Publications

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Filters: Keyword is Support vector machines  [Clear All Filters]
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.
K. A. AlAfandy, Omara, H., El-Sayed, H. S., Baz, M., Lazaar, M., Faragallah, O. S., et M. Achhab, A., « Efficient Classification of Remote Sensing Images Using Two Convolution Channels and SVM », Computers, Materials and Continua, vol. 72, p. 739-753, 2022.
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.
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.
R. Faizi et S. Fkihi, E., « A Sentiment Analysis Based Approach for Exploring Student Feedback », Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13449 LNCS, p. 52-59, 2022.
2021
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.
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.
A. Y. Alaoui, Tabii, Y., Thami, R. O. H., Daoudi, M., Berretti, S., et Pala, P., « Fall detection of elderly people using the manifold of positive semidefinite matrices », Journal of Imaging, vol. 7, 2021.
A. Iazzi, Rziza, M., et Thami, R. O. Haj, « Fall detection system-based posture-recognition for indoor environments », Journal of Imaging, vol. 7, 2021.
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. 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.
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.
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.
A. Iazzi, Rziza, M., et Thami, R. O. H., « Efficient fall activity recognition by combining shape and motion features », Computational Visual Media, vol. 6, p. 247-263, 2020.
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.

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