MOCABBAN: a modeling case base by a bayesian network applied to the diagnosis of hepatic pathologies. - Akila Djebbar; Hayet Farida Merouani (CIMCA/IAWTIC, 2005)

Retrieval and adaptation in CBR through Bayesian Network for diagnosis of hepatic pathologies. - Akila Djebbar; Hayet Farida Merouani (Int. J. Hybrid Intell. Syst., 2012)

Optimising retrieval phase in CBR through Pearl and JLO algorithms for medical diagnosis. - Akila Djebbar; Hayet Farida Merouani (Int. J. Adv. Intell. Paradigms, 2013)

Session variability in Automatic Speaker Verification. - Hayet Djellali; Amirouche Radia; Akila Djebbar; Mohamed Tayeb Laskri (ICMCS, 2014)

Hybrid Artificial Bees Colony and Particle Swarm on Feature Selection. - Hayet Djellali; Akila Djebbar; Nacira Ghoualmi-Zine; Nabiha Azizi (CIIA, 2018)

Improving the performance of computer-aided diagnosis systems using semi-supervised learning: a survey and analysis. - Asma Chebli; Akila Djebbar; Hayet Farida Merouani-Djellali (Int. J. Intell. Inf. Database Syst., 2020)

A new case-deletion strategy for case-base maintenance based on K-means Clustering Algorithm applied to medical data. - Akila Djebbar; Hayet Farida Merouani; Hayet Djellali (Intell. Decis. Technol., 2021)

Case-Base Maintenance: An Approach Based on Active Semi-Supervised Learning. - Asma Chebli; Akila Djebbar; Hayet Farida Merouani; Hakim Lounis (Int. J. Pattern Recognit. Artif. Intell., 2021)

An Improved Random Forest Based on Feature Selection and Feature Weighting for Case Retrieval in CBR Systems: Application to Medical Data. - Ilhem Tarchoune; Akila Djebbar; Hayet Farida Merouani; Doha Hadji (Int. J. Softw. Innov., 2022)

Boruta Feature Selection Method for Optimizing a Case-Based Reasoning Model to Predict Heart Disease. - Safa Gasmi; Akila Djebbar; Hayet Farida Merouani (Int. J. Pattern Recognit. Artif. Intell., 2023)

A Novel Enhanced Random Forest for Medical Data Classification using Correlation Pearson and Best Number of Trees. - Ilhem Tarchoune; Akila Djebbar; Hayet Farida Merouani; Harfi Rania (J. Comput. Sci. Eng., 2024)

Deep learning-assisted medical image compression challenges and opportunities: systematic review. - Nour El Houda Bourai; Hayet Farida Merouani; Akila Djebbar (Neural Comput. Appl., 2024)

An Innovative CBR-Enhanced Approach for Skin Cancer Classification using Cascade Forest Model and Convolutional Neural Network with Attention Mechanism. - Safa Gasmi; Akila Djebbar; Hayet Farida Merouani; Hanene Djedi (EAI Endorsed Trans. Pervasive Health Technol., 2024)

3FS-CBR-IRF: improving case retrieval for case-based reasoning with three feature selection and improved random forest. - Ilhem Tarchoune; Akila Djebbar; Hayet Farida Merouani-Djellali; Djamel Zenakhra (Multim. Tools Appl., 2024)

EA-GAN: enhanced attention generative adversarial network applied to hair removal in dermoscopy images. - Ghada Halladja; Akila Djebbar; Ahmed Boulemden; Ahlem Melouah; Yousra Mebarki (Signal Image Video Process., 2025)