Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound
Skander Hamdi, Mourad Oussalah, Abdelouahab Moussaoui & Mohamed Saidi
Journal of Intelligent Information Systems, 59 (2022), pp 367–389
Precision Diagnosis in Pandemics: Machine Learning and Cough Sound Analysis for COVID-19
Iyad Chehili and Skander Hamdi
International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), Setif, Algeria, (2024)
SECA-Net: A Lightweight Spatial and Efficient Channel Attention for Enhanced Natural Disaster Recognition
Skander Hamdi, Abdelouahab Moussaoui, Mafaza Chabane, Ayou Laouarem, Mohamed Berrimi Mourad Oussalah
International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), Setif, Algeria, (2024)
Ensemble Transfer Learning for Improved Brain Tumor Classification in MRI Images
Skander Hamdi, Abdelouahab Moussaoui ,Mohamed Berrimi, Ayoub Laouarem, Mafaza Chabane
The 2nd International Conference and School on Radiation Imaging and Nuclear Medicine, Setif, Algeria, (2023)
Uncovering Linguistic Patterns: Exploring Ensemble Learning and Low-Level Features for Identifying Spoken Arabic, English, Spanish, and German
Skander Hamdi, Abdelouahab Moussaoui, Mafaza Chabane, Ayoub Laouarem, Mohamed Berrimi, Mourad Oussalah
5th International Conference on Pattern Analysis and Intelligent Systems (PAIS), Setif, Algeria, (2023)
Autoencoders and Ensemble-Based Solution for COVID-19 Diagnosis from Cough Sound
Skander Hamdi, Abdelouahab Moussaoui, Mourad Oussalah, Mohamed Saidi
In book: Modelling and Implementation of Complex SystemsEdition: International Symposium on Modelling and Implementation of Complex SystemsPublisher: Springer, Cham, Mostaganem, Algeria, (2022)
COVID-19 detection from Xray and CT scans using transfer learning
Mohamed Berrimi, Skander Hamdi, Raoudha Yahia Cherif, Abdelouahab Moussaoui, Mourad Oussalah, Mafaza Chabane
International Conference of Women in Data Science at Taif University (WiDSTaif ), Taif, Kingdom of Saudi Arabia, (2021)
Convolutional Neural Network for detecting Alzheimer’s disease in the early stages from Magnetic Resonance Imaging
Skander Hamdi, Abdelouahab Moussaoui, Mourad Oussalah, Mohamed Saidi
THE FIRST INTERNATIONAL CONFERENCE AND SCHOOL ON RADIATION IMAGING ICSRI-2021, Setif, Algeria, (2021)
Early COVID-19 Diagnosis from Cough Sound Using Random Forest and Low-Level Descriptors
Skander Hamdi, Abdelouahab Moussaoui, Mourad Oussalah, Mohamed Saidi
The Third International Conference on Computer and Information Sciences 2021 (ICCIS 2021), Aljouf, Kindgom of Saudi Arabia, (2021)
Gender Identification from Arabic Speech Using Machine Learning
Skander Hamdi, Abdelouahab Moussaoui, Mourad Oussalah, Mohamed Saidi
In book: Modelling and Implementation of Complex SystemsEdition: International Symposium on Modelling and Implementation of Complex SystemsPublisher: Springer, Cham, Batna, Algeria, (2020)
Comparative study between machine and deep learning methods for age, gender and ethnicity identification
Skander Hamdi, Abdelouahab Moussaoui
The 4th International Symposium on Informatics and its Applications (ISIA), M'sila, Algeria, (2020)