Publications

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Filters: Keyword is Decision trees  [Clear All Filters]
2022
O. Habibi, Chemmakha, M., et Lazaar, M., « Effect of Features Extraction and Selection on the Evaluation of Machine Learning Models », in IFAC-PapersOnLine, 2022, vol. 55, p. 462-467.
M. Chemmakha, Habibi, O., et Lazaar, M., « Improving Machine Learning Models for Malware Detection Using Embedded Feature Selection Method », in IFAC-PapersOnLine, 2022, vol. 55, p. 771-776.
Z. Rachidi, Chougdali, K., Kobbane, A., et Ben-Othman, J., « Network intrusion detection using Machine Learning approach », in ACM International Conference Proceeding Series, 2022, p. 13-17.
H. Zerouaoui, Idri, A., et O. Alaoui, E., « A new approach for histological classification of breast cancer using deep hybrid heterogenous ensemble », Data Technologies and Applications, p. 1-34, 2022.
F. - Z. Nakach, Zerouaoui, H., et Idri, A., « Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13376 LNCS, p. 3-18, 2022.
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.
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.
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.
H. Bouijij et Berqia, A., « Machine Learning Algorithms Evaluation for Phishing URLs Classification », in 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021, 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.
F. Z. Trabelsi, Khtira, A., et B. Asri, E., « Towards an Approach of Recommendation in Business Processes Using Decision Trees », in Proceedings - 2021 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2021, 2021, p. 341-347.
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
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. Gryech, Ghogho, M., Elhammouti, H., Sbihi, N., et Kobbane, A., « Machine learning for air quality prediction using meteorological and traffic related features », Journal of Ambient Intelligence and Smart Environments, vol. 12, p. 379-391, 2020.
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.
A. Sebbar, Zkik, K., Baddi, Y., Boulmalf, M., et Kettani, M. D. E. - C. E., « MitM detection and defense mechanism CBNA-RF based on machine learning for large-scale SDN context », Journal of Ambient Intelligence and Humanized Computing, vol. 11, p. 5875-5894, 2020.
I. Gryech, Ben-Aboud, Y., Guermah, B., Sbihi, N., Ghogho, M., et Kobbane, A., « Moreair: A low-cost urban air pollution monitoring system », Sensors (Switzerland), vol. 20, 2020.
S. Elmidaoui, Cheikhi, L., Idri, A., et Abran, A., « Predicting software maintainability using ensemble techniques and stacked generalization », in CEUR Workshop Proceedings, 2020, vol. 2725.
S. Lamrhari, Elghazi, H., et A. Faker, E., « Random Forest-based Approach for Classifying Customers in Social CRM », in 2020 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2020, 2020.
A. Zakrani, Idri, A., et Hain, M., « Software Effort Estimation Using an Optimal Trees Ensemble: An Empirical Comparative Study », Smart Innovation, Systems and Technologies, vol. 146, p. 72-82, 2020.

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