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Nesma Settouti



Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition

Nesma Settouti , Meryem Saidi
Evolutionary Intelligence, 2023, ⟨10.1007/s12065-023-00833-3⟩
Journal articles hal-04085306v1

Influence of normalization and color features on super-pixel classification: application to cytological image segmentation

Mohammed El Amine Bechar , Nesma Settouti , Mostafa El Habib Daho , Mouloud Adel , Mohammed Amine Chikh
Australasian Physical and Engineering Sciences in Medicine, 2019, 42 (2), pp.427-441. ⟨10.1007/s13246-019-00735-8⟩
Journal articles hal-02470276v1

An analysis of ambulatory blood pressure monitoring using multi-label classification

Khalida Douibi , Nesma Settouti , Mohammed Amine Chikh , Jesse Read , Mohamed Malik Benabid
Australasian Physical and Engineering Sciences in Medicine, 2019, 42 (1), pp.65-81. ⟨10.1007/s13246-018-0713-0⟩
Journal articles hal-03185589v1

Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease

Mohammed El amine Bechar , Nesma Settouti , Vincent Barra , Mohamed Amine Chikh
Multidimensional Systems and Signal Processing, 2017, ⟨10.1007/s11045-017-0483-y⟩
Journal articles hal-01621806v1

A new feature selection approach based on ensemble methods in semi-supervised classification

Vincent Barra , Nesma Settouti , Mohamed Amine Chikh
Pattern Analysis and Applications, 2017, 20 (3), pp.673 - 686. ⟨10.1007/s10044-015-0524-9⟩
Journal articles hal-01621751v1

Classification interprétable floue du diabète - Amélioration des performances d'un classifieur flou

Nesma Settouti , Amine M. Chikh
Cost Oran, 2011
Journal articles inria-00621613v1