(2022)
Area Under ROC Curve as A Learning Objective for Balanced and Imbalanced Data Classification: Develo…
LG Energy Solution
logixation@gmail.com
(2023)
Decision Boundary-Aware Training of Neural Networks for Imbalanced Data Classification
Hudson AI
wolverine2@skku.edu
Temporal Peak-Managing and Clustering System for Sustainable Learning
포스코홀딩스 미래기술연구원
sasack3218@gmail.com
(2021)
Multiple indefinite kernel learning by integrating spectrum transformation techniques
Hyundai Elevator R&D본부 군제어팀
dooyeol.lee@hyundaielevator.com
Transfer Learning for Defect Detection of New Products Under Frequent Product Renewal: A Die-Casting…
jisookim.0921@gmail.com
(2014)
공공기관 R&D사업의 효율성 분석 : 한국광해관리공단 사례를 중심으로 Efficiency analysis of R&D projects in public institution us…
한국광해관리공단
cjkim@mireco.or.kr
(2015)
연구소기업의 성장요인분석 / An analysis of growing factors of the research institute companies
교수, 한국폴리텍대학 서울정수캠퍼스
leekb@kopo.ac.kr
불균형 데이터 분류를 위한 AUC 기반의 부스팅 알고리즘
KB증권
hanhyun@kbfg.com
불균형 데이터 분류를 위한 반복적 인공데이터 생성기법/A Repetitive Method of Artificial Data Generation for Unbalanced Data …
상무, Deloitte Consulting Korea
sholee@deloitte.com
(2018)
An optimization approach to learning weighted naive Bayesian classifiers
삼성전자 DS 혁신센터
taeheung.kim@lge.com
Gradient-Boosting 기반의 구성적 RBFN 학습 알고리즘 / Constructive RBFN Learning Algorithm based on Gradient-Boos…
Korea Credit Bureau
-
Learning decorrelated weak learners in adaptive boosting
Audit division, KIA
bonsung.gu@kia.com
흡수역량이 기업 핵심역량 및 경영성과에 미치는 영향에 관한 연구 : 직 · 간접효과 검증 / A study on the effects of absorptive capacity on…
교수, 한국폴리텍대학 신기술교육원
twoway@kopo.ac.kr
(2020)
A Data-driven Approach to Modeling Multiple Customer Satisfactions for New Product Development Using…
Research Engineer, Hyundai Elevator
jaeho.lee@hdel.co.kr
Detection of Field Failure Chips by Ensemble Learned from Different Chip Areas
삼성전자
ms9880.kim@samsung.com