most citedU-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2023★ 2 cited

U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging

Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse +3

As machine learning becomes increasingly prevalent in critical fields such as healthcare, ensuring the safety and reliability of machine learning systems becomes paramount. A key c…

eess.SP2021

Feature matching as improved transfer learning technique for wearable EEG

Elisabeth R. M. Heremans, Huy Phan, Amir H. Ansari +4

Objective: With the rapid rise of wearable sleep monitoring devices with non-conventional electrode configurations, there is a need for automated algorithms that can perform sleep…