Akila Djebbar

According to our database, Akila Djebbar authored at least 14 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., September, 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

Deep learning-assisted medical image compression challenges and opportunities: systematic review.

Nour El Houda Bourai, Hayet Farida Merouani, Akila Djebbar

Neural Comput. Appl., 2024

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

2023

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., November, 2023

2022

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

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

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

2020

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

2018

Hybrid Artificial Bees Colony and Particle Swarm on Feature Selection.

Hayet Djellali, Akila Djebbar, Nacira Ghoualmi-Zine, Nabiha Azizi

Proceedings of the Computational Intelligence and Its Applications, 2018

2014

Session variability in Automatic Speaker Verification.

Hayet Djellali, Amirouche Radia, Akila Djebbar, Mohamed Tayeb Laskri

Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

2013

Optimising retrieval phase in CBR through Pearl and JLO algorithms for medical diagnosis.

Akila Djebbar, Hayet Farida Merouani

Int. J. Adv. Intell. Paradigms, 2013

2012

Retrieval and adaptation in CBR through Bayesian Network for diagnosis of hepatic pathologies.

Akila Djebbar, Hayet Farida Merouani

Int. J. Hybrid Intell. Syst., 2012

2005

MOCABBAN: a modeling case base by a bayesian network applied to the diagnosis of hepatic pathologies.

Akila Djebbar, Hayet Farida Merouani

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005