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Asma Saighi
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2020 – today
- 2024
- [c9]Lamia Bendebane
, Zakaria Laboudi, Asma Saighi
:
AutoNLP for Optimal Number of Epochs in Multi-labeled Deep-Learning Models for Predicting Mental Disorders. NiDS 2024: 246-256 - [c8]Naçima Mellal, Asma Saighi:
Ontology population using CNN model: Application to COVID-19 diagnosis. PAIS 2024: 1-7 - [c7]Asma Merabet, Asma Saighi, Mohamed Abderraouf Ferradji, Zakaria Laboudi
:
Enhancing Colon Cancer Prediction in Histopathology with Integrated Deep Learning Models: A Comparative Study on the LC25000 Dataset. PAIS 2024: 1-7 - 2023
- [j4]Lamia Bendebane, Zakaria Laboudi
, Asma Saighi, Hassan Al-Tarawneh, Adel Ouannas, Giuseppe Grassi:
A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data. Algorithms 16(12): 543 (2023) - [c6]Asma Merabet, Asma Saighi, Zakaria Laboudi
, Mohamed Abderraouf Ferradji:
Multiple Diseases Forecast Through AI and IoMT Techniques: Systematic Literature Review. ISPR (1) 2023: 189-206 - [c5]Asma Merabet, Asma Saighi
, Zakaria Laboudi
:
Artificial Intelligence and Internet of Medical Things for Medical Decision Support Systems: Comparative Analysis. NiDS (2) 2023: 134-140 - [c4]Lamia Bendebane
, Zakaria Laboudi
, Asma Saighi
:
Mental Disorders Prediction from Twitter Data: Application to Syndromic Surveillance Systems. NiDS (1) 2023: 140-145 - [c3]Sabrina Mehdi, Sofia Kouah, Asma Saighi:
Internet of Wearable Things Systems: Comprehensive Review. NiDS (1) 2023: 146-151 - [c2]Ismahene Marouf
, Asma Saighi
, Sofia Kouah
, Zakaria Laboudi
:
E-Health Cloud Based Systems: A Survey on Security Challenges and Solutions. NiDS (1) 2023: 224-229 - 2022
- [j3]Zakaria Laboudi
, Abdelkader Moudjari, Asma Saighi, Amer Draa
, Selma Hadjadj:
An adaptive context-aware optimization framework for multimedia adaptation service selection. Neural Comput. Appl. 34(17): 14239-14251 (2022) - 2020
- [j2]Asma Saighi
, Zakaria Laboudi
, Philippe Roose, Sébastien Laborie
, Nassira Ghoualmi-Zine
:
On Using Multiple Disabilities Profiles to Adapt Multimedia Documents: A Novel Graph-Based Method. Int. J. Inf. Technol. Web Eng. 15(3): 34-60 (2020) - [c1]Zakaria Laboudi
, Abdelkader Moudjari, Asma Saighi, Hamana Nazim Hamri:
Efficient Service Selection in Multimedia Documents Adaptation Processes. MedPRAI 2020: 170-187
2010 – 2019
- 2018
- [b1]Asma Saighi:
Qualité de service pour les adaptations multimédia dans un environnement mobile. (Quality of services for multimedia adaptations in a mobile environment). University of Annaba, Algeria, 2018 - 2017
- [j1]Asma Saighi, Philippe Roose, Nassira Ghoualmi
, Sébastien Laborie, Zakaria Laboudi:
HaMA: A Handicap-based Architecture for Multimedia Document Adaptation. Int. J. Multim. Data Eng. Manag. 8(3): 55-96 (2017)
Coauthor Index
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last updated on 2025-01-09 13:25 CET by the dblp team
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