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Yi-Min Wang
Researcher at Microsoft
Publications - 3
Citations - 1772
Yi-Min Wang is an academic researcher from Microsoft. The author has contributed to research in topics: Medicine & Deep learning. The author has an hindex of 1, co-authored 1 publications receiving 1737 citations.
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A survey of rollback-recovery protocols in message-passing systems
TL;DR: This survey covers rollback-recovery techniques that do not require special language constructs and distinguishes between checkpoint-based and log-based protocols, which rely solely on checkpointing for system state restoration.
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Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach
I-Min Chiu,Jhu-Yin Cheng,Tien-Yu Chen,Yi-Min Wang,Chi-Yung Cheng,Chia-Te Kung,Fu-Jen Cheng,Fei-Fei Flora Yau,Chun-Hung Richard Lin +8 more
TL;DR: In this article , a 1D convolutional neural network-based deep learning model was developed to predict hyperkalemia in a generic population, which was used in an active transfer learning process to perform patient-adaptive heartbeat classification tasks.
Journal ArticleDOI
Explainable deep learning model to predict invasive bacterial infection in febrile young infants: A retrospective study
Ying Yang,Yi-Min Wang,Chun-Hung Richard Lin,Chi-Yung Cheng,Chi-Ming Tsai,Ying-Hsien Huang,Tien-Yu Chen,I-Min Chiu +7 more
TL;DR: In this article , an explainable deep learning model that can predict invasive bacterial infection (IBI) in febrile infants was developed and validated, and the SHAP technique was used to explain the model's predictions at different levels.