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Nesma Settouti
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2020 – today
- 2024
- [j13]Nesma Settouti, Meryem Saidi:
Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition. Evol. Intell. 17(1): 513-533 (2024) - [j12]Rima Guilal, Nesma Settouti, Gonzalo Martínez-Muñoz, Mohammed Amine Chikh:
Feature importance analysis for a highly unbalanced multiple myeloma data classification. Int. J. Medical Eng. Informatics 16(3): 199-209 (2024) - 2023
- [c10]Souaad Hamza-Cherif, Nesma Settouti:
Exploring Sentiment Analysis in Health with CNN, GRU and Zero-Shot Learning on Imbalanced Textual Data. RIF 2023: 102-109 - 2022
- [j11]Fatiha Youbi, Nesma Settouti:
Analysis of Machine Learning and Deep Learning Frameworks for Opinion Mining on Drug Reviews. Comput. J. 65(9): 2470-2483 (2022) - 2021
- [j10]Mostafa El Habib Daho, Nesma Settouti, Mohammed El Amine Bechar, Amina Boublenza, Mohammed Amine Chikh:
A new correlation-based approach for ensemble selection in random forests. Int. J. Intell. Comput. Cybern. 14(2): 251-268 (2021) - [c9]Chifa Maarouf, Mohamed Lamine Benomar, Nesma Settouti:
Pre-trained Backbones Effect on Nuclei Segmentation Performance. MedPRAI 2021: 108-118 - [c8]Ghezali Waffa, Nesma Settouti:
Deep Transfer Learning Techniques for Automated Classification of Histological Childhood Medulloblastoma Images. MedPRAI 2021: 132-144 - 2020
- [j9]Nesma Settouti, Meryem Saidi, Mohammed El Amine Bechar, Mostafa El Habib Daho, Mohammed Amine Chikh:
An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation. Pattern Anal. Appl. 23(4): 1709-1726 (2020)
2010 – 2019
- 2019
- [j8]Nesma Settouti, Khalida Douibi, Mohammed El Amine Bechar, Mostafa El Habib Daho, Meryem Saidi:
Semi-Supervised learning with Collaborative Bagged Multi-label K-Nearest-Neighbors. Open Comput. Sci. 9(1): 226-242 (2019) - 2018
- [j7]Meryem Saidi, Mohammed El Amine Bechar, Nesma Settouti, Mohammed Amine Chikh:
Instances selection algorithm by ensemble margin. J. Exp. Theor. Artif. Intell. 30(3): 457-478 (2018) - [j6]Mohammed El Amine Bechar, Nesma Settouti, Vincent Barra, Mohammed Amine Chikh:
Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease. Multidimens. Syst. Signal Process. 29(3): 979-998 (2018) - [c7]Meryem Saidi, Mostafa El Habib Daho, Nesma Settouti, Mohammed El Amine Bechar:
Comparaison of Ensemble Cost Sensitive Algorithms: Application to Credit Scoring Prediction. ICAASE 2018: 56-61 - [c6]Mohammed El Amine Bechar, Nesma Settouti, Mostafa El Habib Daho, Mohammed Amine Chikh:
Semi-supervised Super-pixels classification for White Blood Cells segmentation. PAIS 2018: 1-8 - 2017
- [j5]Mohammed El Amine Bechar, Nesma Settouti, Mohammed Amine Chikh, Mouloud Adel:
Reinforced confidence in self-training for a semi-supervised medical data classification. Int. J. Appl. Pattern Recognit. 4(2): 107-127 (2017) - [j4]Nesma Settouti, Mostafa El Habib Daho, Mohammed Amine Chikh:
Using conditional inference forest to identify variable importance. Int. J. Bioinform. Res. Appl. 13(2): 95-108 (2017) - [j3]Nesma Settouti, Mohammed Amine Chikh, Vincent Barra:
A new feature selection approach based on ensemble methods in semi-supervised classification. Pattern Anal. Appl. 20(3): 673-686 (2017) - [c5]Khalida Douibi, Nesma Settouti, Mohammed Amine Chikh:
The Homogeneous Ensemble Methods for MLknn Algorithm. ICCDA 2017: 197-201 - 2016
- [j2]Nesma Settouti, Mohammed El Amine Bechar, Mohammed Amine Chikh:
Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classi cation Task. Int. J. Interact. Multim. Artif. Intell. 4(1): 46-51 (2016) - [c4]Meryem Saidi, Mohammed El Amine Bechar, Nesma Settouti, Mohammed Amine Chikh:
Application of pixel selection in pixel-based classification for automatic white blood cell segmentation. MedPRAI 2016: 31-38 - 2014
- [c3]Mostafa El Habib Daho, Nesma Settouti, Mohammed El Amine Lazouni, Mohammed Amine Chikh:
Weighted vote for trees aggregation in Random Forest. ICMCS 2014: 438-443 - [c2]Mohammed El Amine Lazouni, Nesma Settouti, Mostafa El Habib Daho, Saïd Mahmoudi, Mohammed Amine Chikh:
Automatic detection of difficult tracheal intubation. ICMCS 2014: 453-458 - 2013
- [p1]Mohammed El Amine Lazouni, Mostafa El Habib Daho, Nesma Settouti, Mohammed Amine Chikh, Saïd Mahmoudi:
Machine Learning Tool for Automatic ASA Detection. Modeling Approaches and Algorithms for Advanced Computer Applications 2013: 9-16 - 2012
- [j1]Mohammed Amine Chikh, Meryem Saidi, Nesma Settouti:
Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor. J. Medical Syst. 36(5): 2721-2729 (2012) - 2011
- [c1]Meryem Saidi, Mohammed Amine Chikh, Nesma Settouti:
Automatic Identification of Diabetes Diseases using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-Nearest Neighbor. CIIA 2011
Coauthor Index
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last updated on 2024-05-31 17:54 CEST by the dblp team
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