Classifier Ensemble Selection Based on mRMR Algorithm and Diversity Measures: An Application of Medical Data Classification. - Soraya Cheriguene; Nabiha Azizi; Nilanjan Dey; Amira S. Ashour; Corina Anca Mnerie; Teodora Olariu; Fuqian Shi (SOFA (1), 2016)

Optimized Tumor Breast Cancer Classification Using Combining Random Subspace and Static Classifiers Selection Paradigms. - Soraya Cheriguene; Nabiha Azizi; Nawel Zemmal; Nilanjan Dey; Hayet Djellali; Nadir Farah (Applications of Intelligent Optimization in Biology and Medicine, 2016)

Robust feature selection algorithm based on transductive SVM wrapper and genetic algorithm: application on computer-aided glaucoma classification. - Nawel Zemmal; Nabiha Azizi; Mokhtar Sellami 001; Djamel Zenakhra; Soraya Cheriguene; Nilanjan Dey; Amira S. Ashour (Int. J. Intell. Syst. Technol. Appl., 2018)

Combining RSS-SVM with genetic algorithm for Arabic opinions analysis. - Amel Ziani; Nabiha Azizi; Djamel Zenakhra; Soraya Cheriguene; Monther Aldwairi (Int. J. Intell. Syst. Technol. Appl., 2019)

A new hybrid classifier selection model based on mRMR method and diversity measures. - Soraya Cheriguene; Nabiha Azizi; Nilanjan Dey; Amira S. Ashour; Amel Ziani (Int. J. Mach. Learn. Cybern., 2019)

Particle Swarm Optimization Based Swarm Intelligence for Active Learning Improvement: Application on Medical Data Classification. - Nawel Zemmal; Nabiha Azizi; Mokhtar Sellami 001; Soraya Cheriguene; Amel Ziani; Monther Aldwairi; Nadjette Dendani (Cogn. Comput., 2020)

A new hybrid system combining active learning and particle swarm optimisation for medical data classification. - Nawel Zemmal; Nabiha Azizi; Mokhtar Sellami 001; Soraya Cheriguene; Amel Ziani (Int. J. Bio Inspired Comput., 2021)

Improved Cerebral Images Semantic Segmentation Using Advanced Approaches of Deep Learning. - Abderraouf Zoghbi; Maroua Benleulmi; Soraya Cheriguene; Nabiha Azizi; Samira Lagrini; S. Nadine Layeb (ISPR, 2022)