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Youngbum  Hur
Youngbum Hur
Assistant Professor of Industrial Engineering, Inha University
Zweryfikowany adres z inha.ac.kr - Strona główna
Tytuł
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Cytowane przez
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Distribution aligning refinery of pseudo-label for imbalanced semi-supervised learning
J Kim, Y Hur, S Park, E Yang, SJ Hwang, J Shin
Advances in Neural Information Processing Systems (NeurIPS), 2020
2102020
Appointment scheduling at a multidisciplinary outpatient clinic using stochastic programming
Y Hur, JF Bard, DJ Morrice
Naval Research Logistics (NRL) 68 (1), 134-155, 2021
142021
A stochastic optimization approach to shift scheduling with breaks adjustments
Y Hur, JF Bard, M Frey, F Kiermaier
Computers & Operations Research 107, 127-139, 2019
142019
Hierarchy machine set-up for multi-pass lot scheduling at semiconductor assembly and test facilities
Y Hur, JF Bard, R Chacon
International Journal of Production Research 57 (14), 4351-4370, 2019
92019
A Simple Framework for Robust Out-of-Distribution Detection
Y Hur, E Yang, SJ Hwang
IEEE Access 10, 23086-23097, 2022
52022
An investigation of shift and break flexibility with real-time break assignments using a rolling horizon approach
Y Hur, JF Bard, M Frey, F Kiermaier
Flexible Services and Manufacturing Journal 31 (1), 174-211, 2019
52019
Quantum Computing for Airline Problems
Y Hur
Airline Group of the International Federation of Operational Research …, 2018
42018
Malaysian Name-based Ethnicity Classification using LSTM
Y Hur
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 12 (6), 3855-3867, 2022
22022
Optimization Models for Manufacturing and Personnel Scheduling
Y Hur
University of Texas at Austin, 2017
22017
Method and apparatus with image analysis
HUR Youngbum, J Shin, T Jihoon
US Patent App. 17/574,959, 2022
12022
Self-Supervised Anomaly Detection using Outliers for Multivariate Time Series
J Hong, Y Hur
IEEE Access 12, 197516-197528, 2024
2024
TripletMatch: Wafer Map Defect Detection Using Semi-Supervised Learning and Triplet Loss with Mixup
C Lim, Y Hur
IEEE Access 12, 182726 - 182736, 2024
2024
Consistency Regularization for Training Confidence-Calibrated Classifiers
Y Hur, J Tack, E Yang, SJ Hwang, J Shin
ICML Workshop on Uncertainty & Robustness in Deep Learning (UDL), 2021
2021
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