Publications

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Journal Article
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.
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.
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.
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., 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.
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.
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.
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. 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 et Kadi, I., « Evaluating a decision making system for cardiovascular dysautonomias diagnosis », SpringerPlus, vol. 5, p. 1-17, 2016.
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.
F. A. Amazal et Idri, A., « Estimating software development effort using fuzzy clustering-based analogy », Journal of Software: Evolution and Process, vol. 33, 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.
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., T. Idrissi, E., et Hakkoum, H., « Ensemble blood glucose prediction in diabetes mellitus: A review », Computers in Biology and Medicine, vol. 147, 2022.
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.
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.
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.
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.
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.
C. Lahmar et Idri, A., « Deep hybrid architectures for diabetic retinopathy classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2022.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 446-455, 2022.
H. Benbriqa, Abnane, I., Idri, A., et Tabiti, K., « Deep and Ensemble Learning Based Land Use and Land Cover Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12951 LNCS, p. 588-604, 2021.
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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