| The UCR Time Series Classification/Clustering Homepage E Keogh, Q Zhu, B Hu, H Y, X Xi, L Wei, CA Ratanamahatana | 1343* | 2011 |
| 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, 1-31, 2017 | 349 | 2017 |
| 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 | 180 | 2013 |
| 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 | 170 | 2013 |
| 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 | 111 | 2015 |
| 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 | 76 | 2011 |
| 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, 1622-1664, 2015 | 54 | 2015 |
| 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 | 49 | 2013 |
| 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 | 43 | 2013 |
| 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 | 40 | 2016 |
| 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 | 39 | 2015 |
| 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 | 38 | 2012 |
| 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 | 30 | 2013 |
| 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, 358-399, 2015 | 29 | 2015 |
| 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 | 27 | 2010 |
| System and method for fault detection in an electrical device DR Garvey, SC Evans, B Hu US Patent 9,394,899, 2016 | 19 | 2016 |
| Pinplace: associate semantic meanings with indoor locations without active fingerprinting X Bao, B Liu, B Tang, B Hu, D Kong, H Jin Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 15 | 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 | 15 | 2011 |
| 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), 2014 | 13 | 2014 |
| HY, X. Xi, L. Wei, and CA Ratanamahatana,“The ucr time series classification/clustering homepage,” E Keogh, Q Zhu, B Hu | 13 | 2011 |
Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideEmail yang diverifikasi di cs.ucr.edu