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Seong-Whan Lee

11 papers hereh-index 171.1k citations44 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author11

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.HC3
  • eess.SP3
  • eess.AS2
  • cs.AI1
  • cs.NE1
  • q-bio.NC1
same name
  • Seong-Whan Lee — 52 papers, h 83
  • Seong-Whan Lee — 15 papers, h 17
  • Seong-Whan Lee — 13 papers, h 6
  • Seong-Whan Lee — 11 papers, h 4
  • Seong-Whan Lee — 10 papers, h 3
  • Seong-Whan Lee — 9 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedMobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

1 citations · 2 across the 11 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2023

Local-Global Temporal Fusion Network with an Attention Mechanism for Multiple and Multiclass Arrhythmia Classification

Yun Kwan Kim, Minji Lee, Kunwook Jo +2

Clinical decision support systems (CDSSs) have been widely utilized to support the decisions made by cardiologists when detecting and classifying arrhythmia from electrocardiograms…

eess.SP2022★ 1 cited

Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces

Serkan Musellim, Dong-Kyun Han, Ji-Hoon Jeong +1

Brain-computer interface (BCI) is challenging to use in practice due to the inter/intra-subject variability of electroencephalography (EEG). The BCI system, in general, necessitate…

eess.SP2020

Decoding Movement Imagination and Execution from EEG Signals using BCI-Transfer Learning Method based on Relation Network

D. -Y. Lee, J. -H. Jeong, K. -H. Shim +1

A brain-computer interface (BCI) is used not only to control external devices for healthy people but also to rehabilitate motor functions for motor-disabled patients. Decoding move…

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