Publications

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Filters: Keyword is Deep learning  [Clear All Filters]
2021
B. Btissam et Driss, B., « Partially Connected Neural Networks for an Efficient Classification of Traffic Signs », in Conference of Open Innovation Association, FRUCT, 2021, vol. 2021-October, p. 16-23.
H. Zerouaoui et Idri, A., « Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging », Journal of Medical Systems, vol. 45, 2021.
A. H. Abdelali, Bourja, O., Haouari, R., Derrouz, H., Zennayi, Y., Bourzex, F., et R. Thami, O. Haj, « Visual Vehicle Tracking via Deep Learning and Particle Filter », Advances in Intelligent Systems and Computing, vol. 1188, p. 517-526, 2021.
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.
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.
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.
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.
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.
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. 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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