Publications

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Filters: Keyword is Learning techniques  [Clear All Filters]
Conference Paper
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.
Journal Article
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.
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.
E. T. Idrissi et Idri, A., « Evaluating a Comparing Deep Learning Architectures for Blood Glucose Prediction », Communications in Computer and Information Science, vol. 1400 CCIS, p. 347-365, 2021.
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.
N. Maryame, Najima, D., Hasnae, R., et Rachida, A., « State of the Art of Deep Learning Applications in Sentiment Analysis: Psychological Behavior Prediction », Advances in Intelligent Systems and Computing, vol. 1076, p. 441-451, 2020.

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