activity
20192026
most citedIntra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG

243 citations · 318 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.CV2022★ 4 cited

Block Selection Method for Using Feature Norm in Out-of-distribution Detection

Yeonguk Yu, Sungho Shin, Seongju Lee +2

Detecting out-of-distribution (OOD) inputs during the inference stage is crucial for deploying neural networks in the real world. Previous methods commonly relied on the output of…

cs.LG2022★ 70 cited

SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning

Seongju Lee, Yeonguk Yu, Seunghyeok Back +2

Automatic sleep scoring is essential for the diagnosis and treatment of sleep disorders and enables longitudinal sleep tracking in home environments. Conventionally, learning-based…