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Hongjun Choi

Showing results (1-10 of 8) with videos related to

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Medical & Biological Engineering & Computing|May 20, 2018
An extended Kalman filter for mouse trackingHongjun Choi, Mingi Kim, Onseok Lee
IEEE Sensors Journal|October 6, 2025
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Matthew P Buman, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|September 30, 2020
PI-Net: A Deep Learning Approach to Extract Topological Persistence ImagesAnirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, et al.
Healthcare (Basel, Switzerland)|April 12, 2025
Smartwatch-Derived VO2max Prediction Model for Korean Adults: Utilizing Heart Rate and GPS Data from the 12-Minute Cooper TestKihyuk Lee, Dohee Kim, Sungeun Shin, et al.
Conference Record. Asilomar Conference on Signals, Systems & Computers|August 16, 2023
Topological Knowledge Distillation for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Ankita Shukla, et al.
IEEE Transactions on Instrumentation and Measurement|May 31, 2024
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Ankita Shukla, et al.
Behavioral Sciences (Basel, Switzerland)|April 26, 2024
Exploring the Influence of YouTube on Digital Health Literacy and Health Exercise Intentions: The Role of Parasocial RelationshipsJongho Kim, Heeok Youm, Sujin Kim, et al.
Engineering Applications of Artificial Intelligence|January 29, 2024
Topological Persistence Guided Knowledge Distillation for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Ankita Shukla, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical & Biological Engineering & Computing|May 20, 2018
An extended Kalman filter for mouse trackingHongjun Choi, Mingi Kim, Onseok Lee
IEEE Sensors Journal|October 6, 2025
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Matthew P Buman, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|September 30, 2020
PI-Net: A Deep Learning Approach to Extract Topological Persistence ImagesAnirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, et al.
Healthcare (Basel, Switzerland)|April 12, 2025
Smartwatch-Derived VO2max Prediction Model for Korean Adults: Utilizing Heart Rate and GPS Data from the 12-Minute Cooper TestKihyuk Lee, Dohee Kim, Sungeun Shin, et al.
Conference Record. Asilomar Conference on Signals, Systems & Computers|August 16, 2023
Topological Knowledge Distillation for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Ankita Shukla, et al.
IEEE Transactions on Instrumentation and Measurement|May 31, 2024
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Ankita Shukla, et al.
Behavioral Sciences (Basel, Switzerland)|April 26, 2024
Exploring the Influence of YouTube on Digital Health Literacy and Health Exercise Intentions: The Role of Parasocial RelationshipsJongho Kim, Heeok Youm, Sujin Kim, et al.
Engineering Applications of Artificial Intelligence|January 29, 2024
Topological Persistence Guided Knowledge Distillation for Wearable Sensor DataEun Som Jeon, Hongjun Choi, Ankita Shukla, et al.
Pageof 1