Publications

Export 2330 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
M
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.
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 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.
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.
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., « 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., « Sentiment classification on arabic corpora: A preliminary cross-study », Document Numerique, vol. 16, p. 73-96, 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., « 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., « 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., « 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, « 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 », 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.

Pages

Partenaires

LIENS UTILES

Localisation

Lien Google Maps

Location map

Suivez-nous sur

         

    

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

  Télécopie : (+212) 5 37 68 60 78

  Secrétariat de direction : 06 61 48 10 97

        Secrétariat général : 06 61 34 09 27

        Service des affaires financières : 06 61 44 76 79

        Service des affaires estudiantines : 06 62 77 10 17 / n.mhirich@um5s.net.ma

        CEDOC ST2I : 06 66 39 75 16

        Résidences : 06 61 82 89 77

Contacts

    

    Compteur de visiteurs:631,534
    Education - This is a contributing Drupal Theme
    Design by WeebPal.