Jamil Fayyad

22 papers A 2B 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
BiasPruner: Mitigating bias transfer in continual learning for fair medical image analysis.
Medical Image Anal.
Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, Rafeef Garbi
2025 A conf
Debiasify: Self-Distillation for Unsupervised Bias Mitigation.
WACV
Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh, Rafeef Garbi, Homayoun Najjaran
2025 J jnl
Foundation Models as Class-Incremental Learners for Dermatological Image Classification.
CoRR
Mohamed Elkhayat, Mohamed Mahmoud, Jamil Fayyad, Nourhan Bayasi
2025 — conf
LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis.
ISIC@MICCAI
Jamil Fayyad, Nourhan Bayasi, Ziyang Yu, Homayoun Najjaran
2025 J jnl
LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis.
CoRR
Jamil Fayyad, Nourhan Bayasi, Ziyang Yu, Homayoun Najjaran
2024 — conf
BiasPruner: Debiased Continual Learning for Medical Image Classification.
MICCAI (10)
Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, Rafeef Garbi
2024 J jnl
BiasPruner: Debiased Continual Learning for Medical Image Classification.
CoRR
Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto, Ghassan Hamarneh, Rafeef Garbi
2024 J jnl
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data.
CoRR
John Brandon Graham-Knight, Jamil Fayyad, Nourhan Bayasi, Patricia Lasserre, Homayoun Najjaran
2024 J jnl
Debiasify: Self-Distillation for Unsupervised Bias Mitigation.
CoRR
Nourhan Bayasi, Jamil Fayyad, Ghassan Hamarneh, Rafeef Garbi, Homayoun Najjaran
2024 J jnl
Empirical validation of Conformal Prediction for trustworthy skin lesions classification.
Comput. Methods Programs Biomed.
Jamil Fayyad, Shadi Alijani, Homayoun Najjaran
2024 J jnl
Exploiting classifier inter-level features for efficient out-of-distribution detection.
Image Vis. Comput.
Jamil Fayyad, Kashish Gupta, Navid Mahdian, Dominique Gruyer, Homayoun Najjaran
2024 J jnl
Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding.
Artif. Intell. Rev.
Jaehoon Chung, Jamil Fayyad, Younes Al Younes, Homayoun Najjaran
2024 B conf
Sim-to-Real Domain Adaptation for Deformation Classification.
SMC
Joel Sol, Jamil Fayyad, Shadi Alijani, Homayoun Najjaran
2024 J jnl
Sim-to-Real Domain Adaptation for Deformation Classification.
CoRR
Joel Sol, Jamil Fayyad, Shadi Alijani, Homayoun Najjaran
2024 A conf
The Effectiveness of State Representation Model in Multi-Agent Proximal Policy Optimization for Multi-Agent Path Finding.
IROS
Jaehoon Chung, Jamil Fayyad, Mehran Ghafarian Tamizi, Homayoun Najjaran
2024 J jnl
Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness.
CoRR
Shadi Alijani, Jamil Fayyad, Homayoun Najjaran
2024 J jnl
Vision transformers in domain adaptation and domain generalization: a study of robustness.
Neural Comput. Appl.
Shadi Alijani, Jamil Fayyad, Homayoun Najjaran
2023 J jnl
DOPESLAM: High-Precision ROS-Based Semantic 3D SLAM in a Dynamic Environment.
Sensors
Jesse Roch, Jamil Fayyad, Homayoun Najjaran
2023 J jnl
Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification.
CoRR
Jamil Fayyad, Shadi Alijani, Homayoun Najjaran
2023 J jnl
Learning to Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding.
CoRR
Jaehoon Chung, Jamil Fayyad, Younes Al Younes, Homayoun Najjaran
2023 J jnl
Model Compression Methods for YOLOv5: A Review.
CoRR
Mohammad Jani, Jamil Fayyad, Younes Al Younes, Homayoun Najjaran
2020 J jnl
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review.
Sensors
Jamil Fayyad, Mohammad A. Jaradat, Dominique Gruyer, Homayoun Najjaran