Publications

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Filters: Keyword is Comparative studies  [Clear All Filters]
2021
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.
S. Lahrichi, Rhanoui, M., Mikram, M., et Asri, B. E., « Toward a multimodal multitask model for neurodegenerative diseases diagnosis and progression prediction », in Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, 2021, p. 322-328.
2020
K. Ouaddi, Mhada, F. - Z., et Benadada, Y., « A comparative study of three methods for solving the Mutli-Trip Dynamic Vehicle Routing Problem with Overtime (MTDVRPOT) », in Proceedings - 2020 5th International Conference on Logistics Operations Management, GOL 2020, 2020.
A. Filali, Mlika, Z., Cherkaoui, S., et Kobbane, A., « Preemptive SDN Load Balancing with Machine Learning for Delay Sensitive Applications », IEEE Transactions on Vehicular Technology, vol. 69, p. 15947-15963, 2020.
E. T. Idrissi, Idri, A., Kadi, I., et Bakkoury, Z., « Strategies of multi-step-ahead forecasting for blood glucose level using LSTM neural networks: A comparative study », in HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, 2020, p. 337-344.
O. Reda, Sassi, I., Zellou, A., et Anter, S., « Towards a data quality assessment in big data », in ACM International Conference Proceeding Series, 2020, p. 91-96.
A. Khannat, Sbaï, H., et Kjiri, L., « Towards mining semantically enriched configurable process models », in ACM International Conference Proceeding Series, 2020, p. 20-24.

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