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Shenda Hong

Showing results (21-30 of 69) with videos related to

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Applied Intelligence (Dordrecht, Netherlands)|February 23, 2023
Adaptive model training strategy for continuous classification of time seriesChenxi Sun, Hongyan Li, Moxian Song, et al.
Patterns (New York, N.Y.)|March 6, 2023
Continuous diagnosis and prognosis by controlling the update process of deep neural networksChenxi Sun, Hongyan Li, Moxian Song, et al.
Health Data Science|December 5, 2024
Moving Beyond Medical Statistics: A Systematic Review on Missing Data Handling in Electronic Health RecordsWenhui Ren, Zheng Liu, Yanqiu Wu, et al.
Sensors (Basel, Switzerland)|December 23, 2020
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model ConfidenceYuxi Zhou, Shenda Hong, Junyuan Shang, et al.
International Journal of Medical Informatics|November 5, 2024
Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor searchShichao Fang, Shenda Hong, Qing Li, et al.
BMC Public Health|June 21, 2020
Life negative events and depressive symptoms: the China longitudinal ageing social surveyZhenjie Wang, Hanmo Yang, Pianpian Zheng, et al.
Scientific Data|February 25, 2026
MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and InterpretationsDeyun Zhang, Xiang Lan, Shijia Geng, et al.
Physiological Measurement|April 4, 2019
Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordingsShenda Hong, Yuxi Zhou, Meng Wu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 27, 2021
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution LearningGabriel Spadon, Shenda Hong, Bruno Brandoli, et al.
NPJ Cardiovascular Health|March 3, 2026
Genetic association of serum calcium, phosphate, vitamin D, parathyroid hormone, and FGF23 with the risk of aortic stenosisQinghao Zhao, Wenchang Nie, Jiaming Dong, et al.
Pageof 7

Showing results (21-30 of 69) with videos related to

Sort By:
Pageof 7
Applied Intelligence (Dordrecht, Netherlands)|February 23, 2023
Adaptive model training strategy for continuous classification of time seriesChenxi Sun, Hongyan Li, Moxian Song, et al.
Patterns (New York, N.Y.)|March 6, 2023
Continuous diagnosis and prognosis by controlling the update process of deep neural networksChenxi Sun, Hongyan Li, Moxian Song, et al.
Health Data Science|December 5, 2024
Moving Beyond Medical Statistics: A Systematic Review on Missing Data Handling in Electronic Health RecordsWenhui Ren, Zheng Liu, Yanqiu Wu, et al.
Sensors (Basel, Switzerland)|December 23, 2020
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model ConfidenceYuxi Zhou, Shenda Hong, Junyuan Shang, et al.
International Journal of Medical Informatics|November 5, 2024
Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor searchShichao Fang, Shenda Hong, Qing Li, et al.
BMC Public Health|June 21, 2020
Life negative events and depressive symptoms: the China longitudinal ageing social surveyZhenjie Wang, Hanmo Yang, Pianpian Zheng, et al.
Scientific Data|February 25, 2026
MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and InterpretationsDeyun Zhang, Xiang Lan, Shijia Geng, et al.
Physiological Measurement|April 4, 2019
Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordingsShenda Hong, Yuxi Zhou, Meng Wu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 27, 2021
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution LearningGabriel Spadon, Shenda Hong, Bruno Brandoli, et al.
NPJ Cardiovascular Health|March 3, 2026
Genetic association of serum calcium, phosphate, vitamin D, parathyroid hormone, and FGF23 with the risk of aortic stenosisQinghao Zhao, Wenchang Nie, Jiaming Dong, et al.
Pageof 7