| The UCR Time Series Archive HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... arXiv preprint arXiv:1810.07758, 2018 | 998 | 2018 |
| Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ... 2016 IEEE 16th international conference on data mining (ICDM), 1317-1322, 2016 | 839 | 2016 |
| The UCR Time Series Classification Archive HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... https://www.cs.ucr.edu/~eamonn/time_series_data_2018/, 2018 | 505* | 2018 |
| Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ... 2016 IEEE 16th international conference on data mining (ICDM), 739-748, 2016 | 303 | 2016 |
| Matrix Profile VI: Meaningful Multidimensional Motif Discovery CCM Yeh, N Kavantzas, E Keogh Data Mining (ICDM), 2017 IEEE 17th International Conference on, 2017 | 182 | 2017 |
| Time Series Joins, Motifs, Discords and Shapelets: A Unifying View that Exploits the Matrix Profile CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ... Data Mining and Knowledge Discovery 32 (1), 83-123, 2018 | 169 | 2018 |
| Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds Y Zhu, CCM Yeh, Z Zimmerman, K Kamgar, E Keogh Data Mining (ICDM), 2018 IEEE 18th International Conference on, 2018 | 154 | 2018 |
| Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels S Gharghabi, Y Ding, CCM Yeh, K Kamgar, L Ulanova, E Keogh Data Mining (ICDM), 2017 IEEE 17th International Conference on, 2017 | 147 | 2017 |
| The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance A Mueen, Y Zhu, CCM Yeh, K Kamgar, K Viswanathan, C Gupta, E Keogh http://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html, 2017 | 137 | 2017 |
| Domain Agnostic Online Semantic Segmentation for Multi-dimensional Time Series S Gharghabi, CCM Yeh, Y Ding, W Ding, P Hibbing, S LaMunion, ... Data mining and knowledge discovery 33 (1), 96-130, 2019 | 84 | 2019 |
| A Systematic Evaluation of the Bag-of-frames Representation for Music Information Retrieval L Su, CCM Yeh, JY Liu, JC Wang, YH Yang IEEE Transactions on Multimedia 16 (5), 1188-1200, 2014 | 70 | 2014 |
| Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems H Chen, L Wang, Y Lin, CCM Yeh, F Wang, H Yang Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 65 | 2021 |
| SiMPle: Assessing Music Similarity Using Subsequences Joins. DF Silva, CCM Yeh, GE Batista, EJ Keogh ISMIR, 23-29, 2016 | 60 | 2016 |
| Denoising Self-attentive Sequential Recommendation H Chen, Y Lin, M Pan, L Wang, CCM Yeh, X Li, Y Zheng, F Wang, H Yang Proceedings of the 16th ACM Conference on Recommender Systems, 92-101, 2022 | 58 | 2022 |
| Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series CCM Yeh, H Van Herle, E Keogh 2016 IEEE 16th international conference on data mining (ICDM), 579-588, 2016 | 48 | 2016 |
| Super‐efficient Cross‐correlation (SEC‐C): A Fast Matched Filtering Code Suitable for Desktop Computers NS Senobari, GJ Funning, E Keogh, Y Zhu, CCM Yeh, Z Zimmerman, ... Seismological Research Letters 90 (1), 322-334, 2019 | 47 | 2019 |
| Exploiting a Novel Algorithm and GPUs to Break the Ten Quadrillion Pairwise Comparisons Barrier for Time Series Motifs and Joins Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ... Knowledge and Information Systems, 1-34, 2018 | 47 | 2018 |
| Supervised Dictionary Learning for Music Genre Classification CCM Yeh, YH Yang Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 1-8, 2012 | 46 | 2012 |
| Time Series Classification to Improve Poultry Welfare A Abdoli, AC Murillo, CCM Yeh, AC Gerry, EJ Keogh 2018 17TH IEEE International conference on machine learning and applications …, 2018 | 45 | 2018 |
| The Swiss Army Knife of Time Series Data Mining: Ten Useful Things You Can Do with the Matrix Profile and ten Lines of Code Y Zhu, S Gharghabi, DF Silva, HA Dau, CCM Yeh, N Shakibay Senobari, ... Data Mining and Knowledge Discovery 34 (4), 949-979, 2020 | 43 | 2020 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideE-mail confirmado em cs.ucr.edu
