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ORCIDMohammed Amine Chikh
- > Home > Persons > Mohammed Amine Chikh
Publications
- 2021
[j26]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)- 2020
- [j24]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) - 2018
- [j22]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) - [j21]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) - [c16]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
- [j20]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) - [j19]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) - [j17]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) - [c15]Khalida Douibi, Nesma Settouti, Mohammed Amine Chikh:
The Homogeneous Ensemble Methods for MLknn Algorithm. ICCDA 2017: 197-201 - 2016
- [j13]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) - [c14]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
- [c9]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 - [c8]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
- [c3]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
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