Publications

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Filters: Keyword is Learning algorithms  [Clear All Filters]
2020
B. Karbal et Romadi, R., « A Comparison of Different Machine Learning Algorithms for Intrusion Detection », Communications in Computer and Information Science, vol. 1264, p. 157-169, 2020.
A. Filali, Mlika, Z., Cherkaoui, S., et Kobbane, A., « Preemptive SDN Load Balancing with Machine Learning for Delay Sensitive Applications », IEEE Transactions on Vehicular Technology, vol. 69, p. 15947-15963, 2020.
2021
H. Zerouaoui, Idri, A., Nakach, F. Z., et Hadri, R. E., « Breast Fine Needle Cytological Classification Using Deep Hybrid Architectures », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12950 LNCS, p. 186-202, 2021.
H. Benbriqa, Abnane, I., Idri, A., et Tabiti, K., « Deep and Ensemble Learning Based Land Use and Land Cover Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12951 LNCS, p. 588-604, 2021.
M. Z. Wadghiri, Idri, A., et Idrissi, T. E., « Ensemble Regression for Blood Glucose Prediction », Advances in Intelligent Systems and Computing, vol. 1365 AIST, p. 544-554, 2021.
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.
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. Talei, Benhaddou, D., Gamarra, C., Benbrahim, H., et Essaaidi, M., « Smart building energy inefficiencies detection through time series analysis and unsupervised machine learning », Energies, vol. 14, 2021.
2022
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.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
C. Lahmar et Idri, A., « Deep hybrid architectures for diabetic retinopathy classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2022.
J. Elhachmi, « Distributed reinforcement learning for dynamic spectrum allocation in cognitive radio-based internet of things », IET Networks, vol. 11, p. 207-220, 2022.
A. Filali, Mlika, Z., Cherkaoui, S., et Kobbane, A., « Dynamic SDN-Based Radio Access Network Slicing With Deep Reinforcement Learning for URLLC and eMBB Services », IEEE Transactions on Network Science and Engineering, vol. 9, p. 2174-2187, 2022.
M. A. Ahajjam, D. Licea, B., Ghogho, M., et Kobbane, A., « Experimental investigation of variational mode decomposition and deep learning for short-term multi-horizon residential electric load forecasting », Applied Energy, vol. 326, 2022.
A. Kharbouch, Berouine, A., Elkhoukhi, H., Berrabah, S., Bakhouya, M., D. Ouadghiri, E., et Gaber, J., « Internet-of-Things Based Hardware-in-the-Loop Framework for Model-Predictive-Control of Smart Building Ventilation », Sensors, vol. 22, 2022.
B. Sabiri, Asri, B. E., et Rhanoui, M., « Mechanism of Overfitting Avoidance Techniques for Training Deep Neural Networks », in International Conference on Enterprise Information Systems, ICEIS - Proceedings, 2022, vol. 1, p. 418-427.
R. Faizi et S. Fkihi, E., « A Sentiment Analysis Based Approach for Exploring Student Feedback », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13449 LNCS, p. 52-59, 2022.
A. Abouaomar, Cherkaoui, S., Mlika, Z., et Kobbane, A., « Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach », IEEE Systems Journal, p. 1-12, 2022.

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