JooSeuk Kim

6 papers and 171 indexed citations i.

JooSeuk Kim is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, JooSeuk Kim has authored 6 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in JooSeuk Kim’s work include Anomaly Detection Techniques and Applications (3 papers), Statistical Methods and Inference (2 papers) and Machine Learning and ELM (2 papers). JooSeuk Kim is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Statistical Methods and Inference (2 papers) and Machine Learning and ELM (2 papers). JooSeuk Kim collaborates with scholars based in United States. JooSeuk Kim's co-authors include Clayton Scott and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Machine Learning Research.