Conditional Preference Nets and Possibilistic Logic. - Didier Dubois; Henri Prade; Fayçal Touazi (ECSQARU, 2013)

A Possibilistic Logic Approach to Conditional Preference Queries. - Didier Dubois; Henri Prade; Fayçal Touazi (FQAS, 2013)

Conditional Preference-Nets, Possibilistic Logic, and the Transitivity of Priorities. - Didier Dubois; Henri Prade; Fayçal Touazi (SGAI Conf., 2013)

On the Semantics of Partially Ordered Bases. - Claudette Cayrol; Didier Dubois; Fayçal Touazi (FoIKS, 2014)

Erratum to: Database preference queries - a possibilistic logic approach with symbolic priorities. - Didier Dubois; Allel Hadjali; Henri Prade; Fayçal Touazi (Ann. Math. Artif. Intell., 2015)

Possibilistic reasoning with partially ordered beliefs. - Fayçal Touazi; Claudette Cayrol; Didier Dubois (J. Appl. Log., 2015)

Raisonnement avec des croyances partiellement ordonnées. (Reasoning with partially ordered belief bases). - Fayçal Touazi (2016)

Possibilistic Reasoning from Partially Ordered Belief Bases with the Sure Thing Principle. - Claudette Cayrol; Didier Dubois; Fayçal Touazi (FLAP, 2018)

Symbolic possibilistic logic: completeness and inference methods. - Claudette Cayrol; Didier Dubois; Fayçal Touazi (J. Log. Comput., 2018)

Bi-ESRGAN: A New Approach of Document Image Super-Resolution Based on Dual Deep Transfer Learning. - Zakia Kezzoula; Djamel Gaceb; Zineddine Akli; Abdelouaheb Kahouli; Ayoub Titoun; Fayçal Touazi (ICAITA, 2022)

A Progressive Deep Transfer Learning for the Diagnosis of Alzheimer's Disease on Brain MRI Images. - Norelhouda Laribi; Djamel Gaceb; Akram Benmira; Sara Bakiri; Amira Tadrist; Abdellah Rezoug; Ayoub Titoun; Fayçal Touazi (ICAITA, 2022)

Progressive and Combined Deep Transfer Learning for pneumonia diagnosis in chest X-ray images. - Mamar Khaled; Djamel Gaceb; Fayçal Touazi; Ahmed Otsmane; Farouk Boutoutaou (IDDM, 2022)

New CNN Stacking Model for Classification of Medical Imaging Modalities and Anatomical Organs on Medical Images. - Mamar Khaled; Djamel Gaceb; Fayçal Touazi; Chakib Ammar Aouchiche; Youcef Bellouche; Ayoub Titoun (IDDM, 2023)

Two-Stage Approach for Semantic Image Segmentation of Breast Cancer: Deep Learning and Mass Detection in Mammographic Images. - Fayçal Touazi; Djamel Gaceb; Marouane Chirane; Selma Hrzallah (IDDM, 2023)

Handling qualitative conditional preference queries in SPARQL: possibilistic logic approach. - Fayçal Touazi; Amel Boustil (Int. J. Web Inf. Syst., 2023)

Ensemble Deep Learning of CNN vs Vision Transformers for Brain Lesion Classification on MRI Images. - Norelhouda Laribi; Djamel Gaceb; Fayçal Touazi; Abdellah Rezoug; Abdelmoumen Sahad; Massine Omar Reggai (IDDM, 2024)

A Self-Supervised Learning Approach for Detecting Brca Mutations in Breast Cancer Histopathological Images. - Fayçal Touazi; Djamel Gaceb; Chaima Belkadi; Besma Loubar (IDDM, 2024)

Comparative Evaluation of StyleGAN3-Based Augmentation Strategies for Enhanced Medical Image Classification. - Fayçal Touazi; Djamel Gaceb; Amira Tadrist; Sara Bakiri (CMIS, 2025)