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B. El Idrissi, Baina, S., et Baina, K., « Automatic Generation of Ontology from Data Models: A Practical Evaluation of Existing Approaches », in 2013 IEEE SEVENTH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS), 2013.
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. 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. 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., « 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.
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.
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.
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, 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.
N. Idrissi et Zellou, A., « A systematic literature review of sparsity issues in recommender systems », Social Network Analysis and Mining, vol. 10, 2020.
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.
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. El 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., Mamouny, A., et Elmaallam, M., « RDF/OWL storage and management in relational database management systems: A comparative study », Journal of King Saud University - Computer and Information Sciences, vol. 34, p. 7604-7620, 2022.
B. El Idrissi, Baina, S., et Baina, K., « Ontology Learning from Relational Database: How to Label the Relationships Between Concepts? », in BEYOND DATABASES, ARCHITECTURES AND STRUCTURES, BDAS 2015, 2015, vol. 521, p. 235-244.
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.
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 et Zahi, A., « Software Cost Estimation by Classical and Fuzzy Analogy for Web Hypermedia Applications: A replicated study », in 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM), 2013, p. 207-213.
A. Idri, Zakrani, A., Elkoutbi, M., et Abran, A., « Fuzzy radial basis function neural networks for web applications cost estimation », in Innovations'07: 4th International Conference on Innovations in Information Technology, IIT, 2008, p. 576-580.
Aa Idri, Bachiri, Mb, et Fernandez-Aleman, J. Lc, « A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records », Journal of medical systems, vol. 40, p. 50, 2016.
A. Idri, Abnane, I., et Abran, A., « Dealing with Missing Values in Software Project Datasets: A Systematic Mapping Study », in SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING, 2016, vol. 653, p. 1-16.

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