Jamil Fayyad

According to our database, Jamil Fayyad authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis.

Jamil Fayyad, Nourhan Bayasi, Ziyang Yu, Homayoun Najjaran

CoRR, July, 2025

Foundation Models as Class-Incremental Learners for Dermatological Image Classification.

Mohamed Elkhayat, Mohamed Mahmoud, Jamil Fayyad, Nourhan Bayasi

CoRR, July, 2025

Debiasify: Self-Distillation for Unsupervised Bias Mitigation.

Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh, Rafeef Garbi, Homayoun Najjaran

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Vision transformers in domain adaptation and domain generalization: a study of robustness.

Shadi Alijani, Jamil Fayyad, Homayoun Najjaran

Neural Comput. Appl., October, 2024

Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding.

Jaehoon Chung, Jamil Fayyad, Younes Al Younes, Homayoun Najjaran

Artif. Intell. Rev., February, 2024

Exploiting classifier inter-level features for efficient out-of-distribution detection.

Jamil Fayyad, Kashish Gupta, Navid Mahdian, Dominique Gruyer, Homayoun Najjaran

Image Vis. Comput., 2024

Conformal-in-the-Loop for Learning with Imbalanced Noisy Data.

John Brandon Graham-Knight, Jamil Fayyad, Nourhan Bayasi, Patricia Lasserre, Homayoun Najjaran

CoRR, 2024

Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness.

Shadi Alijani, Jamil Fayyad, Homayoun Najjaran

CoRR, 2024

Empirical validation of Conformal Prediction for trustworthy skin lesions classification.

Jamil Fayyad, Shadi Alijani, Homayoun Najjaran

Comput. Methods Programs Biomed., 2024

Sim-to-Real Domain Adaptation for Deformation Classification.

Joel Sol, Jamil Fayyad, Shadi Alijani, Homayoun Najjaran

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

BiasPruner: Debiased Continual Learning for Medical Image Classification.

Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, Rafeef Garbi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

The Effectiveness of State Representation Model in Multi-Agent Proximal Policy Optimization for Multi-Agent Path Finding.

Jaehoon Chung, Jamil Fayyad, Mehran Ghafarian Tamizi, Homayoun Najjaran

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

DOPESLAM: High-Precision ROS-Based Semantic 3D SLAM in a Dynamic Environment.

Jesse Roch, Jamil Fayyad, Homayoun Najjaran

Sensors, 2023

Learning to Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding.

Jaehoon Chung, Jamil Fayyad, Younes Al Younes, Homayoun Najjaran

CoRR, 2023

Model Compression Methods for YOLOv5: A Review.

Mohammad Jani, Jamil Fayyad, Younes Al Younes, Homayoun Najjaran

CoRR, 2023

2020

Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review.

Jamil Fayyad, Mohammad A. Jaradat, Dominique Gruyer, Homayoun Najjaran

Sensors, 2020