2024

Norelhouda Laribi, Djamel Gaceb, Fayçal Touazi, A. Rezoug, Abdelmoumen Sahad, Massine Omar Reggai:Ensemble Deep Learning of CNN vs Vision Transformers for Brain Lesion Classification on MRI Images, International Workshop on Informatics & Data-Driven Medicine, Link

Mamar Khaled, Fayçal Touazi, Djamel Gaceb:Improving Breast Cancer Diagnosis in Mammograms with Progressive Transfer Learning and Ensemble Deep Learning, Arabian Journal for Science and Engineering, 1-24, 2024, Link

Assia Yakoub, Djamel Gaceb, Fayçal Touazi, Nourelhouda Bourahla:Progressive Deep Transfer Learning for Accurate Glaucoma Detection in Medical Imaging, 2024 8th International Conference on Image and Signal Processing and their …, 2024, Link

Soumia Faouci, Djamel Gaceb, Fayçal Touazi, Mohammed Haddad, Norelhouda Laribi, Ayoub Titoun:Computer-Assisted Transcription of Scanned Arabic Handwritting Using ConvNeXt Model and Siamese Network, 2024 International Conference on Telecommunications and Intelligent Systems …, 2024, Link

Norelhouda Laribi, Djamel Gaceb, Fayçal Touazi, A. Rezoug:Application of Dataset Pruning and Dynamic Transfer Learning on Vision Transformers for MGMT Prediction on Brain MRI Images, 2024 1st International Conference on Innovative and Intelligent Information Technologies (IC3IT), Link

Lynda Chaouchi, Djamel Gaceb, Fayçal Touazi, Djouher Djani, Assia Yakoub:Application of Deep Transfer Learning in Medical Imaging for Thyroid Lesion Diagnostic Assistance, 2024 8th International Conference on Image and Signal Processing and their …, 2024, Link

Fayçal Touazi, Djamel Gaceb, Chaima Belkadi, Besma Loubar:A Self-Supervised Learning Approach for Detecting Brca Mutations in Breast Cancer Histopathological Images, 7th International Conference on Informatics & Data-Driven Medicine 3892 (1 …, 2024, Link

F Touazi, D Gaceb, N Boudissa, S Assas:Enhancing Breast Mass Cancer Detection Through Hybrid ViT-Based Image Segmentation Model, International Conference on Computing Systems and Applications, 126-135, 2024

2023

Fayçal Touazi, Djamel Gaceb, Marouane Chirane, Selma Hrzallah:Two-Stage Approach for Semantic Image Segmentation of Breast Cancer: Deep Learning and Mass Detection in Mammographic Images, International Workshop on Informatics & Data-Driven Medicine, Link

Fayçal Touazi, Amel Boustil:Handling qualitative conditional preference queries in SPARQL: possibilistic logic approach, International Journal of Web Information Systems 19 (5/6), 208-243, 2023, Link

Mamar Khaled, Djamel Gaceb, Fayçal Touazi, Chakib Ammar Aouchiche, Youcef Bellouche, Ayoub Titoun:New CNN Stacking Model for Classification of Medical Imaging Modalities and Anatomical Organs on Medical Images, 6th International Conference on Informatics & Data-Driven Medicine 3609, 174-188, 2023, Link

M Khaled, D Gaceb, F Touazi, A Otsmane, F Boutoutaou:Progressive and Combined Deep Transfer Learning for pneumonia diagnosis in chest X-ray images, 6th International Conference on Informatics & Data-Driven Medicine, 2023

G Aghiles, NM Lamine, T Faycal, G Djamel, YM Riad:Blood cells image segmentation and counting using deep transfer learning, 1st International Conference on Advanced Innovations in Smart Cities (ICAISC …, 2023

2022

Zakia Kezzoula, Djamel Gaceb, Zineddine Akli, Abdelouaheb Kahouli, Ayoub Titoun, Fayçal Touazi:Bi-ESRGAN: A New Approach of Document Image Super-Resolution Based on Dual Deep Transfer Learning, International Conference on Artificial Intelligence: Theories and …, 2022, Link

