18 citations · 34 across the 6 of their papers we have counts for
6 papers
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging
Jauen Phyo, Wonjun Ko, Eunjin Jeon +1
Sleep staging is essential for sleep assessment and plays a vital role as a health indicator. Many recent studies have devised various machine learning as well as deep learning arc…
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi +1
Modeling non-Euclidean data is drawing extensive attention along with the unprecedented successes of deep neural networks in diverse fields. Particularly, a symmetric positive defi…
A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs
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 propo…
Multi-Scale Neural network for EEG Representation Learning in BCI
Wonjun Ko, Eunjin Jeon, Seungwoo Jeong +1
Recent advances in deep learning have had a methodological and practical impact on brain-computer interface research. Among the various deep network architectures, convolutional ne…
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,…
A Plug-in Method for Representation Factorization in Connectionist Models
Jee Seok Yoon, Myung-Cheol Roh, Heung-Il Suk
In this article, we focus on decomposing latent representations in generative adversarial networks or learned feature representations in deep autoencoders into semantically control…