(2021)
Multiple indefinite kernel learning by integrating spectrum transformation techniques
Hyundai Elevator R&D본부 군제어팀
dooyeol.lee@hyundaielevator.com
(2022)
Transfer Learning for Defect Detection of New Products Under Frequent Product Renewal: A Die-Casting…
LG Energy Solution
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)
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)
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
(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
Convergence Analysis of Connection Center Evolution and Faster Clustering
삼성전자 DS 혁신센터
jmlee8939@hanmail.net
(2023)
Monotonicity-Incorporative Neural Network Training for Response Surface Methodology
ljh7061@gmail.com
(2024)
Gently-sloped and extended classification margin for overconfidence relaxation of out-of-distributio…
redxtar1@naver.com
Conditional Tabular GAN combined with CAT2VEC to learn from mixed and class-imbalanced data
우아한형제들(배달의민족) 데이터분석
seokjun0802@naver.com
Enhancing Deep-Learning-as-a-Service with Optimized Architectures: A Framework Focused on Service-Le…
Current Position: POSCO DX
ess0910@poscodx.com