Mamar Khaled, Djamel Gaceb, Fayçal Touazi, Ahmed Otsmane, Farouk Boutoutaou:Progressive and Combined Deep Transfer Learning for pneumonia diagnosis in chest X-ray images, International Workshop on Informatics & Data-Driven Medicine, Link

Norelhouda Laribi, Djamel Gaceb, Akram Benmira, Sara Bakiri, Amira Tadrist, A. Rezoug, Ayoub Titoun, Fayçal Touazi:A Progressive Deep Transfer Learning for the Diagnosis of Alzheimer's Disease on Brain MRI Images, International Conference on Artificial Intelligence: Theories and …, 2022, Link

2018

C. Cayrol, D. Dubois, Fayçal Touazi:Possibilistic Reasoning from Partially Ordered Belief Bases with the Sure Thing Principle, IfColog Journal of Logics and their Applications (FLAP) 5 (1), 5-40, 2018, Link

C. Cayrol, D. Dubois, Fayçal Touazi:Symbolic Possibilistic Logic: Completeness and Inference Methods, European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Link

2016

F Touazi:Raisonnement avec des croyances partiellement ordonnées, Institut National Polytechnique de Toulouse-INPT, 2016

2015

D. Dubois, A. Hadjali, H. Prade, Fayçal Touazi:Erratum to: Database preference queries - a possibilistic logic approach with symbolic priorities, Annals of Mathematics and Artificial Intelligence, Link

Fayçal Touazi, C. Cayrol, D. Dubois:Possibilistic reasoning with partially ordered beliefs, Journal of Applied Logic 13 (4), 770-798, 2015, Link

D Dubois, A Hadjali, H Prade, F Touazi:Erratum to: Database preference queries-a possibilistic logic approach with symbolic priorities, Annals of Mathematics and Artificial Intelligence 73, 359-363, 2015

C Cayrol, D Dubois, F Touazi:La logique possibiliste avec poids symboliques: une preuve de complétude, 24eme Conference Francophone sur la Logique Floue et ses Applications (LFA …, 2015

C Cayrol, D Dubois, F Touazi:Inférence sur des bases partiellement ordonnées: Implémentation, IRIT: Institut de Recherche en Informatique de Toulouse, 2015

C Cayrol, D Dubois, F Touazi:La logique possibiliste avec poids symboliques: une preuve de complétude Possibilistic logic with symbolic weights: a completeness proof, Rencontres francophones sur la Logique Floue et ses Applications, 2015

2014

C. Cayrol, D. Dubois, Fayçal Touazi:On the Semantics of Partially Ordered Bases, Foundations of Information and Knowledge Systems: 8th International …, 2014, Link

C Cayrol, D Dubois, F Touazi:Ordres partiels entre sous-ensembles d’un ensemble partiellement ordonné, Rapport de recherche RR–2014-02–FR, IRIT, Université Paul Sabatier, Toulouse, 2014

C Cayrol, D Dubois, F Touazi:Fermeture déductive d’une base partiellement ordonnée, Rapport de recherche RR–2014-08–FR, IRIT, Université Paul Sabatier, Toulouse, 2014

C Cayrol, D Dubois, F Touazi:On the deductive closure of a partially ordered propositional belief base, 8èmes Journées d'Intelligence Artificielle Fondamentale (JAIF 2014), en …, 2014

2013

D. Dubois, H. Prade, Fayçal Touazi:A Possibilistic Logic Approach to Conditional Preference Queries, International Conference on Flexible Query Answering Systems, 376-388, 2013, Link

D. Dubois, H. Prade, Fayçal Touazi:Conditional Preference-Nets, Possibilistic Logic, and the Transitivity of Priorities, Research and Development in Intelligent Systems XXX: Incorporating …, 2013, Link

D. Dubois, H. Prade, Fayçal Touazi:Conditional Preference Nets and Possibilistic Logic, European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Link

D Dubois, H Prade, F Touazi:Réseaux de préférences conditionnelles et logique possibiliste, 7 Journées d'Intelligence Artificielle Fondamentale (JIAF), 127, 2013

2012

D. Dubois, H. Prade, Fayçal Touazi:Handling partially ordered preferences in possibilistic logic - A survey discussion -, Proc. ECAI 2012 Workshop on Weighted Logics for AI, 91-98, 2012