Publications

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2022
U. Bayram et Benhiba, L., « Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data », in CLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings, 2022, p. 219-225.
Y. E. Ouatiti, Sayagh, M., Kerzazi, N., et Hassan, A. E., « An empirical study on log level prediction for multi-component systems », IEEE Transactions on Software Engineering, 2022.
E. I. Karfi et S. Fkihi, E., « An Ensemble of Arabic Transformer-based Models for Arabic Sentiment Analysis », International Journal of Advanced Computer Science and Applications, vol. 13, p. 561-567, 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.
B. Sabiri, Asri, B., et Rhanoui, M., « Impact of Hyperparameters on the Generative Adversarial Networks Behavior », in International Conference on Enterprise Information Systems, ICEIS - Proceedings, 2022, vol. 1, p. 428-438.
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.
H. Bouijij, Berqia, A., et Saliah-Hassan, H., « Phishing URL classification using Extra-Tree and DNN », in 10th International Symposium on Digital Forensics and Security, ISDFS 2022, 2022.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13376 LNCS, p. 3-18, 2022.
H. Hammouchi, Nejjari, N., Mezzour, G., Ghogho, M., et Benbrahim, H., « STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk », IEEE Transactions on Dependable and Secure Computing, 2022.
J. J. López-Jiménez, Fernandez-Aleman, J. L., González, L. L., Sequeros, O. G., Valle, B. M., García-Berná, J. A., Idri, A., et Toval, A., « Taking the pulse of a classroom with a gamified audience response system », Computer Methods and Programs in Biomedicine, vol. 213, 2022.
2020
I. Chlioui, Abnane, I., et Idri, A., « Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12252 LNCS, p. 61-76, 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.
Z. Berradi, Lazaar, M., Mahboub, O., et Omara, H., « A comprehensive review of artificial intelligence techniques in financial market », in Colloquium in Information Science and Technology, CIST, 2020, vol. 2020-June, p. 367-371.
B. Bousarhane et Bouzidi, D., « Convolutional Neural Networks for Traffic Signs Recognition », Communications in Computer and Information Science, vol. 1264, p. 73-91, 2020.
E. A. Fazziki, Y. Alami, E. Madani El, O. Aissaoui, E., Y. Allioui, E., et Benbrahim, M., « Improving Collaborative Filtering Approach by Leveraging Opposite Users », Advances in Intelligent Systems and Computing, vol. 1102 AISC, p. 136-145, 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.
E. O. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « Mining Learners’ Behaviors: An Approach Based on Educational Data Mining Techniques », Advances in Intelligent Systems and Computing, vol. 1076, p. 655-670, 2020.
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.
E. O. Aissaoui, Y. Madani, E. Alami El, Oughdir, L., Dakkak, A., et Y. Allioui, E., « A Multiple Linear Regression-Based Approach to Predict Student Performance », Advances in Intelligent Systems and Computing, vol. 1102 AISC, p. 9-23, 2020.
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.
K. Echihabi, Zoumpatianos, K., et Palpanas, T., « Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings », in ACM International Conference Proceeding Series, 2020, vol. Part F162565, p. 1-6.
N. Kerzazi, Tajir, M., Boulouiz, R., Bellaoui, M., et Azizi, M., « Teaching Pedigree Analysis and Risk Calculation for Diagnosis Purposes of Genetic Disease », Advances in Intelligent Systems and Computing, vol. 1159 AISC, p. 472-485, 2020.

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