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ORCIDMinkyung Kim 0001
Person information
- affiliation: Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon, South Korea
Other persons with the same name
- Minkyung Kim 0002 — Kyung Hee University, Department of Journalism and Communication, Seoul, South Korea
- Minkyung Kim 0003
![[0000-0002-7050-2511]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7050-2511")
— University of Michigan, Medical School, Ann Arbor, MI, USA - Minkyung Kim 0004 — Soongsil University, Department of Media, South Korea
- Minkyung Kim 0005 — Ajou University, Suwon, South Korea
- Minkyung Kim 0006 — Yonsei University, Seoul, South Korea
- Minkyung Kim 0007 — NAVER LABS, Seoul, South Korea
- Minkyung Kim 0008 — Korea National University of Education, Cheongju, South Korea (and 2 more)
- Minkyung Kim 0009 — University of North Carolina at Chapel Hill, Business School, NC, USA
- Minkyung Kim 0010 — Samsung Electronics, Hwaseong, South Korea
- Minkyung Kim 0011 — University of Illinois Urbana-Champaign, IL, USA
- Minkyung Kim 0012 — Gwangju Institute of Science and Technology (GIST), School of Mechanical Engineering, South Korea (and 1 more)
- Minkyung Kim 0013 — Jeonju University, Department of Rehabilitation Science, South Korea
- Minkyung Kim 0014 — Sungkyunkwan University, Suwon, South Korea
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2020 – today
- 2024
[j5]Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi:
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13327-13339 (2024)- [j4]Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim:
Weakly Supervised Contrastive Learning for Unsupervised Vehicle Reidentification. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15543-15553 (2024) - 2023
- [j3]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Active anomaly detection based on deep one-class classification. Pattern Recognit. Lett. 167: 18-24 (2023) - [i5]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. CoRR abs/2302.06048 (2023) - [i4]Minkyung Kim, Jongmin Yu, Junsik Kim, Tae-Hyun Oh, Jun Kyun Choi:
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination. CoRR abs/2309.09436 (2023) - [i3]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Active anomaly detection based on deep one-class classification. CoRR abs/2309.09465 (2023) - 2022
- [j2]Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Sehun Jung:
Unusual Insider Behavior Detection Framework on Enterprise Resource Planning Systems Using Adversarial Recurrent Autoencoder. IEEE Trans. Ind. Informatics 18(3): 1541-1551 (2022) - [c8]Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. ICDM (Workshops) 2022: 39-46 - [c7]Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh:
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. ICRA 2022: 905-911 - 2021
- [j1]Jongmin Yu, Minkyung Kim, Hyeontaek Oh, Jinhong Yang:
Real-Time Abnormal Insider Event Detection on Enterprise Resource Planning Systems via Predictive Auto-Regression Model. IEEE Access 9: 62276-62284 (2021) - [c6]Junghyun Lee, Minkyung Kim, Sangdon Park, Jun Kyun Choi, Yoonjin Hwang:
Driver Identification for Different Road Shapes Using Vehicle IoT Sensing Data. ICCE 2021: 1-5 - [i2]Jongmin Yu, Junsik Kim, Minkyung Kim, Hyeontaek Oh:
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification. CoRR abs/2109.06401 (2021) - [i1]Jongmin Yu, Hyeontaek Oh, Minkyung Kim, Junsik Kim:
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination. CoRR abs/2110.14825 (2021)
2010 – 2019
- 2018
- [c5]Minkyung Kim, Sangdon Park, Kireem Han, Nakyoung Kim, Jun Kyun Choi:
Dynamics of Electricity Consumers for Classifying Power Consumption Data Using PCA. BigComp 2018: 697-700 - [c4]Nakyoung Kim, Minkyung Kim, Jun Kyun Choi:
LSTM Based Short-term Electricity Consumption Forecast with Daily Load Profile Sequences. GCCE 2018: 136-137 - [c3]Jaeseob Han, Sangdon Park, Gyeong Ho Lee, Minkyung Kim, Hyeonseok Seo, Jun Kyun Choi:
Energy Trading in Wireless Power Transmission System Considering Nonlinear Rectifier. GCCE 2018: 145-146 - [c2]Jangkyum Kim, Jaeseob Han, Nakyoung Kim, Minkyung Kim, Jun Kyun Choi:
Analysis of power usage at household and proper energy management. ICTC 2018: 706-708 - 2017
- [c1]Minkyung Kim, Sangdon Park, Jun Kyun Choi, Joohyung Lee:
Energy independence of energy trading system in microgrid. ISGT Asia 2017: 1-4
Coauthor Index
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