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

Publications (2)

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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...


... 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. ...