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Found 2 papers, 1 papers with code
Benchmarking changepoint detection algorithms on cardiac time series
This work represents the first time change point detection algorithms have been compared in a meaningful way and utilized in a classification task, which demonstrates the effect of changepoint algorithm choice on application performance.
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling
Supervised machine learning applications in health care are often limited due to a scarcity of labeled training data.
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