| Autoencoders for improving quality of process event logs HTC Nguyen, S Lee, J Kim, J Ko, M Comuzzi Expert Systems with Applications 131, 132-147, 2019 | 49 | 2019 |
| Detecting anomalies in business process event logs using statistical leverage J Ko, M Comuzzi Information Sciences 549, 53-67, 2021 | 17 | 2021 |
| An empirical investigation of different classifiers, encoding, and ensemble schemes for next event prediction using business process event logs BA Tama, M Comuzzi, J Ko ACM Transactions on Intelligent Systems and Technology (TIST) 11 (6), 1-34, 2020 | 16 | 2020 |
| Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events J Ko, M Comuzzi Information Systems 104, 101894, 2022 | 13 | 2022 |
| A systematic review of anomaly detection for business process event logs J Ko, M Comuzzi Business & Information Systems Engineering 65 (4), 441-462, 2023 | 8 | 2023 |
| Online anomaly detection using statistical leverage for streaming business process events J Ko, M Comuzzi Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021 | 7 | 2021 |
| Business Process Event Log Anomaly Detection based on Statistical Leverage. J Ko, M Comuzzi ITBPM@ BPM, 7-12, 2021 | 3 | 2021 |
| AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs. J Ko, J Lee, M Comuzzi ICPM Doctoral Consortium/Tools, 35-38, 2020 | 3 | 2020 |
| Business Process Intelligence Challenge 2019: Process discovery and deviation analysis of purchase order handling process J Kim, J Ko, S Lee | 2 | 2019 |
| Predicting outpatient process flows to minimise the cost of handling returning patients: A case study M Comuzzi, J Ko, S Lee Business Process Management Workshops: BPM 2019 International Workshops …, 2019 | 2 | 2019 |
| Combining blockchain and IoT for safe and transparent nuclear waste management: A prototype implementation O Yessenbayev, DCD Nguyen, T Jeong, KJ Kang, HR Kim, J Ko, JY Park, ... Journal of Industrial Information Integration 39, 100596, 2024 | 1 | 2024 |
| Plan Recognition as Probabilistic Trace Alignment J Ko, FM Maggi, M Montali, R Peñaloza, RF Pereira 2023 5th International Conference on Process Mining (ICPM), 33-40, 2023 | 1 | 2023 |
| Fuzzy analytic network process for evaluating ERP post-implementation alternatives J Ko, M Comuzzi 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 1 | 2017 |
| Optimizing lane departure warning system towards AI-centered autonomous vehicles S Jeong, J Ko, S Lee, J Kang, Y Kim, SY Park, S Mun Sensors 24 (8), 2505, 2024 | | 2024 |
| Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction I Donadello, J Ko, FM Maggi, J Mendling, F Riva, M Weidlich arXiv preprint arXiv:2312.08847, 2023 | | 2023 |
| Approximating Multi-perspective Trace Alignment Using Trace Encodings A Gianola, J Ko, FM Maggi, M Montali, S Winkler International Conference on Business Process Management, 74-91, 2023 | | 2023 |
| Pattern-based Reconstruction of Anomalous Traces in Business Process Event Logs J Ko, M Comuzzi Available at SSRN 4062471, 2022 | | 2022 |
| Approximate Conformance Checking: Fast Computation of Multi-Perspective, Probabilistic Alignments A Gianola, JH Ko, FM Maggi, M Montali, S Winkler Probabilistic Alignments, 0 | | |
Marco ComuzziUlsan National Institute of Science and TechnologyDirección de correo verificada de unist.ac.kr
