2024
|
1. |
Lee, Ming-Chang; Lin, Jia-Chun. Evaluation of k-means time series clustering based on z-normalization and NP-Free. SciTePress 2024 (ISBN 978-989-758-626-2) 9 s. NTNU HVL
Untitled
|
2023
|
2. |
Khatiwada, Pankaj; Fauzi, Muhammad Ali; Yang, Bian; Lin, Jia-Chun; Yeng, Prosper Kandabongee; Sun, Luyi. Threats and Risk on Using Digital Technologies for Remote Health Care Process. Association for Computing Machinery (ACM) 2023 (ISBN 9798400708503) UIA NTNU
Untitled
|
|
3. |
Lee, Ming-Chang; Lin, Jia-Chun. Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. I: Proceedings of the 18th International Conference on Software Technologies. SciTePress 2023 ISBN 978-989-758-665-1. s. 106-116 NTNU HVL
Untitled
|
|
4. |
Lee, Ming-Chang; Lin, Jia-Chun. RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. I: Proceedings of the 8th International Conference on Internet of Things, Big Data and Security. SciTePress 2023 ISBN 978-989-758-643-9. NTNU HVL
Untitled
|
|
5. |
Lee, Ming-Chang; Lin, Jia-Chun. RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. I: Proceedings of the 18th International Conference on Software Technologies. SciTePress 2023 ISBN 978-989-758-665-1. s. 313-322 NTNU HVL
Untitled
|
|
6. |
Lee, Ming-Chang; Lin, Jia-Chun; Stolz, Volker. NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. I: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2023 ISBN 979-8-3503-2697-0. s. 334-339 NTNU HVL
Untitled
|
|
7. |
Toor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang. An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. Frontiers of Information Technology (FIT); 2023-12-11 - 2023-12-12 NTNU HVL
Untitled
|
2022
|
8. |
Zoto, Erjon; Lin, Jia-Chun. Towards Enhancing Student Learning Through Improving Teaching Activities in an Interdisciplinary Context – Lessons learned and the way forward. Interdisciplinary teamwork skills for the 21st century (Its21); 2022-06-16 - 2022-06-17 NTNU
Untitled
|
2021
|
9. |
Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. Transportation Research Record 2021 ;Volum 2675.(10) s. 211-227 NTNU
Untitled
|
|
10. |
Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?. I: Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1. Springer 2021 ISBN 978-3-030-75099-2. s. 136-148 NTNU
Untitled
|
|
11. |
Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. I: Proceedings of 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2021 ISBN 9781665424639. s. 344-349 NTNU
Untitled
|
2020
|
12. |
Lee, Ming-Chang; Lin, Jia-Chun. DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. The 34th International Conference on Advanced Information Networking and Applications (AINA 2020); 2020-04-15 - 2020-04-17 NTNU
Untitled
|
|
13. |
Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. The 26th International European Conference on Parallel and Distributed Computing (EURO-PAR 2020); 2020-08-24 - 2020-08-28 NTNU
Untitled
|
|
14. |
Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. RePAD: Real-Time Proactive Anomaly Detection for Time Series. I: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020). Springer 2020 ISBN 978-3-030-44041-1. s. 1291-1302 NTNU
Untitled
|
|
15. |
Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. I: Euro-Par 2020: Euro-Par 2020: Parallel Processing. Springer 2020 ISBN 978-3-030-57675-2. s. 234-247 NTNU
Untitled
|
|
16. |
Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar. ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series. I: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2020 ISBN 978-1-7281-7303-0. s. 322-327 NTNU
Untitled
|
|
17. |
Lee, Ming-Chang; Lin, Jia-Chun. DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. I: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020). Springer 2020 ISBN 978-3-030-44041-1. s. 164-175 NTNU
Untitled
|
|
18. |
Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch. A Configurable and Executable Model of Spark Streaming on Apache YARN. International Journal of Grid and Utility Computing (IJGUC) 2020 ;Volum 11.(2) s. 185-195 UiO NTNU
Untitled
|
|
19. |
Owe, Olaf; Fazeldehkordi, Elahe; Lin, Jia-Chun. A Framework for Flexible Program Evolution and Verification of Distributed Systems. Communications in Computer and Information Science (CCIS) 2020 ;Volum 1161 CCIS. s. 320-349 NTNU UiO
Untitled
|
2019
|
20. |
Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. PDS: Deduce elder privacy from smart homes. Internet of Things: Engineering Cyber Physical Human Systems 2019 ;Volum 7. s. - UiO NTNU
Untitled
|
|
21. |
Owe, Olaf; Lin, Jia-Chun; Fazeldehkordi, Elahe. A Flexible Framework for Program Evolution and Verification. I: Modelsward 2019. SciTePress 2019 ISBN 978-989-758-358-2. s. 179-191 UiO
Untitled
|
2018
|
22. |
Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. Advanced Information Networking and Applications 2018 ;Volum 2018-May. s. 996-1002 UiO
Untitled
|
|
23. |
Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf. Privacy Mining from IoT-based Smart Homes (Online version). Lecture Notes on Data Engineering and Communications Technologies 2018 s. 304-315 UiO
Untitled
|
|
24. |
Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch. Modeling and simulation of spark streaming. Advanced Information Networking and Applications 2018 ;Volum 2018-May. s. 407-413 UiO
Untitled
|
2017
|
25. |
Lin, Jia-Chun; Mauro, Jacopo; Røst, Thomas Brox; Yu, Ingrid Chieh. A model-Based Scalability Optimization Methodology for Cloud Applications. Proceedings of the IEEE 2017 s. 163-170 UiO
Untitled
|
2016
|
26. |
Johnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh. AWS deployments using model-based predictions. the 7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2016); 2016-10-05 - 2016-10-14 UiO
Untitled
|
|
27. |
Johnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh. Comparing AWS Deployments Using Model-Based Predictions. Lecture Notes in Computer Science (LNCS) 2016 ;Volum 9953. s. 482-496 UiO
Untitled
|
|
28. |
Lee, Ming-Chang; Lin, Jia-Chun; Yahyapour, Ramin. Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. IEEE Transactions on Parallel and Distributed Systems 2016 ;Volum 27.(6) s. 1687-1699 UiO
Untitled
|
|
29. |
Lin, Jia-Chun; Lee, Ming-Chang. Performance evaluation of job schedulers on Hadoop YARN. Concurrency and Computation 2016 ;Volum 28.(9) s. 2711-2728 UiO
Untitled
|
|
30. |
Lin, Jia-Chun; Leu, Fang-Yie; Chen, Ying-Ping. Impacts of Task Re-Execution Policy on MapReduce Jobs. Computer journal 2016 ;Volum 59.(5) s. 701-714 UiO
Untitled
|
|
31. |
Lin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang. ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. 19th International Conference on Fundamental Approaches to Software Engineering; 2016-04-02 - 2016-04-08 UiO
Untitled
|
|
32. |
Lin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang. ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. I: Fundamental Approaches to Software Engineering: 19th International Conference, FASE 2016, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016, Eindhoven, The Netherlands, April 2-8, 2016, Proceedings. Springer 2016 ISBN 3662496658. s. 49-65 UiO
Untitled
|
2015
|
33. |
Owe, Olaf; Lin, Jia-Chun; Yu, Ingrid Chieh. A Formal Framework Supporting Unrestricted Software Changes in Object-Oriented Concurrent Systems. 27th Nordic Workshop on Programming Theory (NWPT 2015); 2015-10-21 - 2015-10-23 UiO
Untitled
|