Publications

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A
S. Elmidaoui, Cheikhi, L., et Idri, A., « Accuracy comparison of empirical studies on software product maintainability prediction », Advances in Intelligent Systems and Computing, vol. 746, p. 26-35, 2018.
A. Zakrani et Idri, A., « Applying radial basis function neural networks based on fuzzy clustering to estimate web applications effort », International Review on Computers and Software, vol. 5, p. 516-524, 2010.
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.
H. Hakkoum, Idri, A., et Abnane, I., « Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 9, p. 587-599, 2021.
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.
B
A. Fath-Allah, Cheikhi, L., Idri, A., et Al-Qutaish, R., « A Best Practice Based E-Government Portals' Maturity Model-A Case Study », in IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology, 2017, p. 326-331.
H. Zerouaoui, Idri, A., Nakach, F. Z., et Hadri, R. E., « Breast Fine Needle Cytological Classification Using Deep Hybrid Architectures », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12950 LNCS, p. 186-202, 2021.
C
I. Kadi et Idri, A., « Cardiovascular dysautonomias diagnosis using crisp and fuzzy decision tree: A comparative study », Studies in Health Technology and Informatics, vol. 223, p. 1-8, 2016.
B. ElOuassif, Idri, A., Hosni, M., et Abran, A., « Classification techniques in breast cancer diagnosis: A systematic literature review », Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, vol. 9, p. 50-77, 2021.
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.
D
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.
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.
H. Benhar, Idri, A., et Fernandez-Aleman, J. L., « Data preprocessing for decision making in medical informatics: Potential and analysis », Advances in Intelligent Systems and Computing, vol. 746, p. 1208-1218, 2018.
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.
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.
I. Kadi et Idri, A., « A decision tree-based approach for cardiovascular dysautonomias diagnosis: A case study », in Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 2015, p. 816-823.
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.
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. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
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.
E
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.

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