1 code implementation • 22 Mar 2022 • Jauen Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk
Based on our overall results, we believe that TransSleep has immense potential to provide new insights into deep learning-based sleep staging.
1 code implementation • 3 Dec 2021 • Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk
Modeling non-Euclidean data is drawing extensive attention along with the unprecedented successes of deep neural networks in diverse fields.
no code implementations • 1 Jul 2020 • Wonjun Ko, Eunjin Jeon, Heung-Il Suk
In this work, we formulate the problem of estimating and selecting task-relevant temporal signal segments from a single EEG trial in the form of a Markov decision process and propose a novel reinforcement-learning mechanism that can be combined with the existing deep-learning based BCI methods.
no code implementations • 2 Mar 2020 • Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk
Among the various deep network architectures, convolutional neural networks have been well suited for spatio-spectral-temporal electroencephalogram signal representation learning.
1 code implementation • 17 Oct 2019 • Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk
In this paper, we propose a novel framework that learns class-relevant and subject-invariant feature representations in an information-theoretic manner, without using adversarial learning.