Publications

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Journal Article
C. Lahmar et Idri, A., « Deep hybrid architectures for diabetic retinopathy classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2022.
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. O. Alaoui, Zerouaoui, H., et Idri, A., « Deep Stacked Ensemble for Breast Cancer Diagnosis », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 435-445, 2022.
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.
S. Ouhbi, Fernandez-Aleman, J. L., Carrillo-De-Gea, J. M., Toval, A., et Idri, A., « E-health internationalization requirements for audit purposes », Computer Methods and Programs in Biomedicine, vol. 144, p. 49-60, 2017.
E. S. Koutbi, Idri, A., et Abran, A., « Empirical evaluation of an entropy-based approach to estimation variation of software development effort », Journal of Software: Evolution and Process, vol. 31, 2019.
M. Z. Wadghiri, Idri, A., T. Idrissi, E., et Hakkoum, H., « Ensemble blood glucose prediction in diabetes mellitus: A review », Computers in Biology and Medicine, vol. 147, 2022.
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.
A. Idri et Kadi, I., « Evaluating a decision making system for cardiovascular dysautonomias diagnosis », SpringerPlus, vol. 5, p. 1-17, 2016.
M. Hosni, Idri, A., et Abran, A., « Evaluating filter fuzzy analogy homogenous ensembles for software development effort estimation », Journal of Software: Evolution and Process, vol. 31, 2019.
A. Idri, Abnane, I., et Abran, A., « Evaluating Pred(p) and standardized accuracy criteria in software development effort estimation », Journal of Software: Evolution and Process, vol. 30, 2018.
M. Bachiri, Idri, A., Fernandez-Aleman, J. L., et Toval, A., « Evaluating the Privacy Policies of Mobile Personal Health Records for Pregnancy Monitoring », Journal of Medical Systems, vol. 42, 2018.
I. Abnane, Idri, A., et Abran, A., « Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories », Journal of Software: Evolution and Process, vol. 32, 2020.
L. Sardi, Idri, A., Rachad, T., Redman, L., et Alami, H., « Gamified e-Health Solution to Promote Postnatal Care in Morocco », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12252 LNCS, p. 931-946, 2020.
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.
L. Sardi, Idri, A., et Fernandez-Aleman, J. L., « Gamified mobile blood donation applications », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10208 LNCS, p. 165-176, 2017.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Hybrid deep boosting ensembles for histopathological breast cancer classification », Health and Technology, vol. 12, p. 1043-1060, 2022.
C. Miloudi, Cheikhi, L., Idri, A., et Abran, A., « The Impact of Instance Selection Algorithms on Maintenance Effort Estimation for Open-Source Software », Lecture Notes in Networks and Systems, vol. 470 LNNS, p. 191-201, 2022.
T. Rachad et Idri, A., « Intelligent Mobile Applications: A Systematic Mapping Study », Mobile Information Systems, vol. 2020, 2020.
H. Hakkoum, Abnane, I., et Idri, A., « Interpretability in the medical field: A systematic mapping and review study », Applied Soft Computing, vol. 117, 2022.
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.
I. Kadi, Idri, A., et Fernandez-Aleman, J. L., « Knowledge discovery in cardiology: A systematic literature review », INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, vol. 97, p. 12-32, 2017.

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