Publications

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Filters: Auteur is Idri, A.  [Clear All Filters]
2021
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.
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.
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.
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.
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.
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.
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. 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.
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
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.
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.
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.
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.

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