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Yuan Hao
Yuan Hao
Ph.D Candidate of Computer Science and Engineering, University of California, Riverside
Verified email at cs.ucr.edu
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The UCR time series classification/clustering homepage
E Keogh, X Zhu, Qiang, Hu, Bing, Hao, Yuan, Xi, L Wei, ...
2007-08-01]. http://www. cs. ucr. edu/-eamonn/time_series_data, 2011
318*2011
Discovering the intrinsic cardinality and dimensionality of time series using MDL
B Hu, T Rakthanmanon, Y Hao, S Evans, S Lonardi, E Keogh
Data Mining (ICDM), 2011 IEEE 11th International Conference on, 1086-1091, 2011
752011
Towards Automatic Classification on Flying Insects using Inexpensive Sensors
G Batista, Y Hao, E Keogh, A Mafra-Neto
Machine Learning and Applications and Workshops (ICMLA), 2011 10th …, 2011
602011
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
342013
Monitoring and mining animal sounds in visual space
Y Hao, B Campana, E Keogh
Journal of insect behavior 26 (4), 466-493, 2013
252013
A general framework for never-ending learning from time series streams
EK Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu
Data Mining and Knowledge Discovery, 2014
24*2014
Parameter-free audio motif discovery in large data archives
Y Hao, M Shokoohi-Yekta, G Papageorgiou, E Keogh
Data Mining (ICDM), 2013 IEEE 13th International Conference on, 261-270, 2013
232013
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
202015
Monitoring and Mining Insect Sounds in Visual Space
Y Hao, B Campana, E Keogh
SIAM International Conference on Data Mining, 792, 2012
92012
Towards discovering the intrinsic cardinality and dimensionality of time series using MDL
B Hu, T Rakthanmanon, Y Hao, S Evans, S Lonardi, E Keogh
Algorithmic Probability and Friends. Bayesian Prediction and Artificial …, 2013
42013
Generating Synthetic Data to Allow Learning from a Single Exemplar per Class
L Ulanova, Y Hao, E Keogh
International Conference on Similarity Search and Applications, 189-194, 2014
22014
Supervised and Unsupervised Discovery of Structures in Large Data Archives
Y Hao
12014
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