Charmgil Hong

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 11

Top Topics

Outlier Detection

Support Vector Data Description

Multi Label Classification

Top Venues

ACIIDS (Companion)

Publications

Geonyeong Choi, Hyunwoo Yook, Jeong-Woo Han, Charmgil Hong
AWS: GNNs that Aggregate with Self-node Representation for Dehydrogenation Enthalpy Prediction. ACIIDS (Companion) (2023)
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)
Harim Kim, Chang Ha Lee, Charmgil Hong
Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder-Based Support Vector Data Description. ACIIDS (Companion) (2023)
Junhyung Kim, Byungyoon Park, Charmgil Hong
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks. CoRR (2021)
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 (2019)
Charmgil Hong, Milos Hauskrecht
Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data. FLAIRS Conference (2018)
Charmgil Hong, Siqi Liu, Milos Hauskrecht
Detection of Abnormal Input-Output Associations. CoRR (2017)
Charmgil Hong, Milos Hauskrecht
Detecting Unusual Input-Output Associations in Multivariate Conditional Data. CoRR (2016)
Charmgil Hong, Milos Hauskrecht
Multivariate Conditional Outlier Detection and Its Clinical Application. AAAI (2016)
Charmgil Hong, Rumi Ghosh, Soundar Srinivasan
Dealing with Class Imbalance using Thresholding. CoRR (2016)
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 (2016)
Charmgil Hong, Milos Hauskrecht
Multivariate Conditional Anomaly Detection and Its Clinical Application. AAAI (2015)
Charmgil Hong, Milos Hauskrecht
MCODE: Multivariate Conditional Outlier Detection. CoRR (2015)
Charmgil Hong, Iyad Batal, Milos Hauskrecht
A Generalized Mixture Framework for Multi-label Classification. SDM (2015)
Charmgil Hong, Iyad Batal, Milos Hauskrecht
A Mixtures-of-Experts Framework for Multi-Label Classification. CoRR (2014)
Charmgil Hong, Iyad Batal, Milos Hauskrecht
A Mixtures-of-Trees Framework for Multi-Label Classification. CIKM (2014)
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)
Iyad Batal, Charmgil Hong, Milos Hauskrecht
An efficient probabilistic framework for multi-dimensional classification. CIKM (2013)