Youngchul Kwak

Orcid: 0000-0002-5161-311X

According to our database1, Youngchul Kwak authored at least 9 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Subject-Invariant Deep Neural Networks Based on Baseline Correction for EEG Motor Imagery BCI.
IEEE J. Biomed. Health Informatics, April, 2023

2022
Penalty based robust learning with noisy labels.
Neurocomputing, 2022

2021
Mitigating Memorization in Sample Selection for Learning with Noisy Labels.
CoRR, 2021

Deep feature normalization using rest state EEG signals for Brain-Computer Interface.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

2020
Multilevel Feature Fusion With 3D Convolutional Neural Network for EEG-Based Workload Estimation.
IEEE Access, 2020

3D CNN based Multilevel Feature Fusion for Workload Estimation.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020

2019
Speckle-Noise-Invariant Convolutional Neural Network for SAR Target Recognition.
IEEE Geosci. Remote. Sens. Lett., 2019

Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks.
IEEE Access, 2019

Classification of Working Memory Performance from EEG with Deep Artificial Neural Networks.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019


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