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2020 – today
- 2024
[j7]Olzhas Yessenbayev
, Dung Chi Duy Nguyen, Taeseok Jeong, Ki Joon Kang, Hee Reyoung Kim, Jonghyeon Ko, Jin-Young Park, Myung-Sub Roh, Marco Comuzzi:
Combining blockchain and IoT for safe and transparent nuclear waste management: A prototype implementation. J. Ind. Inf. Integr. 39: 100596 (2024)- [j6]Siwoo Jeong, Jonghyeon Ko, Sukki Lee, Jihoon Kang, Yeni Kim, Soon Yong Park, Sungchul Mun:
Optimizing Lane Departure Warning System towards AI-Centered Autonomous Vehicles. Sensors 24(8): 2505 (2024) - 2023
- [j5]Jonghyeon Ko, Marco Comuzzi:
A Systematic Review of Anomaly Detection for Business Process Event Logs. Bus. Inf. Syst. Eng. 65(4): 441-462 (2023) - [c8]Alessandro Gianola, Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Sarah Winkler:
Approximating Multi-perspective Trace Alignment Using Trace Encodings. BPM 2023: 74-91 - [c7]Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Ramon Fraga Pereira:
Plan Recognition as Probabilistic Trace Alignment. ICPM 2023: 33-40 - [i3]Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi, Jan Mendling, Francesco Riva, Matthias Weidlich:
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction. CoRR abs/2312.08847 (2023) - 2022
- [j4]Jonghyeon Ko, Marco Comuzzi:
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events. Inf. Syst. 104: 101894 (2022) - [c6]Jonghyeon Ko, Marco Comuzzi:
Pattern-based Reconstruction of Anomalous Traces in Business Process Event Logs. CI4PM/PAI@WCCI 2022: 21-32 - 2021
- [j3]Jonghyeon Ko, Marco Comuzzi:
Detecting anomalies in business process event logs using statistical leverage. Inf. Sci. 549: 53-67 (2021) - [c5]Jonghyeon Ko, Marco Comuzzi:
Business Process Event Log Anomaly Detection based on Statistical Leverage. ITBPM@BPM 2021: 7-12 - [i2]Jonghyeon Ko, Marco Comuzzi:
Online anomaly detection using statistical leverage for streaming business process events. CoRR abs/2103.00831 (2021) - 2020
- [j2]Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko:
An Empirical Investigation of Different Classifiers, Encoding, and Ensemble Schemes for Next Event Prediction Using Business Process Event Logs. ACM Trans. Intell. Syst. Technol. 11(6): 68:1-68:34 (2020) - [c4]Jonghyeon Ko, Jongyup Lee, Marco Comuzzi:
AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs. ICPM Doctoral Consortium / Tools 2020: 35-38 - [c3]Jonghyeon Ko, Marco Comuzzi:
Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events. ICPM Workshops 2020: 193-205 - [i1]Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko:
An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs. CoRR abs/2008.10748 (2020)
2010 – 2019
- 2019
- [j1]Hoang Thi Cam Nguyen, Suhwan Lee, Jongchan Kim, Jonghyeon Ko, Marco Comuzzi:
Autoencoders for improving quality of process event logs. Expert Syst. Appl. 131: 132-147 (2019) - [c2]Marco Comuzzi, Jonghyeon Ko, Suhwan Lee:
Predicting Outpatient Process Flows to Minimise the Cost of Handling Returning Patients: A Case Study. Business Process Management Workshops 2019: 557-569 - 2017
- [c1]Jonghyeon Ko, Marco Comuzzi:
Fuzzy analytic network process for evaluating ERP post-implementation alternatives. FUZZ-IEEE 2017: 1-6
Coauthor Index
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last updated on 2024-08-07 22:25 CEST by the dblp team
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