Publications

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E. B. Idrissi, Baina, S., et Baina, K., « Bringing flexibility to ontology learning from relational databases », in Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2016, vol. 2016-July.
S. E. Y. El 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 - Proceedings, 2013, p. 134-141.
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. 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., « 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.
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.
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. 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., 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.
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.
Aa Idri, Abnane, Ia, et Abran, Ab, « Dealing with missing values in software project datasets: A systematic mapping study », Studies in Computational Intelligence, vol. 653, p. 1-16, 2016.
A. Idri, Zakrani, A., et Abran, A., « Functional equivalence between radial basis function neural networks and Fuzzy analogy in software cost estimation », in 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA, 2008.
A. Idri et Kadi, I., « A Data Mining-Based Approach for Cardiovascular Dysautonomias Diagnosis and Treatment », in IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology, 2017, p. 245-252.
A. Idri, Abnane, I., et Abran, A., « Support vector regression-based imputation in analogy-based software development effort estimation », Journal of Software: Evolution and Process, vol. 30, 2018.
Aa Idri, Abnane, Ia, et Abran, Ab, « Missing data techniques in analogy-based software development effort estimation », Journal of Systems and Software, vol. 117, p. 595-611, 2016.
Aa Idri, Hosni, Ma, et Abran, Ab, « Improved estimation of software development effort using Classical and Fuzzy Analogy ensembles », Applied Soft Computing Journal, vol. 49, p. 990-1019, 2016.
A. Idri, Hosni, M., et Abran, A., « Systematic literature review of ensemble effort estimation », JOURNAL OF SYSTEMS AND SOFTWARE, vol. 118, p. 151-175, 2016.

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