Younghwan Kim's research while affiliated with Korea University and other places

Publications (2)

Article
Full-text available
There have been many efforts to detect rumors using various machine learning (ML) models, but there is still a lack of understanding of their performance against different rumor topics and available features, resulting in a significant performance degrade against completely new and unseen (unknown) rumors. To address this issue, we investigate the...

Citations

... Due to the novelty of the dataset, released in 2020, there is a lack of IDS implemented on this dataset. However, in [212] the authors present an anomaly detection strategy based on clustered deep one-class classification (CD-OCC). It is an unsupervised approach that combines clustering algorithms with deep learning (DL) models. ...