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Z. M’rabet, Ayoub, F., et Belkasmi, M., « A Threshold Decoding Algorithm for Non-binary OSMLD Codes », Communications in Computer and Information Science, vol. 1264, p. 121-133, 2020.
M. C. Muenster, « Autonomy and the future of transportation », in AUVSI XPONENTIAL 2018, 2018.
K. Mrhar, Zary, N., et Abik, M., « Making MOOCs matter in formal education through a federating environment », in Proceedings of the European Conference on e-Learning, ECEL, 2017, vol. 2010-October, p. 557-565.
K. Mrhar et Abik, M., « Towards optimize-ESA for text semantic similarity: A case study of biomedical text », International Journal of Electrical and Computer Engineering, vol. 10, p. 2934-2943, 2020.
K. Mrhar, Douimi, O., Abik, M., et Benabdellah, N. C., « Towards a semantic integration of data from learning platforms », IAES International Journal of Artificial Intelligence, vol. 9, p. 535-544, 2020.
K. Mrhar, Douimi, O., et Abik, M., « A dropout predictor system in moocs based on neural networks », Journal of Automation, Mobile Robotics and Intelligent Systems, vol. 14, p. 72-80, 2020.
E. S. Mrabtt, Lazaar, M., M. Achhab, A., et Omara, H., « Novel Convex Polyhedron Classifier for Sentiment Analysis », in Proceedings of 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, CloudTech 2020, 2020.
K. Mrabet, Bouanani, F. El, et Ben-Azza, H., « A secure multi-hops routing for VANETs », in 2015 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM), 2015, p. 6-10.
Ka Mrabet, Bouanani, F. Ea, et Ben-Azza, Hb, « A secure multi-hops routing for VANETs », in International Conference on Wireless Networks and Mobile Communications, WINCOM 2015, 2015.
R. Mrabet et Kettani, W. D. E. El, « EDILE: Exam distance learning environment », in KNOWLEDGE REVOLUTION, THE IMPACT OF TECHNOLOGY ON LEARNING, PROCEEDINGS, 1998, p. 195-199.
K. Mrabet, F. Bouanani, E., et Ben-Azza, H., « Dependable Decentralized Reputation Management System for Vehicular Ad Hoc Networks », in Proceedings - 4th International Conference on Advanced Communication Technologies and Networking, CommNet 2021, 2021.
A. Moussaid, S. Fkihi, E., et Zennayi, Y., « Tree crowns segmentation and classification in overlapping orchards based on satellite images and unsupervised learning algorithms », Journal of Imaging, vol. 7, 2021.
F. Mourchid, Kobbane, A., Ben Othman, J., et M. Koutbi, E., « CGAM: A community and geography aware mobility model », International Journal of Communication Systems, vol. 31, 2018.
F. Mourchid, Kobbane, A., Ben Othman, J., et M. Koutbi, E., « CGAM: A community and geography aware mobility model », International Journal of Communication Systems, vol. 31, 2018.
F. Mourchid, Habbani, A., et koutbi, M. El, « MINING USER PATTERNS FOR LOCATION PREDICTION IN MOBILE SOCIAL NETWORKS », in 2014 THIRD IEEE INTERNATIONAL COLLOQUIUM IN INFORMATION SCIENCE AND TECHNOLOGY (CIST'14), 2014, p. 213-218.
F. Mourchid, Kobbane, A., Ben Othman, J., et M. Koutbi, E., « Random walk based co-occurrence prediction in location-based social networks », in IEEE International Conference on Communications, 2017.
F. Mourchid, Kobbane, A., Ben Othman, J., et M. Koutbi, E., « A game-theoretic approach for non-overlapping communities detection », in 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017, 2017, p. 1315-1320.
Fa Mourchid, Habbani, Aab, et Koutbi, M. Ea, « Mining user patterns for location prediction in mobile social networks », in Colloquium in Information Science and Technology, CIST, 2015, vol. 2015-January, p. 213-218.
A. Mountassir, Benbrahim, H., et Berrada, I., « New under-sampling methods to address the problem of unbalanced sentiment classification: Application on Arabic datasets », International Journal of Information and Communication Technology, vol. 9, p. 64-77, 2016.
A. Mountassir, Benbrahim, H., et Berrada, I., « An empirical study to address the problem of unbalanced data sets in sentiment classification », in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2012, p. 3298-3303.
A. Mountassir, Benbrahim, H., et Berrada, I., « Some methods to address the problem of Unbalanced Sentiment Classification in an Arabic context », in 2012 COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST'12), 2011, p. 43-48.
A. Mountassir, « A novel model for Document Representation », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2013.
A. Mountassir, Benbrahim, H., et Berrada, I., « The Nearest Centroid Based on Vector Norms: A New Classification Algorithm for a New Document Representation Model », in MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014, 2014, vol. 8556, p. 442-456.
A. Mountassir, Benbrahim, H., et Berrada, I., « The nearest centroid based on vector norms: A new classification algorithm for a new document representation model », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8556 LNAI, p. 442-456, 2014.
A. Mountassir, Benbrahim, H., et Berrada, I., « An empirical study to address the problem of Unbalanced Data Sets in Sentiment Classification », in PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2012, p. 3298-3303.

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