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Publications

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Filters: Auteur is Abnane, I.  [Clear All Filters]
2022
H. Hakkoum, Abnane, I., et Idri, A., « Interpretability in the medical field: A systematic mapping and review study », Applied Soft Computing, vol. 117, 2022.
M. Benaida, Abnane, I., Idri, A., et T. Idrissi, E., « Machine and Deep Learning Predictive Techniques for Blood Glucose Level », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 476-485, 2022.
H. Ouifak, Idri, A., Benbriqa, H., et Abnane, I., « Performance-Interpretability Tradeoff of Mamdani Neuro-Fuzzy Classifiers for Medical Data », Lecture Notes in Networks and Systems, vol. 468 LNNS, p. 456-465, 2022.
2021
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.
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., 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.
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.
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.
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.
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. 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.
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.
I. Abnane et Idri, A., « Improved analogy-based effort estimation with incomplete mixed data », in Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018, 2018, p. 1015-1024.
A. Idri, Abnane, I., et Abran, A., « Support vector regression-based imputation in analogy-based software development effort estimation », Journal of Software: Evolution and Process, vol. 30, 2018.
2017
I. Abnane, Idri, A., et Abran, A., « Empirical evaluation of fuzzy analogy for Software Development Effort Estimation », in Proceedings of the ACM Symposium on Applied Computing, 2017, vol. Part F128005, p. 1302-1304.
I. Abnane et Idri, A., « Evaluating Fuzzy Analogy on incomplete software projects data », in 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, 2017.
A. Idri et Abnane, I., « Fuzzy Analogy Based Effort Estimation: An Empirical Comparative Study », in IEEE CIT 2017 - 17th IEEE International Conference on Computer and Information Technology, 2017, p. 114-121.

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