Heeyoung Kim

Heeyoung Kim

KAIST · Graduate School of Data Science

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Professor

Prof. 김희영

Professor's page · publications

About

공학 데이터 과학을 연구하며 복잡한 공학 문제에 통계·기계학습 방법론을 적용한다. 베이지안 방법과 가우시안 과정 등을 활용한 공정·품질 분석과 센서 데이터 모델링을 주요 주제로 다룬다.

Research keywords

Data science methodologies

Recent papers

Cluster‐Based Classification for Mixed‐Type Data Under Data ScarcityStatistical Analysis and Data Mining The ASA Data Science Journal · Aug 1

From OpenAlex · papers whose author affiliation matches this university

Labs doing related research

Labs that recently published on topics this lab's recent papers share

Sugiyama-Ishida Laboratory
The University of Tokyo · Department of Computer Science
Bayes-Optimal BER and AUC: Estimation and Evaluation of EstimatorsPreprintarXiv (Cornell University) · Sep 2
Shared topic: Imbalanced Data Classification Techniques

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