| The ucr time series classification archive Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista July, 2015 | 738 | 2015 |
| Dynamic time warping averaging of time series allows faster and more accurate classification F Petitjean, G Forestier, GI Webb, AE Nicholson, Y Chen, E Keogh 2014 IEEE international conference on data mining, 470-479, 2014 | 209 | 2014 |
| Time series classification under more realistic assumptions B Hu, Y Chen, E Keogh Proceedings of the 2013 SIAM International Conference on Data Mining, 578-586, 2013 | 134 | 2013 |
| Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm François Petitjean, Germain Forestier, Geoffrey I Webb, Ann E Nicholson ... Knowledge and Information Systems, 1-26, 2015 | 99* | 2015 |
| Flying Insect Classification with Inexpensive Sensors Y Chen, A Why, G Bastista, A Mafra-Neto, E Keogh Journal of Insect Behavior, 2014 | 99 | 2014 |
| The ucr time series classification archive HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... URL https://www. cs. ucr. edu/~ eamonn/time_series_data_2018, 2018 | 92 | 2018 |
| Discovery of Meaningful Rules in Time Series M Shokoohi-Yekta, Y Chen, B Campana, B Hu, J Zakaria, E Keogh Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 85 | 2015 |
| Dtw-d: time series semi-supervised learning from a single example Y Chen, B Hu, E Keogh, GE Batista Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 85 | 2013 |
| Classification of multi-dimensional streaming time series by weighting each classifier's track record B Hu, Y Chen, J Zakaria, L Ulanova, E Keogh 2013 IEEE 13th international conference on data mining, 281-290, 2013 | 41 | 2013 |
| A real-time motion detection algorithm for traffic monitoring systems based on consecutive temporal difference Z Yu, Y Chen 2009 7th Asian Control Conference, 1594-1599, 2009 | 34 | 2009 |
| Towards never-ending learning from time series streams Y Hao, Y Chen, J Zakaria, B Hu, T Rakthanmanon, E Keogh Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 29 | 2013 |
| Flying insect detection and classification with inexpensive sensors Y Chen, A Why, G Batista, A Mafra-Neto, E Keogh Journal of visualized experiments: JoVE, 2014 | 24 | 2014 |
| Classification of streaming time series under more realistic assumptions B Hu, Y Chen, E Keogh Data mining and knowledge discovery 30 (2), 403-437, 2016 | 18 | 2016 |
| Feature assembly method for extracting relations in Chinese Y Chen, Q Zheng, P Chen Artificial Intelligence 228, 179-194, 2015 | 16 | 2015 |
| A general framework for never-ending learning from time series streams Y Chen, Y Hao, T Rakthanmanon, J Zakaria, B Hu, E Keogh Data Mining and Knowledge Discovery, 2014 | 14 | 2014 |
| A boundary assembling method for Chinese entity-mention recognition Y Chen, Q Zheng, P Chen IEEE Intelligent Systems 30 (6), 50-58, 2015 | 11 | 2015 |
| A multi-channel deep neural network for relation extraction Y Chen, K Wang, W Yang, Y Qing, R Huang, P Chen IEEE Access 8, 13195-13203, 2020 | 10 | 2020 |
| Accelerating time series searching with large uniform scaling Y Shen, Y Chen, E Keogh, H Jin Proceedings of the 2018 SIAM International Conference on Data Mining, 234-242, 2018 | 9 | 2018 |
| A set space model for feature calculus Y Chen, Q Zheng, P Chen IEEE Intelligent Systems 32 (5), 36-42, 2017 | 5 | 2017 |
| Searching time series with invariance to large amounts of uniform scaling Y Shen, Y Chen, E Keogh, H Jin 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 111-114, 2017 | 5 | 2017 |
Eamonn KeoghProfessor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
