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A. Idri et Abnane, I., « Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study », in IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology, 2017, p. 114-121.
Aa Idri, Hassani, Aa, et Abran, Ab, « Assessing RBFN-based software cost estimation models », in Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE, 2013, vol. 2013-January, p. 483-487.
A. Idri, Zakrani, A., Elkoutbi, M., et Abran, A., « Fuzzy radial basis function neural networks for web applications cost estimation », in 2007 INNOVATIONS IN INFORMATION TECHNOLOGIES, VOLS 1 AND 2, 2007, p. 21+.
A. Idri, Amazal, F. Azzahra, et Abran, A., « Analogy-based software development effort estimation: A systematic mapping and review », INFORMATION AND SOFTWARE TECHNOLOGY, vol. 58, p. 206-230, 2015.
A. Idri, Chlioui, I., et B. Ouassif, E., « A systematic map of data analytics in breast cancer », in ACM International Conference Proceeding Series, 2018.
A. Idri, Moumane, K., et Abran, A., « On the Use of Software Quality Standard ISO/IEC9126 in Mobile Environments », in 2013 20TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2013), VOL 1, 2013, p. 1-8.
A. Idri et Cheikhi, L., « A survey of secondary studies in software process improvement », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2017.
Aa Idri, Kadi, Ia, et Benjelloun, Hb, « Heart disease diagnosis using C4.5 algorithms: A case study », in HEALTHINF 2015 - 8th International Conference on Health Informatics, Proceedings; Part of 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015, 2015, p. 397-404.
A. Idri, Abran, A., et Khoshgoftaar, T. M., « Estimating software project effort by analogy based on linguistic values », in EIGHTH IEEE SYMPOSIUM ON SOFTWARE METRICS, PROCEEDINGS, 2002, p. 21-30.
A. Idri, Zahi, A., Mendes, E., et Zakrani, A., « Software cost estimation models using radial basis function neural networks », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4895 LNCS, p. 21-31, 2008.
A. Idri et Kadi, I., « Evaluating a decision making system for cardiovascular dysautonomias diagnosis », SPRINGERPLUS, vol. 5, 2016.
A. Idri, Hosni, M., et Abran, A., « Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles », APPLIED SOFT COMPUTING, vol. 49, p. 990-1019, 2016.
E. T. Idrissi, Idri, A., et Bakkoury, Z., « Data mining techniques in diabetes self-management: A systematic map », Advances in Intelligent Systems and Computing, vol. 746, p. 1142-1152, 2018.
E. B. Idrissi, Baina, S., et Baina, K., « Automatic generation of ontology from data models: A practical evaluation of existing approaches », in Proceedings - International Conference on Research Challenges in Information Science, 2013.
E. B. Idrissi, Baina, S., et Baina, K., « Supporting collaborative work on ontology learning from Relational Databases », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2016, vol. 2016-July.
B. E. Idrissi, Baina, S., et Baina, K., « Upgrading the semantics of the relational model for rich OWL 2 ontology learning », Journal of Theoretical and Applied Information Technology, vol. 68, p. 138-148, 2014.
K. H. Idrissi, Kartit, Z., Kartit, A., et M. Marraki, E., « CKMSA: An anomaly detection process based on K-means and simulated annealing algorithms », International Review on Computers and Software, vol. 11, p. 42-48, 2016.
S. El Yahyaou Idrissi, Zellou, A., et Idri, A., « Towards a Dynamic Mapping in P2P Mediation system », in 2013 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (CSIT), 2013, p. 134-141.
E. T. Idrissi et Idri, A., « Deep Learning for Blood Glucose Prediction: CNN vs LSTM », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12250 LNCS, p. 379-393, 2020.
E. B. Idrissi, Tetou, C., et Doumi, K., « On The Formalization of The TOGAF Content MetaModel Using Ontologies », in 2022 International Conference on Intelligent Systems and Computer Vision, ISCV 2022, 2022.
S. E. Y. El Idrissi, Zellou, A., et Idri, A., « MDPM: An algorithm for mapping discovery in P2P mediation system », Journal of Theoretical and Applied Information Technology, vol. 63, p. 261-273, 2014.
N. Idrissi et Zellou, A., « A systematic literature review of sparsity issues in recommender systems », Social Network Analysis and Mining, vol. 10, 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.
B. E. Idrissi, Baina, S., et Baina, K., « Ontology learning from data models: Advance and the requirement for a database preparation and enrichment process », in 2013 3rd International Symposium ISKO-Maghreb, 2013.
E. B. Idrissi, Baina, S., et Baina, K., « Ontology learning from relational database: How to label the relationships between concepts? », Communications in Computer and Information Science, vol. 521, p. 235-244, 2015.

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