Bing Hu
Bing Hu
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TitleCited byYear
The ucr time series classification archive
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
July, 2015
4502015
The UCR Time Series Classification/Clustering Homepage
E Keogh, Q Zhu, B Hu, H Y, X Xi, L Wei, CA Ratanamahatana
297*2011
Time Series Classification under More Realistic Assumptions
B Hu, Y Chen, E Keogh
SIAM Conference on Data Mining (SDM), 2013
1002013
The UCR time series classification archive (2015)
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
URL: www. cs. ucr. edu/~ eamonn/time_series_data, 2015
732015
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
672015
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
652013
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
592011
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
472017
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
342013
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
252012
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
212010
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
192013
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
172013
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
132015
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
122016
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
122015
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
122011
HY, X. Xi, L. Wei, and CA Ratanamahatana,“The ucr time series classification/clustering homepage,”
E Keogh, Q Zhu, B Hu
92011
Connect the dots by understanding user status and transitions
X Bao, Y Shen, NZ Gong, H Jin, B Hu
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
82014
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
82014
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