Publications

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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.
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.
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.
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., « 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, 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, « 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., « 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., « 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., « 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., « Sentiment classification on arabic corpora: A preliminary cross-study », Document Numerique, vol. 16, p. 73-96, 2013.
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., « 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.
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, Idri, A., et Abran, A., « Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards », SPRINGERPLUS, vol. 5, 2016.

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