Publications

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Filters: Keyword is Convolutional neural networks  [Clear All Filters]
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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.
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B. Bousarhane et Bouzidi, D., « Convolutional Neural Networks for Traffic Signs Recognition », Communications in Computer and Information Science, vol. 1264, p. 73-91, 2020.
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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.
E. T. Idrissi et Idri, A., « Deep Learning for Blood Glucose Prediction: CNN vs LSTM », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12250 LNCS, p. 379-393, 2020.
E
M. A. Ahajjam, Licea, D. B., Ghogho, M., et Kobbane, A., « Electric Power Quality Disturbances Classification based on Temporal-Spectral Images and Deep Convolutional Neural Networks », in 2020 International Wireless Communications and Mobile Computing, IWCMC 2020, 2020, p. 1701-1706.
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.
N. Boudad, Ezzahid, S., Faizi, R., et Thami, R. O. H., « Exploring the Use of Word Embedding and Deep Learning in Arabic Sentiment Analysis », Advances in Intelligent Systems and Computing, vol. 1105 AISC, p. 243-253, 2020.
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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.
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H. Zerouaoui, Idri, A., et O. Alaoui, E., « A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble », Data Technologies and Applications, p. 1-34, 2022.
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O. Bourja, Derrouz, H., Abdelali, H. A., Maach, A., Thami, R. O. H., et Bourzeix, F., « Real Time Vehicle Detection, Tracking, and Inter-vehicle Distance Estimation based on Stereovision and Deep Learning using Yolov3 », International Journal of Advanced Computer Science and Applications, vol. 12, p. 915-923, 2021.

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