Congratulations!!! Jaeun’s paper on “TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging,” has been accepted to IEEE Transactions on...
Welcome to the Machine Intelligence Lab. (MILab)
The Machine Intelligence Laboratory is focusing on researches on developing machine learning and deep learning methods to investigate and analyze patterns inherent in various forms of data with their application to medical/computer vision, brain-computer interfaces, healthcare, and neuroinformatics.
Lab’s latest news
Accepted to CIKM2022
Congratulations!!! Wonjun’s work on “EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation” has been accepted to present at CIKM2022.
Accepted to IEEE-TPAMI
Congratulations!! Kwanseok and Jee-Seok’s (Co-first) paper, “Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer’s Disease Diagnosis Model,” has been...
4 Papers Accepted to CKAIA 2022
Congratulations!!! We have 4 papers accepted to present at CKAIA 2022.
Accepted to KIISE-KCC 2022
Congratulations!!! Jaehyun’s work has been accepted to present in KIISE-KCC 2022.
2 Papers Accepted to MICCAI 2022
Congratulations!!! Eunsong and Jieun’s papers are early accepted for presentation at MICCAI 2022.Both of their works are among the top...
Accepted to IEEE-JBHI
Congratulations. Yurim and Eunji’s work on “Multi-view Integrative Attention-based Deep Representation Learning for Irregular Clinical Time-series Data” is accepted for publication...
Accepted to IEEE-TMI
Congratulations!!! Wonjun’s work on “A Deep Generative–Discriminative Learning for Multi-modal Representation in Imaging Genetics,” is accepted for publication in IEEE-TMI.