| Sentiment analysis of Chinese microblog based on stacked bidirectional LSTM J Zhou, Y Lu, HN Dai, H Wang, H Xiao IEEE Access 7, 38856-38866, 2019 | 117 | 2019 |
| 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 | 32 | 2022 |
| 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 | 8 | 2023 |
| Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths Y Lu, TVA Srinivas, T Nakamura, M Imamura, E Keogh 2023 IEEE International Conference on Data Mining (ICDM), 1199-1204, 2023 | 1 | 2023 |
| 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 | | 2023 |
| Sentiment analysis of Chinese microblog based on stacked bidirectional LSTM LU Yue, Z Junhao, HN DAI, W Hao, X Hong 15th International Symposium on Pervasive Systems, Algorithms and Networks …, 2019 | | 2019 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
