Congratulations!!! Jiyeon and Wonjun’s paper, titled “A Unified Framework for Personalized Regions Selection and Functional Relation Modeling for Early MCI Identification,” is accepted for publication in NeuroImage.
Author: milab
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Graduate students position opening
Functional MRI – and Machine/Deep-Learning-based Brain Disorder/Disease Diagnosis and Prognosis We seek a couple of highly motivated graduate students on functional brain imaging analysis and machine/deep learning-based brain disease diagnosis and prognosis. It is especially encouraged for those eager to develop advanced brain network modeling and functional MRI-based diagnostic methods by developing or applying recent...
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[KU 연구장려장학금] 고원준, 전은지 수상
고원준, 전은지 연구원이 고려대 최우수대학원생에게 수여하는 “KU 연구장려장학금”를 수상하였습니다.“연구장려장학금”은 고려대 정보대학이 연구력 향상을 위해 우수한 논문을 제출한 수료연구생에게 우수논문상과 더불어 연구장려장학금을 지급합니다. 축하합니다!
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Accepted to IEEE Computational Intelligence Magazine
Congratulations!!! Wonjun’s work on “Multi-Scale Neural Network for EEG Representation Learning in BCI” is accepted to IEEE Computational Intelligence Magazine (IF: 9.083).
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Accepted to IEEE-CYB
Congratulations!!! Wisnu’s work on “Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series” is accepted to IEEE Transactions on Cybernetics.
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Accepted to BCI2021
Congratulations!!! Seungwoo’s work on “Fine-grained Temporal Attention Network for EEG-based Seizure Detection” is accepted to BCI2021.
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Jee Seok awarded “JW Foundation Fundamental Scientist Scholarship”.
Congratulations!! Jee Seok Yoon won the 1st JW Foundation Fundamental Scientist Scholarship. JW Foundation awards living stipends of 24M won (about $22,000) to Ph.D. students with the potential to be future leaders in the field of fundamental science.
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Accepted to IEEE-TNNLS
Congratulations!!! Jeeseok’s paper on “A Plug-in Method for Representation Factorization in Connectionist Models” is accepted to IEEE-TNNLS.
![[2021 2월 학위 취득 예정]](https://milab.korea.ac.kr/wordpress/wp-content/uploads/2021/08/graduate-300x300.jpg "graduation cap diploma isolated on a white background")
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한국인공지능학회 (최)우수 논문 시상 관련 국내 언론 보도
[AI타임즈]/[Lab news] 한국인공지능학회(학회장 유창동) 하계 학술대회 시상에서 최우수 논문 2편과 우수 논문 8편 중 최우수 논문으로 석흥일 고려대 교수팀의 논문 ‘Personalized Regions Selection and Graph Relational Modeling for Early MCI Identification’, 우수 논문으로는 ‘Uncertainty-Gated Stochastic Sequential Model for EHR Data Imputation and In-Hospital Mortality Prediction’ 선정되었습니다.