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Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error

Accurately estimates inter-beat intervals from noisy ECG signals by suppressing the noise and making the peaks more prominent.

Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition

Cross domain activity recognition using transfer learning

Use of Machine Learning to Predict Medication Adherence in Individuals at Risk for Atherosclerotic Cardiovascular Disease

Briefly evaluates the factors behind medication adherence of patients at risk for atherosclerotic cardiovascular disease.