Center for Art Studies

output

20202026

most citedI see artifacts: ICA-based EEG artifact removal does not improve deep network decoding across three BCI tasks

8 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

Seong-Whan Lee3 profiles5 · h 83
Gi-Hwan Shin2 · h 6
Ji-Hoon Jeong2 · h 21
Minji Lee2 · h 22
Yosep Chong2 profiles2 · h 5
Young-Seok Kweon2 · h 4
Bokyeong Ryu1 · h 14
Byoung-Hee Kwon1 · h 6
Christian Wallraven1 · h 3
Dae-Hyeok Lee1 · h 11
Dongkyu Park1 · h 1
Eojin Jeon1 · h 1

collaborating institutions

Institute of Cognitive and Brain SciencesUS5 papers
Korea UniversityKR3 papers
Artificial Intelligence in Medicine (Canada)CA1 paper
Berlin Institute for the Foundations of Learning and DataDE1 paper
Berlin Institute of Health at Charité - Universitätsmedizin BerlinDE1 paper
Catholic University of KoreaKR1 paper
Charité - Universitätsmedizin BerlinDE1 paper
ETH ZurichCH1 paper
Hanyang UniversityKR1 paper
Jeju National UniversityKR1 paper
Max Planck Institute for InformaticsDE1 paper
Miami UniversityUS1 paper

Showing 2026 · cs.HCShow all

1 paper · 2 filters

cs.HC2026★ 8 cited

I see artifacts: ICA-based EEG artifact removal does not improve deep network decoding across three BCI tasks

Taeho Kang, Yiyu Chen, Christian Wallraven

In this paper, we conduct a detailed investigation on the effect of independent component (IC)-based noise rejection methods in neural network classifier-based decoding of electroe…