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ORCIDHayet Farida Merouani
Person information
- affiliation: Badji Mokhtar University, Computer Science Department, Annaba, Algeria
- not to be confused with: Hayet Djellali
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2020 – today
- 2023
[j20]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
- [j19]Hayet Saadi, Hayet Farida Merouani, Ahlem Melouah, Zahia Guessoum, Saida Lemnadjlia, Nacereddine Boukabach:
Multi-agents system for breast tumour detection in mammography by deep learning pre-processing and watershed segmentation. Int. J. Comput. Vis. Robotics 12(6): 632-661 (2022) - [j18]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
- [j17]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) - [j16]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
- [j15]Sawsen Boudraa, Ahlem Melouah, Hayet Farida Merouani:
Improving mass discrimination in mammogram-CAD system using texture information and super-resolution reconstruction. Evol. Syst. 11(4): 697-706 (2020) - [j14]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) - [j13]Ammar Ladjailia, Imed Bouchrika, Hayet Farida Merouani, Nouzha Harrati, Zohra Mahfouf:
Human activity recognition via optical flow: decomposing activities into basic actions. Neural Comput. Appl. 32(21): 16387-16400 (2020)
2010 – 2019
- 2018
- [j12]Laimeche Lakhdar, Hayet Farida Merouani, Smaine Mazouzi:
A new feature extraction scheme in wavelet transform for stego image classification. Evol. Syst. 9(3): 181-194 (2018) - [j11]Zohra Mahfouf, Hayet Farida Merouani, Imed Bouchrika, Nouzha Harrati:
Investigating the use of motion-based features from optical flow for gait recognition. Neurocomputing 283: 140-149 (2018) - [c11]Sarah Benmazou, Hayet Farida Merouani:
Wavelet based feature extraction method for breast cancer diagnosis. ATSIP 2018: 1-5 - 2017
- [j10]Chokri Ferkous, Hayet Farida Merouani:
Mammographic mass classification according to Bi-RADS lexicon. IET Comput. Vis. 11(3): 189-198 (2017) - 2016
- [j9]Ahlem Refai, Hayet Farida Merouani, Hayet Aouras:
Maintenance of a Bayesian network: application using medical diagnosis. Evol. Syst. 7(3): 187-196 (2016) - [j8]Akram Boukhamla, Hayet Farida Merouani, Hocine Sissaoui:
Parallelization of filtered back-projection algorithm for computed tomography. Evol. Syst. 7(3): 197-205 (2016) - [j7]Abdessalem Kelaiaia, Hayet Farida Merouani:
Clustering with probabilistic topic models on arabic texts: a comparative study of LDA and K-means. Int. Arab J. Inf. Technol. 13(2): 332-338 (2016) - 2015
- [j6]Mohamed Tahar Abdelkrim, Hayet Farida Merouani, Zoubida Benhammadi:
Object tracking based on the somatosensory system. Evol. Syst. 6(3): 167-175 (2015) - [j5]Hamoud Meriem, Hayet Farida Merouani, Laimeche Lakhdar:
The power laws: Zipf and inverse Zipf for automated segmentation and classification of masses within mammograms. Evol. Syst. 6(3): 209-227 (2015) - [j4]Mohamed Mokhtar Bendib, Hayet Farida Merouani, Fatma Diaba:
Automatic segmentation of brain MRI through stationary wavelet transform and random forests. Pattern Anal. Appl. 18(4): 829-843 (2015) - [c10]Samira Chebbout, Hayet Farida Merouani:
A Novel Saliency Detection Model based on Self Organizing Tree Algorithm. IPAC 2015: 47:1-47:6 - [c9]Mohamed Mokhtar Bendib, Hayet Farida Merouani, Fatma Diaba:
Automatic Generation of Suitable DWT Sub-band - An Application to Brain MRI Classification. VISAPP (3) 2015: 166-170 - 2014
- [j3]Sarah Benmazou, Hayet Farida Merouani, Soumia Layachi, Beledjhem Nedjmeddine:
Classification of mammography images based on cellular automata and Haralick parameters. Evol. Syst. 5(3): 209-216 (2014) - [c8]Mohamed Mokhtar Bendib, Hayet Farida Merouani, Fatma Diaba:
The brain MRI classification problem from wavelets perspective. ICMV 2014: 94451I - 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) - [p1]Abdessalem Kelaiaia, Hayet Farida Merouani:
Clustering with Probabilistic Topic Models on Arabic Texts. Modeling Approaches and Algorithms for Advanced Computer Applications 2013: 65-74 - 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) - [c7]Yamina Bordjiba, Hayet Farida Merouani:
MPEG4 parameterization for facial deformation. ICMCS 2012: 414-419 - [c6]Samira Chebbout, Hayet Farida Merouani:
Comparative Study of Clustering Based Colour Image Segmentation Techniques. SITIS 2012: 839-844 - 2011
- [c5]Hamoud Meriem, Hayet Farida Merouani:
Detection of a Region of Interest in the Images Based on Zipf Laws. SITIS 2011: 416-421
2000 – 2009
- 2008
- [c4]Ahlem Melouah, Hayet Farida Merouani:
Hierarchical segmentation of digital mammography by agents competition. ICDIM 2008: 442-447 - 2005
- [c3]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 - [c2]K. Idir, Hayet Farida Merouani, Y. Tlili:
Image Segmentation Through Dual Pyramid of Agents. ICIAP 2005: 360-366 - 2003
- [c1]Hayet Farida Merouani, John A. W. McCall, Ian McKenzie, Fiona J. Gilbert:
Classification of GRF texture in mammograms through discriminant analysis. ISSPA (1) 2003: 673-676
Coauthor Index
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