| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress R Wu, E Keogh IEEE Transactions on Knowledge and Data Engineering 35 (3), 2421-2429, 2021 | 270 | 2021 |
| FastDTW is approximate and Generally Slower than the Algorithm it Approximates R Wu, EJ Keogh IEEE Transactions on Knowledge and Data Engineering 34 (8), 3779-3785, 2020 | 57 | 2020 |
| Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams Y Lu, R Wu, A Mueen, MA Zuluaga, E Keogh Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 50 | 2022 |
| When is Early Classification of Time Series Meaningful? R Wu, A Der, E Keogh IEEE Transactions on Knowledge and Data Engineering 35 (3), 3253-3260, 2021 | 19 | 2021 |
| DAMP: Accurate Time Series Anomaly Detection on Trillions of Datapoints and Ultra-fast Arriving Data Streams Y Lu, R Wu, A Mueen, MA Zuluaga, E Keogh Data Mining and Knowledge Discovery 37 (2), 627-669, 2023 | 15 | 2023 |
| Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series A Der, CCM Yeh, R Wu, J Wang, Y Zheng, Z Zhuang, L Wang, W Zhang, ... 2022 IEEE International Conference on Knowledge Graph (ICKG), 40-47, 2022 | 4 | 2022 |
| Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector S Tafazoli, Y Lu, R Wu, TVA Srinivas, HD Cruz, R Mercer, E Keogh 2023 IEEE International Conference on Data Mining (ICDM), 568-577, 2023 | 3 | 2023 |
| C22MP: The Marriage of Catch22 and the Matrix Profile creates a Fast, Efficient and Interpretable Anomaly Detector S Tafazoli, Y Lu, R Wu, TVA Srinivas, H Dela Cruz, R Mercer, E Keogh Knowledge and Information Systems 66 (8), 4789-4823, 2024 | 1 | 2024 |
| Problems with Problems in Data Mining R Wu University of California, Riverside, 2024 | | 2024 |
| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract) R Wu, E Keogh 2022 IEEE International Conference on Data Engineering (ICDE), 1479-1480, 2022 | | 2022 |
| When is Early Classification of Time Series Meaningful? (Extended Abstract) R Wu, A Der, E Keogh 2022 IEEE International Conference on Data Engineering (ICDE), 1477-1478, 2022 | | 2022 |
| FastDTW is approximate and Generally Slower than the Algorithm it Approximates (Extended Abstract) R Wu, E Keogh 2021 IEEE International Conference on Data Engineering (ICDE), 2327-2328, 2021 | | 2021 |
| Towards digital quantification of Argentine ants S Singh, A Bagby, R Wu, KA Schall, M Lewis, E Keogh, M Hoddle 2019 Pacific Branch Meeting, 2019 | | 2019 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideE-mail confirmado em cs.ucr.edu