Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review. - Jamil Fayyad; Mohammad A. Jaradat; Dominique Gruyer; Homayoun Najjaran (Sensors, 2020)

Model Compression Methods for YOLOv5: A Review. - Mohammad Jani; Jamil Fayyad; Younes Al Younes; Homayoun Najjaran (CoRR, 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)

DOPESLAM: High-Precision ROS-Based Semantic 3D SLAM in a Dynamic Environment. - Jesse Roch; Jamil Fayyad; Homayoun Najjaran (Sensors, 2023)

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 (IROS, 2024)

BiasPruner: Debiased Continual Learning for Medical Image Classification. - Nourhan Bayasi; Jamil Fayyad; Alceu Bissoto; Ghassan Hamarneh; Rafeef Garbi (MICCAI (10), 2024)

Sim-to-Real Domain Adaptation for Deformation Classification. - Joel Sol; Jamil Fayyad; Shadi Alijani; Homayoun Najjaran (SMC, 2024)

Empirical validation of Conformal Prediction for trustworthy skin lesions classification. - Jamil Fayyad; Shadi Alijani; Homayoun Najjaran (Comput. Methods Programs Biomed., 2024)

Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness. - Shadi Alijani; Jamil Fayyad; Homayoun Najjaran (CoRR, 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)

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)

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., 2024)

Vision transformers in domain adaptation and domain generalization: a study of robustness. - Shadi Alijani; Jamil Fayyad; Homayoun Najjaran (Neural Comput. Appl., 2024)

Debiasify: Self-Distillation for Unsupervised Bias Mitigation. - Nourhan Bayasi; Jamil Fayyad; Ghassan Hamarneh; Rafeef Garbi; Homayoun Najjaran (WACV, 2025)

Foundation Models as Class-Incremental Learners for Dermatological Image Classification. - Mohamed Elkhayat; Mohamed Mahmoud; Jamil Fayyad; Nourhan Bayasi (CoRR, 2025)

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis. - Jamil Fayyad; Nourhan Bayasi; Ziyang Yu; Homayoun Najjaran (CoRR, 2025)