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University of Applied Sciences Technikum Wien

Austria

2 papers here8 citations across 2
fields
  • cs.HC1
  • math.FA1
ROR 04jsx0x49OpenAlex

affiliations via OpenAlex

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
  • Christian Wallraven1 · h 3
  • G. Schindl1 · h 15
  • Taeho Kang1 · h 7
  • Yiyu Chen1 · h 6
collaborating institutions
  • Center for Art StudiesKR1 paper
  • Korea UniversityKR1 paper

2 papers

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…

math.FA2026

On the conjugate weight function and ultradifferentiable classes of entire functions

Gerhard Schindl

We introduce the new notion of a conjugate weight function and provide a detailed study of this operation and its properties. Then we apply this knowledge to study classes of ultra…

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