Proceedings - 2021 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2021, 2021, p. 341-347.
Journal Article
H. Hakkoum, Idri, A., et Abnane, I., « Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 9, p. 587-599, 2021.
C. Asaad et Ghogho, M., « AsthmaKGxE: An asthma–environment interaction knowledge graph leveraging public databases and scientific literature », Computers in Biology and Medicine, vol. 148, 2022.
B. ElOuassif, Idri, A., Hosni, M., et Abran, A., « Classification techniques in breast cancer diagnosis: A systematic literature review », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 9, p. 50-77, 2021.
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review. », Computer Methods and Programs in Biomedicine, vol. 195, 2020.
I. Chlioui, Idri, A., et Abnane, I., « Data preprocessing in knowledge discovery in breast cancer: systematic mapping study », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 8, p. 547-561, 2020.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
K. Elghomary, Bouzidi, D., et Daoudi, N., « Design of a Smart MOOC Trust Model: Towards a Dynamic Peer Recommendation to Foster Collaboration and Learner’s Engagement », International Journal of Emerging Technologies in Learning, vol. 17, p. 36-56, 2022.
A. Houmz, Mezzour, G., Zkik, K., Ghogho, M., et Benbrahim, H., « Detecting the impact of software vulnerability on attacks: A case study of network telescope scans », Journal of Network and Computer Applications, vol. 195, 2021.
M. Z. Wadghiri, Idri, A., T. Idrissi, E., et Hakkoum, H., « Ensemble blood glucose prediction in diabetes mellitus: A review », Computers in Biology and Medicine, vol. 147, 2022.
E. A. Hafidy, Rachad, T., Idri, A., et Zellou, A., « Gamified mobile applications for improving driving behavior: A systematic mapping study », Mobile Information Systems, vol. 2021, 2021.
M. Rhanoui, Mikram, M., Yousfi, S., Kasmi, A., et Zoubeidi, N., « A hybrid recommender system for patron driven library acquisition and weeding », Journal of King Saud University - Computer and Information Sciences, 2020.
M. Benkhalifa, Mouradi, A., et Bouyakhf, H., « Integrating WordNet knowledge to supplement training data in semi-supervised agglomerative hierarchical clustering for text categorization. », International Journal of Intelligent Systems, vol. 16, p. 929 - 947, 2001.
H. G. Merabet, Essaaidi, M., Ben Haddou, M., Qolomany, B., Qadir, J., Anan, M., Al-Fuqaha, A., Abid, M. R., et Benhaddou, D., « Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques », Renewable and Sustainable Energy Reviews, vol. 144, 2021.
A. Yassine, Mohamed, L., et M. Achhab, A., « Intelligent recommender system based on unsupervised machine learning and demographic attributes », Simulation Modelling Practice and Theory, vol. 107, 2021.
H. Hakkoum, Abnane, I., et Idri, A., « Interpretability in the medical field: A systematic mapping and review study », Applied Soft Computing, vol. 117, 2022.
A. Ismaili-Alaoui, Baina, K., et Benali, K., « IoDEP: Towards an IoT-Data Analysis and Event Processing Architecture for Business Process Incident Management », International Journal of Advanced Computer Science and Applications, vol. 13, p. 900-915, 2022.
H. Zerouaoui, Idri, A., et K. Asnaoui, E., « Machine Learning and Image Processing for Breast Cancer: A Systematic Map », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 44-53, 2020.
H. Kamri et Bounabat, B., « Machine Learning Approach for Smart Self-diagnosing Autonomic Computing Systems », Advances in Intelligent Systems and Computing, vol. 1105 AISC, p. 298-307, 2020.
I. Gryech, Ghogho, M., Elhammouti, H., Sbihi, N., et Kobbane, A., « Machine learning for air quality prediction using meteorological and traffic related features », Journal of Ambient Intelligence and Smart Environments, vol. 12, p. 379-391, 2020.
A. Sebbar, Zkik, K., Baddi, Y., Boulmalf, M., et Kettani, M. D. E. - C. E., « MitM detection and defense mechanism CBNA-RF based on machine learning for large-scale SDN context », Journal of Ambient Intelligence and Humanized Computing, vol. 11, p. 5875-5894, 2020.

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