Publications

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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.
C. Meshram, Imoize, A. L., Elhassouny, A., Aljaedi, A., Alharbi, A. R., et Jamal, S. S., « IBOOST: A Lightweight Provably Secure Identity-Based Online/Offline Signature Technique Based on FCM for Massive Devices in 5G Wireless Sensor Networks », IEEE Access, vol. 9, p. 131336-131347, 2021.
H. Saadaoui, Bouanani, F. E., et Illi, E., « Information sharing based on local pso for uavs cooperative search of moved targets », IEEE Access, vol. 9, p. 134998-135011, 2021.
M. A. Marhraoui, Idrissi, M. A. J., et A. Manouar, E., « An integrated human-AI Framework towards organizational agility and sustainable performance », in Proceedings - 2021 International Conference on Digital Age and Technological Advances for Sustainable Development, ICDATA 2021, 2021, p. 133-139.
H. L’Amrani, Y. Idrissi, E. Bouzekri E., et Ajhoun, R., « Intermediary Technical Interoperability Component TIC Connecting Heterogeneous Federation Systems », Studies in Computational Intelligence, vol. 919, p. 521-539, 2021.
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. Illi, Bouanani, F. E., Da Costa, D. B., Sofotasios, P. C., Ayoub, F., Mezher, K., et Muhaidat, S., « Physical Layer Security of a Dual-Hop Regenerative Mixed RF/UOW System », IEEE Transactions on Sustainable Computing, vol. 6, p. 90-104, 2021.
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.
N. Drissi, Ouhbi, S., Marques, G., I. Díez, D. La Torre, Ghogho, M., et Idrissi, M. A. Janati, « A Systematic Literature Review on e-Mental Health Solutions to Assist Health Care Workers during COVID-19 », Telemedicine and e-Health, vol. 27, p. 594-602, 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.
2020
K. Imgharene, Doumi, K., et Baina, S., « Agility metrics model for Business IT Alignment », in 7th International Conference on Control, Decision and Information Technologies, CoDIT 2020, 2020, p. 662-667.
N. Drissi, Ouhbi, S., Idrissi, M. Abdou Jana, et Ghogho, M., « An analysis on self-management and treatment-related functionality and characteristics of highly rated anxiety apps », International Journal of Medical Informatics, vol. 141, p. 104243, 2020.
N. Drissi, Ouhbi, S., Idrissi, M. A. Janati, et Ghogho, M., « An analysis on self-management and treatment-related functionality and characteristics of highly rated anxiety apps », International Journal of Medical Informatics, vol. 141, 2020.
H. Hakkoum, Idri, A., et Abnane, I., « Artificial Neural Networks Interpretation Using LIME for Breast Cancer Diagnosis », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 15-24, 2020.
A. Idri, Bouchra, E. O., Hosni, M., et Abnane, I., « Assessing the impact of parameters tuning in ensemble based breast Cancer classification », Health and Technology, vol. 10, p. 1239-1255, 2020.
I. Chlioui, Abnane, I., et Idri, A., « Comparing Statistical and Machine Learning Imputation Techniques in Breast Cancer Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12252 LNCS, p. 61-76, 2020.
M. Bachiri, Idri, A., Rachad, T., Alami, H., et Redman, L. M., « A Complete Prenatal Solution for a Reproductive Health Unit in Morocco », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 36-43, 2020.
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review. », Computer Methods and Programs in Biomedicine, vol. 195, 2020.
H. Benhar, Idri, A., et Fernández-Alemán, J. L., « Data preprocessing for heart disease classification: A systematic literature review », Computer Methods and Programs in Biomedicine, vol. 195, p. 105635, 2020.
I. Chlioui, Idri, A., et Abnane, I., « Data preprocessing in knowledge discovery in breast cancer: systematic mapping study », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 8, p. 547-561, 2020.

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