| 2025 | ICPM | A Reinforcement Learning Framework for Event Log Anomaly Detection and Repair. | Jonghyeon Ko, Moe Thandar Wynn, Marco Comuzzi, Fabrizio Maria Maggi |
| 2024 | ICPM | On the Impact of Low-Quality Activity Labels in Predictive Process Monitoring. | Marco Comuzzi, Sungkyu Kim, Jonghyeon Ko, Musa Salamov, Cinzia Cappiello, Barbara Pernici |
| 2023 | BPM | Approximating Multi-perspective Trace Alignment Using Trace Encodings. | Alessandro Gianola, Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Sarah Winkler |
| 2023 | ICPM | Plan Recognition as Probabilistic Trace Alignment. | Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Pealoza, Ramon Fraga Pereira |
| 2021 | BPM | Business Process Event Log Anomaly Detection based on Statistical Leverage. | Jonghyeon Ko, Marco Comuzzi |
| 2020 | ICPM | Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events. | Jonghyeon Ko, Marco Comuzzi |
| 2020 | ICPM | AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs. | Jonghyeon Ko, Jongyup Lee, Marco Comuzzi |
| 2019 | BPM | Predicting Outpatient Process Flows to Minimise the Cost of Handling Returning Patients: A Case Study. | Marco Comuzzi, Jonghyeon Ko, Suhwan Lee |