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Akila Djebbar
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2020 – today
- 2024
- [j11]Ilhem Tarchoune, Akila Djebbar, Hayet Farida Merouani, Harfi Rania:
A Novel Enhanced Random Forest for Medical Data Classification using Correlation Pearson and Best Number of Trees. J. Comput. Sci. Eng. 18(1): 57-68 (2024) - [j10]Ilhem Tarchoune, Akila Djebbar, Hayet Farida Merouani-Djellali, Djamel Zenakhra:
3FS-CBR-IRF: improving case retrieval for case-based reasoning with three feature selection and improved random forest. Multim. Tools Appl. 83(29): 72939-72973 (2024) - [j9]Nour El Houda Bourai, Hayet Farida Merouani, Akila Djebbar:
Deep learning-assisted medical image compression challenges and opportunities: systematic review. Neural Comput. Appl. 36(17): 10067-10108 (2024) - [j8]Safa Gasmi, Akila Djebbar, Hayet Farida Merouani, Hanene Djedi:
An Innovative CBR-Enhanced Approach for Skin Cancer Classification using Cascade Forest Model and Convolutional Neural Network with Attention Mechanism. EAI Endorsed Trans. Pervasive Health Technol. 10 (2024) - 2023
- [j7]Safa Gasmi, Akila Djebbar, Hayet Farida Merouani:
Boruta Feature Selection Method for Optimizing a Case-Based Reasoning Model to Predict Heart Disease. Int. J. Pattern Recognit. Artif. Intell. 37(14): 2351016:1-2351016:40 (2023) - 2022
- [j6]Ilhem Tarchoune, Akila Djebbar, Hayet Farida Merouani, Doha Hadji:
An Improved Random Forest Based on Feature Selection and Feature Weighting for Case Retrieval in CBR Systems: Application to Medical Data. Int. J. Softw. Innov. 10(1): 1-20 (2022) - 2021
- [j5]Akila Djebbar, Hayet Farida Merouani, Hayet Djellali:
A new case-deletion strategy for case-base maintenance based on K-means Clustering Algorithm applied to medical data. Intell. Decis. Technol. 15(4): 541-559 (2021) - [j4]Asma Chebli, Akila Djebbar, Hayet Farida Merouani, Hakim Lounis:
Case-Base Maintenance: An Approach Based on Active Semi-Supervised Learning. Int. J. Pattern Recognit. Artif. Intell. 35(11): 2151011:1-2151011:28 (2021) - 2020
- [j3]Asma Chebli, Akila Djebbar, Hayet Farida Merouani-Djellali:
Improving the performance of computer-aided diagnosis systems using semi-supervised learning: a survey and analysis. Int. J. Intell. Inf. Database Syst. 13(2/3/4): 454-478 (2020)
2010 – 2019
- 2018
- [c3]Hayet Djellali, Akila Djebbar, Nacira Ghoualmi-Zine, Nabiha Azizi:
Hybrid Artificial Bees Colony and Particle Swarm on Feature Selection. CIIA 2018: 93-105 - 2014
- [c2]Hayet Djellali, Amirouche Radia, Akila Djebbar, Mohamed Tayeb Laskri:
Session variability in Automatic Speaker Verification. ICMCS 2014: 185-190 - 2013
- [j2]Akila Djebbar, Hayet Farida Merouani:
Optimising retrieval phase in CBR through Pearl and JLO algorithms for medical diagnosis. Int. J. Adv. Intell. Paradigms 5(3): 161-181 (2013) - 2012
- [j1]Akila Djebbar, Hayet Farida Merouani:
Retrieval and adaptation in CBR through Bayesian Network for diagnosis of hepatic pathologies. Int. J. Hybrid Intell. Syst. 9(3): 123-134 (2012)
2000 – 2009
- 2005
- [c1]Akila Djebbar, Hayet Farida Merouani:
MOCABBAN: a modeling case base by a bayesian network applied to the diagnosis of hepatic pathologies. CIMCA/IAWTIC 2005: 678-685
Coauthor Index
aka: Hayet Farida Merouani-Djellali
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last updated on 2024-11-25 23:40 CET by the dblp team
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