Jamil Fayyad

According to our database, Jamil Fayyad authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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