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K. Moumane et Idri, A., « Using ISO 9126 with QoS DiffServ Model for Evaluating Software Quality in Mobile Environments », in 2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, p. 134-139.
K. Moumane, Idri, A., et Nafil, K., « An Empirical Evaluation of Mobile Software Usability Using ISO 9126 and QoS DiffServ Model », in NEW TRENDS IN SOFTWARE METHODOLOGIES, TOOLS AND TECHNIQUES, 2016, vol. 286, p. 177-188.
Ka Moumane, Idri, Aa, et Abran, Ab, « Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards », SpringerPlus, vol. 5, 2016.
K. Moumane et Idri, A., « A systematic map of mobile software usability evaluation », Advances in Intelligent Systems and Computing, vol. 746, p. 58-67, 2018.
K. Moumane, Idri, A., et Abran, A., « Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards », SPRINGERPLUS, vol. 5, 2016.
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.
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., 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.
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., 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.
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.
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., « 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., « 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., « 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.
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.

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