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ORCIDCharmgil Hong
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2020 – today
- 2024
[c14]Harim Kim, Minchae Kim, Taewoo Kim, Kyujin Cho, Charmgil Hong:
AREST: Attention-Based Red-Light Violation Detection for Safety Technology. AVSS 2024: 1-7- [c13]Harim Kim, Chang Ha Lee, Charmgil Hong:
VATMAN: Video Anomaly Transformer for Monitoring Accidents and Nefariousness. AVSS 2024: 1-7 - [c12]Harim Kim, Chang Ha Lee, Charmgil Hong:
Transformer for Point Anomaly Detection. CIKM 2024: 1080-1088 - [c11]Jaemin Jung, Soonyong Park, Harim Kim, Chang Ha Lee, Charmgil Hong:
Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review. IJCAI 2024: 8687-8690 - 2023
- [c10]Geonyeong Choi, Hyunwoo Yook, Jeong-Woo Han, Charmgil Hong:
AWS: GNNs that Aggregate with Self-node Representation for Dehydrogenation Enthalpy Prediction. ACIIDS (Companion) 2023: 169-180 - [c9]Harim Kim, Chang Ha Lee, Charmgil Hong:
Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder-Based Support Vector Data Description. ACIIDS (Companion) 2023: 451-464 - [c8]Geonyeong Choi, Hyo Jung Cho, Soon Sun Kim, Ji Eun Han, Jae Youn Cheong, Charmgil Hong:
Drug Induced Liver Injury Prediction with Injective Molecular Transformer. BHI 2023: 1-4 - 2021
- [i6]Junhyung Kim, Byungyoon Park, Charmgil Hong:
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks. CoRR abs/2107.05941 (2021)
2010 – 2019
- 2019
- [j2]Gaurav Trivedi
, Charmgil Hong, Esmaeel R. Dadashzadeh, Robert M. Handzel, Harry Hochheiser, Shyam Visweswaran:
Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods. Int. J. Medical Informatics 129: 81-87 (2019) - 2018
- [c7]Charmgil Hong, Milos Hauskrecht:
Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data. FLAIRS 2018: 176-179 - 2017
- [i5]Charmgil Hong, Siqi Liu, Milos Hauskrecht:
Detection of Abnormal Input-Output Associations. CoRR abs/1708.01035 (2017) - 2016
- [j1]Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont:
Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics 64: 211-221 (2016) - [c6]Charmgil Hong, Milos Hauskrecht:
Multivariate Conditional Outlier Detection and Its Clinical Application. AAAI 2016: 4216-4217 - [i4]Charmgil Hong, Rumi Ghosh, Soundar Srinivasan:
Dealing with Class Imbalance using Thresholding. CoRR abs/1607.02705 (2016) - [i3]Charmgil Hong, Milos Hauskrecht:
Detecting Unusual Input-Output Associations in Multivariate Conditional Data. CoRR abs/1612.07374 (2016) - 2015
- [c5]Charmgil Hong, Milos Hauskrecht:
Multivariate Conditional Anomaly Detection and Its Clinical Application. AAAI 2015: 4239-4240 - [c4]Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Generalized Mixture Framework for Multi-label Classification. SDM 2015: 712-720 - [i2]Charmgil Hong, Milos Hauskrecht:
MCODE: Multivariate Conditional Outlier Detection. CoRR abs/1505.04097 (2015) - 2014
- [c3]Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Mixtures-of-Trees Framework for Multi-Label Classification. CIKM 2014: 211-220 - [c2]Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht:
An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SDM 2014: 992-1000 - [i1]Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Mixtures-of-Experts Framework for Multi-Label Classification. CoRR abs/1409.4698 (2014) - 2013
- [c1]Iyad Batal, Charmgil Hong, Milos Hauskrecht:
An efficient probabilistic framework for multi-dimensional classification. CIKM 2013: 2417-2422
Coauthor Index
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