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Nassima Dif
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Books and Theses
- 2020
- [b1]Nassima Dif:
L'apprentissage profond pour le traitement des images. (Deep learning methods for histopathological images classification). Djillali Liabes University, Algeria, 2020
Journal Articles
- 2024
- [j10]Nesrine Boudoukhani, Zakaria Elberrichi, Latefa Oulladji, Nassima Dif:
New attention-gated residual deep convolutional network for accurate lung segmentation in chest x-rays. Evol. Syst. 15(3): 919-938 (2024) - 2023
- [j9]Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah:
Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. Vis. Comput. 39(4): 1683-1701 (2023) - 2022
- [j8]Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag:
Transfer learning from synthetic labels for histopathological images classification. Appl. Intell. 52(1): 358-377 (2022) - 2021
- [j7]Nassima Dif, Zakaria Elberrichi:
A Novel Dynamic Hybridization Method for Best Feature Selection. Int. J. Appl. Metaheuristic Comput. 12(2): 85-99 (2021) - [j6]Hamid Naceur Benkhaled, Djamal Berrabah, Nassima Dif, Faouzi Boufarès:
An Automatic Blocking Keys Selection For Efficient Record Linkage. Int. J. Organ. Collect. Intell. 11(1): 53-70 (2021) - 2020
- [j5]Nassima Dif, Zakaria Elberrichi:
Efficient Regularization Framework for Histopathological Image Classification Using Convolutional Neural Networks. Int. J. Cogn. Informatics Nat. Intell. 14(4): 62-81 (2020) - [j4]Nassima Dif, Zakaria Elberrichi:
A New Deep Learning Model Selection Method for Colorectal Cancer Classification. Int. J. Swarm Intell. Res. 11(3): 72-88 (2020) - [j3]Nassima Dif, Zakaria Elberrichi:
A New Intra Fine-Tuning Method Between Histopathological Datasets in Deep Learning. Int. J. Serv. Sci. Manag. Eng. Technol. 11(2): 16-40 (2020) - 2019
- [j2]Nassima Dif, Zakaria Elberrichi:
An Enhanced Recursive Firefly Algorithm for Informative Gene Selection. Int. J. Swarm Intell. Res. 10(2): 21-33 (2019) - 2018
- [j1]Nassima Dif, Zakaria Elberrichi:
A Multi-Verse Optimizer Approach for Instance Selection and Optimizing 1-NN Algorithm. Int. J. Strateg. Inf. Technol. Appl. 9(2): 35-49 (2018)
Conference and Workshop Papers
- 2018
- [c1]Nassima Dif, Mohamed Walid Attaoui, Zakaria Elberrichi:
Gene Selection for Microarray Data Classification Using Hybrid Meta-Heuristics. MISC 2018: 119-132
Parts in Books or Collections
- 2020
- [p1]Nassima Dif, Zakaria Elberrichi:
Deep Learning Methods for Mitosis Detection in Breast Cancer Histopathological Images: A Comprehensive Review. AI and ML for Digital Pathology 2020: 279-306
Coauthor Index
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