Publications

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Filters: Keyword is Breast Cancer  [Clear All Filters]
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A
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.
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.
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
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.
C
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.
D
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.
H. Zerouaoui et Idri, A., « Deep hybrid architectures for binary classification of medical breast cancer images », Biomedical Signal Processing and Control, vol. 71, 2022.
E
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
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
H. Zerouaoui, Idri, A., et K. Asnaoui, E., « Machine Learning and Image Processing for Breast Cancer: A Systematic Map », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 44-53, 2020.
N
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
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.
M. EZZAT et Idri, A., « Reviewing Data Analytics Techniques in Breast Cancer Treatment », Advances in Intelligent Systems and Computing, vol. 1161 AISC, p. 65-75, 2020.
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.

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