Publications

Export 146 results:
Filters: Auteur is Idri, A.  [Clear All Filters]
2020
M. EZZAT et Idri, A., « Reviewing Data Analytics Techniques in Breast Cancer Treatment », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 65-75, 2020.
A. Zakrani, Idri, A., et Hain, M., « Software Effort Estimation Using an Optimal Trees Ensemble: An Empirical Comparative Study », Smart Innovation, Systems and Technologies, vol. 146, p. 72-82, 2020.
M. Kharbouch, Idri, A., Redman, L., Alami, H., Fernandez-Aleman, J. L., et Toval, A., « Software Requirement Catalog on Acceptability, Usability, Internationalization and Sustainability for Contraception mPHRs », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12252 LNCS, p. 894-905, 2020.
E. T. Idrissi, Idri, A., Kadi, I., et Bakkoury, Z., « Strategies of multi-step-ahead forecasting for blood glucose level using LSTM neural networks: A comparative study », in HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, 2020, p. 337-344.
2021
H. Hakkoum, Idri, A., et Abnane, I., « Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 9, p. 587-599, 2021.
H. Zerouaoui, Idri, A., Nakach, F. Z., et Hadri, R. E., « Breast Fine Needle Cytological Classification Using Deep Hybrid Architectures », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12950 LNCS, p. 186-202, 2021.
B. ElOuassif, Idri, A., Hosni, M., et Abran, A., « Classification techniques in breast cancer diagnosis: A systematic literature review », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 9, p. 50-77, 2021.
H. Benbriqa, Abnane, I., Idri, A., et Tabiti, K., « Deep and Ensemble Learning Based Land Use and Land Cover Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12951 LNCS, p. 588-604, 2021.
J. J. López-Jiménez, Fernandez-Aleman, J. L., García-Berná, J. A., González, L. L., Sequeros, O. G., Ros, J. N., de Gea, J. M. Carrillo, Idri, A., et Toval, A., « Effects of gamification on the benefits of student response systems in learning of human anatomy: Three experimental studies », International Journal of Environmental Research and Public Health, vol. 18, 2021.
I. Chlioui, Idri, A., Abnane, I., et EZZAT, M., « Ensemble case based reasoning imputation in breast cancer classification », Journal of Information Science and Engineering, vol. 37, p. 1039-1051, 2021.
M. Z. Wadghiri, Idri, A., et Idrissi, T. E., « Ensemble Regression for Blood Glucose Prediction », Advances in Intelligent Systems and Computing, vol. 1365 AIST, p. 544-554, 2021.
F. A. Amazal et Idri, A., « Estimating software development effort using fuzzy clustering-based analogy », Journal of Software: Evolution and Process, vol. 33, 2021.
E. T. Idrissi et Idri, A., « Evaluating a Comparing Deep Learning Architectures for Blood Glucose Prediction », Communications in Computer and Information Science, vol. 1400 CCIS, p. 347-365, 2021.
E. A. Hafidy, Rachad, T., Idri, A., et Zellou, A., « Gamified mobile applications for improving driving behavior: A systematic mapping study », Mobile Information Systems, vol. 2021, 2021.
I. Abnane, Idri, A., Hosni, M., et Abran, A., « Heterogeneous ensemble imputation for software development effort estimation », in PROMISE 2021 - Proceedings of the 17th International Conference on Predictive Models and Data Analytics in Software Engineering, co-located with ESEC/FSE 2021, 2021, p. 1-10.
E. B. Ouassif, Idri, A., et Hosni, M., « Homogeneous ensemble based support vector machine in breast cancer diagnosis », in HEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021, 2021, p. 352-360.
E. B. Ouassif, Idri, A., et Hosni, M., « Investigating Accuracy and Diversity in Heterogeneous Ensembles for Breast Cancer Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12950 LNCS, p. 263-281, 2021.
M. Kharbouch, Idri, A., Rachad, T., Alami, H., Redman, L., et Stelate, Y., « Mobile Technology for Improved Contraceptive Care in Morocco », Journal of Medical Systems, vol. 45, 2021.
F. E. Boujida, Amazal, F. A., et Idri, A., « Neural networks based software development effort estimation: A systematic mapping study », in Proceedings of the 16th International Conference on Software Technologies, ICSOFT 2021, 2021, p. 102-110.
E. B. Fhel, Sardi, L., et Idri, A., « A Requirements Catalog of Mobile Geographic Information System for Data Collection », Advances in Intelligent Systems and Computing, vol. 1366 AISC, p. 324-336, 2021.
H. Zerouaoui et Idri, A., « Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging », Journal of Medical Systems, vol. 45, 2021.
M. Hosni, de Gea, J. M. Carrillo, Idri, A., M. Bajta, E., Alemán, J. L. Fernández, García-Mateos, G., et Abnane, I., « A systematic mapping study for ensemble classification methods in cardiovascular disease », Artificial Intelligence Review, vol. 54, p. 2827-2861, 2021.
M. Hosni, Idri, A., et Abran, A., « On the value of filter feature selection techniques in homogeneous ensembles effort estimation », Journal of Software: Evolution and Process, vol. 33, 2021.
2022
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 446-455, 2022.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.

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

        Résidences : 06 61 82 89 77

Contacts

    

    Compteur de visiteurs:542,756
    Education - This is a contributing Drupal Theme
    Design by WeebPal.