Publications

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O. E. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « Toward a hybrid machine learning approach for extracting and clustering learners’ behaviours in adaptive educational system », International Journal of Computing Science and Mathematics, vol. 12, p. 117-131, 2020.
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
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.
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.
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.
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.
C
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.
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.
E
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.
H. Elkhoukhi, NaitMalek, Y., Bakhouya, M., Berouine, A., Kharbouch, A., Lachhab, F., Hanifi, M., D. Ouadghiri, E., et Essaaidi, M., « A platform architecture for occupancy detection using stream processing and machine learning approaches », Concurrency and Computation: Practice and Experience, vol. 32, 2020.
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.
G
I. Gryech, Ben-Aboud, Y., Guermah, B., Sbihi, N., Ghogho, M., et Kobbane, A., « Moreair: A low-cost urban air pollution monitoring system », Sensors (Switzerland), vol. 20, 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.
H
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.
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.
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. 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.
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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.
K
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.
R. Khaldi, Alcaraz-Segura, D., Guirado, E., Benhammou, Y., A. Afia, E., Herrera, F., et Tabik, S., « TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning », Earth System Science Data, vol. 14, p. 1377-1411, 2022.
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S. Lamrhari, Ghazi, H. E., Oubrich, M., et Faker, A. E., « A social CRM analytic framework for improving customer retention, acquisition, and conversion », Technological Forecasting and Social Change, vol. 174, 2022.
M
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.
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F. Oudouar, Lazaar, M., et Miloud, Z. E., « A novel approach based on heuristics and a neural network to solve a capacitated location routing problem », Simulation Modelling Practice and Theory, vol. 100, 2020.
R
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.
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.

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