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Chi-Chun Lee

Showing results (1-10 of 34) with videos related to

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IEEE Transactions on Affective Computing|February 24, 2015
Robust Unsupervised Arousal Rating: A Rule-Based Framework with Knowledge-Inspired Vocal FeaturesDaniel Bone, Chi-Chun Lee, Shrikanth Narayanan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Gradient-Aware Data Augmentation for Federated Stress Detection under Data IncompletenessWoan-Shiuan Chien, Huan-Yu Chen, Chi-Chun Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims DatabaseChen-Ying Hung, Ching-Heng Lin, Chi-Chun Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Learning a Phenotypic-Attribute Attentional Brain Connectivity Embedding for ADHD Classification using rs-fMRIMing-Shan Gao, Fu-Sheng Tsai, Chi-Chun Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRIYa-Lin Huang, Hao-Chun Yang, Chi-Chun Lee
Social Cognitive and Affective Neuroscience|June 4, 2019
Investigation of functional brain network reconfiguration during vocal emotional processing using graph-theoretical analysisShih-Yen Lin, Chi-Chun Lee, Yong-Sheng Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Improving Automatic Tremor and Movement Motor Disorder Severity Assessment for Parkinson's Disease with Deep Joint TrainingChun-Min Chang, Yu-Lin Huang, Jui-Cheng Chen, et al.
IEEE Journal of Biomedical and Health Informatics|October 12, 2023
Lung Cancer Prediction Using Electronic Claims Records: A Transformer-Based ApproachHuan-Yu Chen, Hui-Min Wang, Ching-Heng Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Instrument-Aware Representation Learning for Robust Cross-Site Flow Cytometry IntegrationHuan-Yu Chen, Woan-Shiuan Chien, Yu-Fen Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion NetworksChen-Ying Hung, Ching-Heng Lin, Chi-Sen Chang, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Affective Computing|February 24, 2015
Robust Unsupervised Arousal Rating: A Rule-Based Framework with Knowledge-Inspired Vocal FeaturesDaniel Bone, Chi-Chun Lee, Shrikanth Narayanan
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Gradient-Aware Data Augmentation for Federated Stress Detection under Data IncompletenessWoan-Shiuan Chien, Huan-Yu Chen, Chi-Chun Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims DatabaseChen-Ying Hung, Ching-Heng Lin, Chi-Chun Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Learning a Phenotypic-Attribute Attentional Brain Connectivity Embedding for ADHD Classification using rs-fMRIMing-Shan Gao, Fu-Sheng Tsai, Chi-Chun Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Federated Learning via Conditional Mutual Learning for Alzheimer's Disease Classification on T1w MRIYa-Lin Huang, Hao-Chun Yang, Chi-Chun Lee
Social Cognitive and Affective Neuroscience|June 4, 2019
Investigation of functional brain network reconfiguration during vocal emotional processing using graph-theoretical analysisShih-Yen Lin, Chi-Chun Lee, Yong-Sheng Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Improving Automatic Tremor and Movement Motor Disorder Severity Assessment for Parkinson's Disease with Deep Joint TrainingChun-Min Chang, Yu-Lin Huang, Jui-Cheng Chen, et al.
IEEE Journal of Biomedical and Health Informatics|October 12, 2023
Lung Cancer Prediction Using Electronic Claims Records: A Transformer-Based ApproachHuan-Yu Chen, Hui-Min Wang, Ching-Heng Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Instrument-Aware Representation Learning for Robust Cross-Site Flow Cytometry IntegrationHuan-Yu Chen, Woan-Shiuan Chien, Yu-Fen Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion NetworksChen-Ying Hung, Ching-Heng Lin, Chi-Sen Chang, et al.
Pageof 4