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researcher

Jee Seok Yoon

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedBorn Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2020★ 3 cited

Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision

Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk

There exists an apparent negative correlation between performance and interpretability of deep learning models. In an effort to reduce this negative correlation, we propose a Born…

cs.LG2019

Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI

Eunjin Jeon, Wonjun Ko, Jee Seok Yoon +1

In recent years, deep learning-based feature representation methods have shown a promising impact in electroencephalography (EEG)-based brain-computer interface (BCI). Nonetheless,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.