Daewoo Pak, Seon Kim, Hyunwoo Jo, Jongchan Kim (2026). Personalized Disease Prediction Framework based on Genomic Variants and Disease Histories using Deep Embeddings and Alignment-based Process Conformance Checking. Scientific Reports, Accepted
Hyunwoo Jo, Seon Kim, Hyunwoo Son, Jongchan Kim (2026). Clinical Text Embeddings: A Systematic Review of Methods, Applications, and Future Directions. International Journal of Medical Informatics, 217, 106505 (Editor's Choice)
2022
Jongchan Kim, Marco Comuzzi, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa (2022). Encoding resource experience for predictive process monitoring. Decision Support Systems, 153, 113669
2021
Jongchan Kim, Marco Comuzzi (2021). A diagnostic framework for imbalanced classification in business process predictive monitoring. Expert Systems with Applications, 184, 115536
Jongchan Kim, Marco Comuzzi (2021). Stability metrics for enhancing the evaluation of outcome-based business process predictive monitoring. IEEE Access, 9, 133461-133471
2019
Hoang Nguyen, Suhwan Lee, Jongchan Kim, Jonghyeon Ko, Marco Comuzzi (2019). Autoencoders for improving quality of process event logs. Expert Systems with Applications, 131, 132-147