Uncertainty Quantification in Machine Learning for Biosignal Applications--A Review
Uncertainty Quantification (UQ) has gained traction in an attempt to fix the black-box nature
of Deep Learning. Specifically (medical) biosignals such as electroencephalography (EEG) …
of Deep Learning. Specifically (medical) biosignals such as electroencephalography (EEG) …
A meta-learning approach for fast personalization of modality translation models in wearable physiological sensing
Modality translation grants diagnostic value to wearable devices by translating signals
collected from low-power sensors to their highly-interpretable counterparts that are more …
collected from low-power sensors to their highly-interpretable counterparts that are more …
Wearable Sensors for Precision Medicine Through Personalized, Holistic and Context-Aware Analytics
A Akbari - 2021 - oaktrust.library.tamu.edu
Recently, a growing percentage of healthcare takes place outside the traditional walls of
clinical care and is tightly coupled with daily experiences. The field of remote and …
clinical care and is tightly coupled with daily experiences. The field of remote and …