International Journal
Kim, J., Comuzzi, M., Dumas, M., Maggi, F. M., & Teinemaa, I. (2022). Encoding resource experience for predictive process monitoring. Decision Support Systems, 153, 113669
Kim, J., & Comuzzi, M. (2021). A diagnostic framework for imbalanced classification in business process predictive monitoring. Expert Systems with Applications, 184, 115536
Kim, J., & Comuzzi, M. (2021). Stability metrics for enhancing the evaluation of outcome-based business process predictive monitoring. IEEE Access, 9, 133461-133471
Nguyen, H. T. C., Lee, S., Kim, J., Ko, J., & Comuzzi, M. (2019). Autoencoders for improving quality of process event logs. Expert Systems with Applications, 131, 132-147
International Conference
Kim, S., Oh, J., Kim, J. (2025). Bus stop congestion monitoring based on processs discovery algorithms. 2025 7th International Conference on Process Mining (ICPM), Empirical Research in Process Mining (ERPM) Workshop
Kim, J. (2025). Prediction of intensive care unit admission in sepsis patients based on activity sequence from event logs. 2025 INFORMS International Meeting (Singapore, Singapore)
Kim, J. (2019). Enhancing the quality of predictions in predictive business process monitoring. Proceedings of the ICPM 2019 Doctoral Consortium, co-located with 1st International Conference on Process Mining (Aachen, Germany)
Domestic Conference
김세온, 김종찬. (2025). 프로세스 디스커버리 알고리즘 기반 버스정류장 혼잡도 모니터링. 한국인공지능융합기술학회 춘계학술대회 2025
오정탁, 김종찬. (2025). 프로세스 적합성 검사를 활용한 버스 정시성 평가 프레임워크 개발. 한국인공지능융합기술학회 춘계학술대회 2025
Kim, J., Comuzzi, M. (2021). Measuring the anomaly detection stability of different anomaly patterns in business processes. Proceedings of KIIE (Korea Institute of Industrial Engineers) 2021 Annual Spring Conference
Kim, J., Comuzzi, M. (2018). Handling imbalanced data in real-time prediction of activities in business processes. Proceedings of KIIE (Korea Institute of Industrial Engineers) 2018 Annual Spring Conference