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Nesma Settouti

Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor
2011 · Mohamed Amine Chikh, Meryem Saidi, et al. · Journal of Medical Systems · 117
Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task
2016 · Nesma Settouti, Mohammed El Amine Bechar, et al. · International Journal of Interactive Multimedia and Artificial Intelligence · 56
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Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease
2017 · Mohammed El Amine Bechar, Nesma Settouti, et al. · Multidimensional Systems and Signal Processing · 44
Weighted vote for trees aggregation in Random Forest
2014 · Mostafa El Habib Daho, Nesma Settouti, et al. · 32
Random Forest Based Classification of Medical X-ray Images Using a Genetic Algorithm for Feature Selection
2015 · IMANE NEDJAR, MOSTAFA EL HABIB DAHO, et al. · Journal of Mechanics in Medicine and Biology · 23
Preliminary analysis of explainable machine learning methods for multiple myeloma chemotherapy treatment recognition
2023 · Nesma Settouti, Meryem Saidi · Evolutionary Intelligence · 16
Instances selection algorithm by ensemble margin
2017 · Meryem Saidi, Mohammed El Amine Bechar, et al. · Journal of Experimental & Theoretical Artificial Intelligence · 15
Recognition of diabetes disease using a new hybrid learning algorithm for NEFCLASS
2013 · Mostafa El Habib Daho, Nesma Settouti, et al. · International Workshop on Systems, Signal Processing and their Applications · 15
A new correlation-based approach for ensemble selection in random forests
2021 · Mostafa El Habib Daho, Nesma Settouti, et al. · International Journal of Intelligent Computing and Cybernetics · 13
Generating fuzzy rules for constructing interpretable classifier of diabetes disease
2012 · Nesma Settouti, M. Amine Chikh, et al. · Australasian Physical & Engineering Sciences in Medicine · 13
A comparison of U-net backbone architectures for the automatic white blood cells segmentation
2021 · Mohammed Hakim Bendiabdallah, Nesma Settouti · WAS Science Nature (WASSN) · 12
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Analysis of Machine Learning and Deep Learning Frameworks for Opinion Mining on Drug Reviews
2021 · Fatiha Youbi, Nesma Settouti · The Computer Journal · 12
Random forest in semi-supervised learning (Co-Forest)
2013 · Nesma Settouti, Mostafa El Habib Daho, et al. · International Workshop on Systems, Signal Processing and their Applications · 12
Content Based COVID-19 Chest X-Ray and CT Images Retrieval framework using Stacked Auto-Encoders
2021 · Fatima Zahra Benyelles, Amel Sekkal, et al. · International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH) · 11
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A new feature selection approach based on ensemble methods in semi-supervised classification
2015 · Nesma Settouti, Mohamed Amine Chikh, et al. · Pattern Analysis and Applications · 11
Automatic Identification of Diabetes Diseases using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-Nearest Neighbor.
2011 · Meryem Saidi, Mohammed Amine Chikh, et al. · CIIA · 11
An optimised pixel-based classification approach for automatic white blood cells segmentation
2020 · Nesma Settouti, Mohammed El Amine Bechar, et al. · International Journal of Biomedical Engineering and Technology · 10
An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation
2020 · Nesma Settouti, Meryem Saidi, et al. · Pattern Analysis and Applications · 9
Influence of normalization and color features on super-pixel classification: application to cytological image segmentation
2019 · Mohammed El Amine Bechar, Nesma Settouti, et al. · Australasian Physical & Engineering Sciences in Medicine · 9
Interpretable Classifier of Diabetes Disease
2012 · Nesma Settouti, Meryem Saidi, et al. · International Journal of Computer Theory and Engineering · 9
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Application of pixel selection in pixel-based classification for automatic white blood cell segmentation
2016 · Meryem Saidi, Mohammed El Amine Bechar, et al. · Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI) · 8
Machine Learning Tool for Automatic ASA Detection
2013 · Mohammed El Amine Lazouni, Mostafa El Habib Daho, et al. · Studies in computational intelligence · 8
An analysis of ambulatory blood pressure monitoring using multi-label classification
2018 · Khalida Douibi, Nesma Settouti, et al. · Australasian Physical & Engineering Sciences in Medicine · 7
The Homogeneous Ensemble Methods for MLknn Algorithm
2017 · Khalida Douibi, Nesma Settouti, et al. · International Conference on Compute and Data Analysis (ICCDA) · 7
Evolving neural networks using a genetic algorithm for heartbeat classification
2011 · Mansouria Sekkal, Mohamed Amine Chikh, et al. · Journal of Medical Engineering & Technology · 7
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Works count: 92
Citation count: 559
H-index: 12
I10-index: 17
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