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Tee Connie

Showing results (1-10 of 9) with videos related to

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Sensors (Basel, Switzerland)|May 13, 2026
Self-Explaining Neural Networks for Transparent Parkinson's Disease ScreeningMahmoud E Farfoura, Ahmad A A Alkhatib, Tee Connie
Genes|January 28, 2026
Integrative Machine Learning and Network Analysis of Skeletal Muscle Transcriptomes Identifies Candidate Pioglitazone-Responsive Biomarkers in Polycystic Ovary SyndromeAhmad Al Athamneh, Mahmoud E Farfoura, Anas Khaleel, et al.
IEEE Transactions on Cybernetics|April 22, 2016
A Grassmannian Approach to Address View Change Problem in Gait RecognitionTee Connie, Michael Kah Ong Goh, Andrew Beng Jin Teoh
JMIR Aging|April 8, 2025
Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation StudyMing De Lim, Tee Connie, Michael Kah Ong Goh, et al.
Frontiers in Artificial Intelligence|September 12, 2024
Fall risk prediction using temporal gait features and machine learning approachesZhe Khae Lim, Tee Connie, Michael Kah Ong Goh, et al.
Sensors (Basel, Switzerland)|November 27, 2025
RecovGait: Occluded Parkinson's Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization TechniqueChiau Wen Yeong, Tee Connie, Thian Song Ong, et al.
F1000Research|May 10, 2022
Non-invasive health prediction from visually observable featuresFan Yi Khong, Tee Connie, Michael Kah Ong Goh, et al.
F1000Research|March 31, 2022
A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roadsMan Kiat Wong, Tee Connie, Michael Kah Ong Goh, et al.
Plos One|January 3, 2025
Parkinson's disease screening using a fusion of gait point cloud and silhouette featuresTee Connie, Timilehin B Aderinola, Jia You Ong, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|May 13, 2026
Self-Explaining Neural Networks for Transparent Parkinson's Disease ScreeningMahmoud E Farfoura, Ahmad A A Alkhatib, Tee Connie
Genes|January 28, 2026
Integrative Machine Learning and Network Analysis of Skeletal Muscle Transcriptomes Identifies Candidate Pioglitazone-Responsive Biomarkers in Polycystic Ovary SyndromeAhmad Al Athamneh, Mahmoud E Farfoura, Anas Khaleel, et al.
IEEE Transactions on Cybernetics|April 22, 2016
A Grassmannian Approach to Address View Change Problem in Gait RecognitionTee Connie, Michael Kah Ong Goh, Andrew Beng Jin Teoh
JMIR Aging|April 8, 2025
Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation StudyMing De Lim, Tee Connie, Michael Kah Ong Goh, et al.
Frontiers in Artificial Intelligence|September 12, 2024
Fall risk prediction using temporal gait features and machine learning approachesZhe Khae Lim, Tee Connie, Michael Kah Ong Goh, et al.
Sensors (Basel, Switzerland)|November 27, 2025
RecovGait: Occluded Parkinson's Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization TechniqueChiau Wen Yeong, Tee Connie, Thian Song Ong, et al.
F1000Research|May 10, 2022
Non-invasive health prediction from visually observable featuresFan Yi Khong, Tee Connie, Michael Kah Ong Goh, et al.
F1000Research|March 31, 2022
A visual approach towards forward collision warning for autonomous vehicles on Malaysian public roadsMan Kiat Wong, Tee Connie, Michael Kah Ong Goh, et al.
Plos One|January 3, 2025
Parkinson's disease screening using a fusion of gait point cloud and silhouette featuresTee Connie, Timilehin B Aderinola, Jia You Ong, et al.
Pageof 1