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ORCIDLilia Lazli
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2020 – today
- 2024
[i1]Lilia Lazli:
Computer aided diagnosis system for Alzheimers disease using principal component analysis and machine learning based approaches. CoRR abs/2405.09553 (2024)- 2021
- [c12]Lilia Lazli
:
Machine Learning Classifiers Based on Dimensionality Reduction Techniques for the Early Diagnosis of Alzheimer's Disease Using Magnetic Resonance Imaging and Positron Emission Tomography Brain Data. CIBB 2021: 117-131
2010 – 2019
- 2019
- [j3]Lilia Lazli, Mounir Boukadoum:
Dealing With Noise and Partial Volume Effects in Alzheimer Disease Brain Tissue Classification by a Fuzzy-Possibilistic Modeling Based on Fuzzy-Genetic Initialization. Int. J. Softw. Innov. 7(1): 119-143 (2019) - 2018
- [j2]Lilia Lazli, Mounir Boukadoum:
Hybrid Fuzzy - Possibilistic Clustering Model based on Genetic Optimization: Case Study on Brain Tissues of Patients with Alzheimer's Disease. Int. J. Networked Distributed Comput. 6(2): 63-77 (2018) - 2017
- [c11]Lilia Lazli, Mounir Boukadoum, Otmane Aït Mohamed:
HMM/MLP speech recognition system using a novel data clustering approach. CCECE 2017: 1-4 - [c10]Lilia Lazli, Mounir Boukadoum, Otmane Aït Mohamed:
Fuzzy clustering optimized with genetic algorithms: Application for hybrid speech recognition system. CoDIT 2017: 567-572 - [c9]Lilia Lazli, Mounir Boukadoum, Otmane Aït Mohamed:
Brain tissue classification of alzheimer disease using partial volume possibilistic modeling: Application to ADNI phantom images. IPTA 2017: 1-5 - [c8]Lilia Lazli, Mounir Boukadoum:
Quantification of Alzheimer's Disease Brain Tissue Volume by an Enhanced Possibilistic Clustering Technique Based on Bias-Corrected Fuzzy Initialization. ISPA/IUCC 2017: 1434-1438 - [c7]Lilia Lazli, Mounir Boukadoum:
Brain Tissues Volumes Assessment by Fuzzy Genetic Optimization Based Possibilistic Clustering: Application to Alzheimer Patients Images. ISPAN-FCST-ISCC 2017: 112-118 - [c6]Lilia Lazli, Mounir Boukadoum, Mohamed Tayeb Laskri, Otmane Aït Mohamed:
Diagnosis of Auditory Pathologies with Hidden Markov Models. IWBBIO (1) 2017: 118-133 - [c5]Lilia Lazli, Mounir Boukadoum, Otmane Aït Mohamed:
Hybrid possibilistic-genetic technique for assessment of brain tissues volume: Case study for Alzheimer patients images clustering. SNPD 2017: 143-147 - 2012
- [c4]Lilia Lazli, Mounir Boukadoum, Abdennasser Chebira, Kurosh Madani:
Comparison the Performance of Hybrid HMM/MLP and RBF/LVQ ANN Models - Application for Speech and Medical Pattern Classification. ICINCO (1) 2012: 659-662 - 2011
- [c3]Lilia Lazli, Abdennasser Chebira, Mohamed Tayeb Laskri, Kurosh Madani:
Hybrid HMM/ANN System Using Fuzzy Clustering for Speech and Medical Pattern Recognition. DICTAP (2) 2011: 557-570
2000 – 2009
- 2005
- [j1]Lilia Lazli, Mohamed Tayeb Laskri:
Nouvelle méthode de fusion de données pour l'apprentissage des systèmes hybrides MMC/RNA. ARIMA J. 3: 7 (2005) - 2003
- [c2]Lilia Lazli, Mokhtar Sellami:
Connectionist Probability Estimators in HMM Arabic Speech Recognition Using Fuzzy Logic. MLDM 2003: 379-388 - [c1]Lilia Lazli, Mokhtar Sellami:
Hybrid HMM-MLP System based on Fuzzy Logic for Arabic Speech Recognition. PRIS 2003: 150-155
Coauthor Index
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