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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., « Random walk based co-occurrence prediction in location-based social networks », in IEEE International Conference on Communications, 2017.
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., « 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.
A. Mountassir, Benbrahim, H., et Berrada, I., « Representing text documents in training document spaces: A novel model for document representation », Journal of Theoretical and Applied Information Technology, vol. 56, p. 30-39, 2013.
A. Mountassir, Benbrahim, H., et Berrada, I., « Some methods to address the problem of unbalanced sentiment classification in an arabic context », in CiSt 2012 - Proceedings: 2012 Colloquium in Information Science and Technology, 2012, p. 43-48.
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, « A novel model for Document Representation », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2013.
A. Mountassir, « A Novel Model for Document Representation », in 2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2013.
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., « A cross-study of sentiment classification on arabic corpora », in Res. and Dev. in Intelligent Syst. XXIX: Incorporating Applications and Innovations in Intel. Sys. XX - AI 2012, 32nd SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel., 2012, p. 259-272.
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., « 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.
A. Mountassir, Benbrahim, H., et Berrada, I., « Addressing the problem of unbalanced data sets in sentiment analysis », in KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, 2012, p. 306-311.
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., « Sentiment classification on arabic corpora: A preliminary cross-study », Document Numerique, vol. 16, p. 73-96, 2013.
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.
C. Mouncif et Bellabdaoui, A., « Blood collection supply chain management: A critical review and future perspective », in 6th International Conference on Optimization and Applications, ICOA 2020 - Proceedings, 2020.
R. Moumen, Chiheb, R., Afia, A. E., et Faizi, R., « Arabic diacritization with gated recurrent unit », in ACM International Conference Proceeding Series, 2018.
R. Moumen et Chiheb, R., « An NLP based text-to-speech synthesizer for Moroccan Arabic », Lecture Notes in Networks and Systems, vol. 49, p. 369-379, 2019.
R. Moumen, Chiheb, R., Faizi, R., et Afia, A. E., « An NLP based text-to-speech synthesizer for Moroccan Arabic », in Proceedings of 2017 International Conference of Cloud Computing Technologies and Applications, CloudTech 2017, 2018, vol. 2018-January, p. 1-5.
R. Moumen, Chiheb, R., et Faizi, R., « Real-time Arabic scene text detection using fully convolutional neural networks », International Journal of Electrical and Computer Engineering, vol. 11, p. 1634-1640, 2021.
R. Moumen, Chiheb, R., Zarra, T., Faizi, R., et A. Afia, E., « A novel text-to-speech synthesizer for processing sms in moroccan Arabic », in Proceedings of International Conference on Computers and Industrial Engineering, CIE, 2017.
R. Moumen, Chiheb, R., Faizi, R., et A. Afia, E., « Evaluation of gated recurrent unit in Arabic diacritization », International Journal of Advanced Computer Science and Applications, vol. 9, p. 360-364, 2018.
K. Moumane et Idri, A., « Using ISO 9126 with QoS DiffServ model for evaluating software quality in mobile environments », in 2014 2nd World Conference on Complex Systems, WCCS 2014, 2014, p. 134-139.

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