| 2024 | IDDM | Ensemble Deep Learning of CNN vs Vision Transformers for Brain Lesion Classification on MRI Images. | Norelhouda Laribi, Djamel Gaceb, Fayal Touazi, Abdellah Rezoug, Abdelmoumen Sahad, Massine Omar Reggai |
| 2024 | IDDM | A Self-Supervised Learning Approach for Detecting Brca Mutations in Breast Cancer Histopathological Images. | Fayal Touazi, Djamel Gaceb, Chaima Belkadi, Besma Loubar |
| 2023 | IDDM | New CNN Stacking Model for Classification of Medical Imaging Modalities and Anatomical Organs on Medical Images. | Mamar Khaled, Djamel Gaceb, Fayal Touazi, Chakib Ammar Aouchiche, Youcef Bellouche, Ayoub Titoun |
| 2023 | IDDM | Two-Stage Approach for Semantic Image Segmentation of Breast Cancer: Deep Learning and Mass Detection in Mammographic Images. | Fayal Touazi, Djamel Gaceb, Marouane Chirane, Selma Hrzallah |
| 2022 | IDDM | Progressive and Combined Deep Transfer Learning for pneumonia diagnosis in chest X-ray images. | Mamar Khaled, Djamel Gaceb, Fayal Touazi, Ahmed Otsmane, Farouk Boutoutaou |
| 2015 | ECSQARU | Symbolic Possibilistic Logic: Completeness and Inference Methods. | Claudette Cayrol, Didier Dubois, Fayal Touazi |
| 2013 | ECSQARU | Conditional Preference Nets and Possibilistic Logic. | Didier Dubois, Henri Prade, Fayal Touazi |
| 2013 | FQAS | A Possibilistic Logic Approach to Conditional Preference Queries. | Didier Dubois, Henri Prade, Fayal Touazi |
| 2013 | SGAI | Conditional Preference-Nets, Possibilistic Logic, and the Transitivity of Priorities. | Didier Dubois, Henri Prade, Fayal Touazi |