HaMA: A Handicap-based Architecture for Multimedia Document Adaptation. - Asma Saighi; Philippe Roose; Nassira Ghoualmi; Sébastien Laborie; Zakaria Laboudi (Int. J. Multim. Data Eng. Manag., 2017)

Qualité de service pour les adaptations multimédia dans un environnement mobile. (Quality of services for multimedia adaptations in a mobile environment). - Asma Saighi (2018)

Efficient Service Selection in Multimedia Documents Adaptation Processes. - Zakaria Laboudi; Abdelkader Moudjari; Asma Saighi; Hamana Nazim Hamri (MedPRAI, 2020)

On Using Multiple Disabilities Profiles to Adapt Multimedia Documents: A Novel Graph-Based Method. - Asma Saighi; Zakaria Laboudi; Philippe Roose; Sébastien Laborie; Nassira Ghoualmi-Zine (Int. J. Inf. Technol. Web Eng., 2020)

An adaptive context-aware optimization framework for multimedia adaptation service selection. - Zakaria Laboudi; Abdelkader Moudjari; Asma Saighi; Amer Draa; Selma Hadjadj (Neural Comput. Appl., 2022)

Multiple Diseases Forecast Through AI and IoMT Techniques: Systematic Literature Review. - Asma Merabet; Asma Saighi; Zakaria Laboudi; Mohamed Abderraouf Ferradji (ISPR (1), 2023)

Mental Disorders Prediction from Twitter Data: Application to Syndromic Surveillance Systems. - Lamia Bendebane; Zakaria Laboudi; Asma Saighi (NiDS (1), 2023)

E-Health Cloud Based Systems: A Survey on Security Challenges and Solutions. - Ismahene Marouf; Asma Saighi; Sofia Kouah; Zakaria Laboudi (NiDS (1), 2023)

Internet of Wearable Things Systems: Comprehensive Review. - Sabrina Mehdi; Sofia Kouah; Asma Saighi (NiDS (1), 2023)

Artificial Intelligence and Internet of Medical Things for Medical Decision Support Systems: Comparative Analysis. - Asma Merabet; Asma Saighi; Zakaria Laboudi (NiDS (2), 2023)

A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data. - Lamia Bendebane; Zakaria Laboudi; Asma Saighi; Hassan Al-Tarawneh 001; Adel Ouannas; Giuseppe Grassi (Algorithms, 2023)

AutoNLP for Optimal Number of Epochs in Multi-labeled Deep-Learning Models for Predicting Mental Disorders. - Lamia Bendebane; Zakaria Laboudi; Asma Saighi (NiDS, 2024)

Ontology population using CNN model: Application to COVID-19 diagnosis. - Naçima Mellal; Asma Saighi (PAIS, 2024)

Enhancing Colon Cancer Prediction in Histopathology with Integrated Deep Learning Models: A Comparative Study on the LC25000 Dataset. - Asma Merabet; Asma Saighi; Mohamed Abderraouf Ferradji; Zakaria Laboudi (PAIS, 2024)