Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jamil Fayyad

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Sensors (Basel, Switzerland)|May 13, 2023
DOPESLAM: High-Precision ROS-Based Semantic 3D SLAM in a Dynamic EnvironmentJesse Roch, Jamil Fayyad, Homayoun Najjaran
Computer Methods and Programs in Biomedicine|May 31, 2024
Empirical validation of Conformal Prediction for trustworthy skin lesions classificationJamil Fayyad, Shadi Alijani, Homayoun Najjaran
Sensors (Basel, Switzerland)|August 6, 2020
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A ReviewJamil Fayyad, Mohammad A Jaradat, Dominique Gruyer, et al.
Medical Image Analysis|August 20, 2025
BiasPruner: Mitigating bias transfer in continual learning for fair medical image analysisNourhan Bayasi, Jamil Fayyad, Alceu Bissoto, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|May 13, 2023
DOPESLAM: High-Precision ROS-Based Semantic 3D SLAM in a Dynamic EnvironmentJesse Roch, Jamil Fayyad, Homayoun Najjaran
Computer Methods and Programs in Biomedicine|May 31, 2024
Empirical validation of Conformal Prediction for trustworthy skin lesions classificationJamil Fayyad, Shadi Alijani, Homayoun Najjaran
Sensors (Basel, Switzerland)|August 6, 2020
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A ReviewJamil Fayyad, Mohammad A Jaradat, Dominique Gruyer, et al.
Medical Image Analysis|August 20, 2025
BiasPruner: Mitigating bias transfer in continual learning for fair medical image analysisNourhan Bayasi, Jamil Fayyad, Alceu Bissoto, et al.
Pageof 1