I major in Applied Statistics and Computer Science, and I am deeply interested in Data Science and Machine Learning / Deep Learning.
I am currently conducting research at the CAU-ET AI Lab, a deep learning–oriented laboratory focusing on signal, speech, and audio processing.
My primary research interests lie in biosignal analysis, with a particular focus on ECG (Electrocardiogram) and EEG (Electroencephalogram) signals.
My research is mainly centered on deep learning–based approaches for modeling, analyzing, and interpreting complex biosignal data.
- Clustering(cont.) [바로가기]
- (Inceptionv3) Rethinking the Inception Architecture for Computer Vision [바로가기]
- (VGG) Very Deep Convolutional Networks for Large-Scale Image Recognition [바로가기]
- (ZFNet) Visualizing and Understanding Convolutional Networks [바로가기]
- (AlexNet) ImageNet Classification with Deep Convolutional Neural Networks [바로가기]
also can design DB
