Jonghyeon Ko

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Business Process

Anomaly Detection

Workflow Models

Top Venues

Bus. Inf. Syst. Eng.

Publications

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 (2024)
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) (2024)
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 (2023)
Jonghyeon Ko, Marco Comuzzi
A Systematic Review of Anomaly Detection for Business Process Event Logs. Bus. Inf. Syst. Eng. 65 (4) (2023)
Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Ramon Fraga Pereira
Plan Recognition as Probabilistic Trace Alignment. ICPM (2023)
Alessandro Gianola, Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Sarah Winkler
Approximating Multi-perspective Trace Alignment Using Trace Encodings. BPM (2023)
Jonghyeon Ko, Marco Comuzzi
Pattern-based Reconstruction of Anomalous Traces in Business Process Event Logs. CI4PM/PAI@WCCI (2022)
Jonghyeon Ko, Marco Comuzzi
Keeping our rivers clean: Information-theoretic online anomaly detection for streaming business process events. Inf. Syst. 104 (2022)
Jonghyeon Ko, Marco Comuzzi
Detecting anomalies in business process event logs using statistical leverage. Inf. Sci. 549 (2021)
Jonghyeon Ko, Marco Comuzzi
Online anomaly detection using statistical leverage for streaming business process events. CoRR (2021)
Jonghyeon Ko, Marco Comuzzi
Business Process Event Log Anomaly Detection based on Statistical Leverage. ITBPM@BPM (2021)
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 (2020)
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) (2020)
Jonghyeon Ko, Jongyup Lee, Marco Comuzzi
AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs. ICPM Doctoral Consortium / Tools (2020)
Jonghyeon Ko, Marco Comuzzi
Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events. ICPM Workshops (2020)
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)
Hoang Thi Cam Nguyen, Suhwan Lee, Jongchan Kim, Jonghyeon Ko, Marco Comuzzi
Autoencoders for improving quality of process event logs. Expert Syst. Appl. 131 (2019)
Jonghyeon Ko, Marco Comuzzi
Fuzzy analytic network process for evaluating ERP post-implementation alternatives. FUZZ-IEEE (2017)