Publications

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Filters: Auteur is Hosni, M.  [Clear All Filters]
Conference Paper
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, Idri, A., Nassif, A. B., et Abran, A., « Heterogeneous Ensembles for Software Development Effort Estimation », in Proceedings - 2016 3rd International Conference on Soft Computing and Machine Intelligence, ISCMI 2016, 2017, p. 174-178.
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.
H. Benhar, Idri, A., et Hosni, M., « Impact of threshold values for filter-based univariate feature selection in heart disease classification », in HEALTHINF 2020 - 13th International Conference on Health Informatics, Proceedings; Part of 13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020, 2020, p. 391-398.
M. Hosni et Idri, A., « Software effort estimation using classical analogy ensembles based on random subspace », in Proceedings of the ACM Symposium on Applied Computing, 2017, vol. Part F128005, p. 1251-1258.
Journal Article
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. 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.
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.
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. Hosni, García-Mateos, G., Carrillo-De-Gea, J. M., Idri, A., et Fernandez-Aleman, J. L., « A mapping study of ensemble classification methods in lung cancer decision support systems », Medical and Biological Engineering and Computing, vol. 58, p. 2177-2193, 2020.
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.
H. Benhar, Hosni, M., et Idri, A., « Univariate and Multivariate Filter Feature Selection for Heart Disease Classification », Journal of Information Science and Engineering, vol. 38, p. 791-803, 2022.
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.
M. Hosni, Idri, A., Abran, A., et Nassif, A. B., « On the value of parameter tuning in heterogeneous ensembles effort estimation », Soft Computing, p. 1-34, 2017.
M. Hosni, Idri, A., Abran, A., et Nassif, A. B., « On the value of parameter tuning in heterogeneous ensembles effort estimation », Soft Computing, vol. 22, p. 5977-6010, 2018.

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