Charmgil Hong

Orcid: 0000-0002-8176-252X

According to our database1, Charmgil Hong authored at least 22 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Artificial Intelligence-Driven Video Indexing for Rapid Surveillance Footage Summarization and Review.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Transformer for Point Anomaly Detection.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

VATMAN: Video Anomaly Transformer for Monitoring Accidents and Nefariousness.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

AREST: Attention-Based Red-Light Violation Detection for Safety Technology.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023
Drug Induced Liver Injury Prediction with Injective Molecular Transformer.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

Crime Scene Detection in Surveillance Videos Using Variational AutoEncoder-Based Support Vector Data Description.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

AWS: GNNs that Aggregate with Self-node Representation for Dehydrogenation Enthalpy Prediction.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2021
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks.
CoRR, 2021

2019
Identifying incidental findings from radiology reports of trauma patients: An evaluation of automated feature representation methods.
Int. J. Medical Informatics, 2019

2018
Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017
Detection of Abnormal Input-Output Associations.
CoRR, 2017

2016
Outlier-based detection of unusual patient-management actions: An ICU study.
J. Biomed. Informatics, 2016

Detecting Unusual Input-Output Associations in Multivariate Conditional Data.
CoRR, 2016

Dealing with Class Imbalance using Thresholding.
CoRR, 2016

Multivariate Conditional Outlier Detection and Its Clinical Application.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
MCODE: Multivariate Conditional Outlier Detection.
CoRR, 2015

A Generalized Mixture Framework for Multi-label Classification.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Multivariate Conditional Anomaly Detection and Its Clinical Application.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Mixtures-of-Experts Framework for Multi-Label Classification.
CoRR, 2014

An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A Mixtures-of-Trees Framework for Multi-Label Classification.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
An efficient probabilistic framework for multi-dimensional classification.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013


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