| The ucr time series classification archive Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista July, 2015 | 699 | 2015 |
| The UCR Time Series Classification/Clustering Homepage E Keogh, Q Zhu, B Hu, H Y, X Xi, L Wei, CA Ratanamahatana | 313* | 2011 |
| Time Series Classification under More Realistic Assumptions B Hu, Y Chen, E Keogh SIAM Conference on Data Mining (SDM), 2013 | 121 | 2013 |
| Generalizing DTW to the multi-dimensional case requires an adaptive approach M Shokoohi-Yekta, B Hu, H Jin, J Wang, E Keogh Data mining and knowledge discovery 31 (1), 1-31, 2017 | 95 | 2017 |
| 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 | 83 | 2015 |
| DTW-D: Time Series Semi-Supervised Learning from a Single Example Y Chen, B Hu, E Keogh Knowledge Discovery and Data Mining (KDD), 2013, 2013 | 77 | 2013 |
| Discovering the Intrinsic Cardinality and Dimensionality of Time Series using MDL B Hu, T Rakthanmanon, Y Hao, E Scott, E Keogh International Conference on Data Mining (ICDM), 2011 | 70 | 2011 |
| Classification of Multi-Dimensional Streaming Time Series by Weighting each Classifier's Track Record B Hu, Y Chen, L Ulanova, E Keogh International Conference on Data Mining (ICDM), 2013, 2013 | 36 | 2013 |
| Multilevel-3D bit patterned magnetic media with 8 signal levels per nanocolumn N Amos, J Butler, B Lee, MH Shachar, B Hu, Y Tian, J Hong, D Garcia, ... PLoS One 7 (7), e40134, 2012 | 31 | 2012 |
| 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 | 24 | 2013 |
| Study of Co/Pd Multilayers as a Candidate Material for Next Generation Magnetic Media B Hu, N Amos, Y Tian, J Butler, D Litvinov, S Khizroev Journal of Applied Physics 109, 2010 | 24 | 2010 |
| Towards a minimum description length based stopping criterion for semi-supervised time series classification N Begum, B Hu, T Rakthanmanon, E Keogh 2013 IEEE 14th International Conference on Information Reuse & Integration …, 2013 | 21 | 2013 |
| Protecting your children from inappropriate content in mobile apps: An automatic maturity rating framework B Hu, B Liu, NZ Gong, D Kong, H Jin Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 19 | 2015 |
| 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 |
| Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series B Hu, T Rakthanmanon, Y Hao, S Evans, S Lonardi, E Keogh Data Mining and Knowledge Discovery 29 (2), 358-399, 2015 | 18 | 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 29 (6), 1622-1664, 2015 | 13 | 2015 |
| Image Mining of Historical Manuscripts to Establish Provenance B Hu, T Rakthanmanon, B Campana, A Mueen, E Keogh SIAM International Conference on Data Mining (SDM), 2011 | 12 | 2011 |
| HY, X. Xi, L. Wei, and CA Ratanamahatana,“The ucr time series classification/clustering homepage,” E Keogh, Q Zhu, B Hu | 11 | 2011 |
| System and method for fault detection in an electrical device DR Garvey, SC Evans, B Hu US Patent 9,394,899, 2016 | 10 | 2016 |
| Reconfigurable and non-volatile vertical magnetic logic gates J Butler, M Shachar, B Lee, D Garcia, B Hu, J Hong, N Amos, S Khizroev Journal of Applied Physics 115 (16), 163903, 2014 | 10 | 2014 |
Eamonn KeoghProfessor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
