1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Local Temporal Feature Enhanced Transformer with ROI-rank Based Masking for Diagnosis of ADHD
Byunggun Kim, Younghun Kwon
In modern society, Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the common mental diseases discovered not only in children but also in adults. In this context, we prop…
cs.SD2024
Searching for Effective Preprocessing Method and CNN-based Architecture with Efficient Channel Attention on Speech Emotion Recognition
Byunggun Kim, Younghun Kwon
Speech emotion recognition (SER) classifies human emotions in speech with a computer model. Recently, performance in SER has steadily increased as deep learning techniques have ada…
eess.IV2021★ 1 cited
Finding essential parts of the brain in rs-fMRI can improve diagnosing ADHD by Deep Learning
Byunggun Kim, Jaeseon Park, Taehun Kim +1
Attention Deficit\Hyperactivity Disorder(ADHD) is considered a very common psychiatric disorder, but it is difficult to establish an accurate diagnostic method for ADHD. Recently,…