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Yanping Chen
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The UCR time series classification archive
Y Chen, E Keogh, B Hu, N Begum, A Bagnall, A Mueen, G Batista
July, 2015
10112015
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
2982014
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
2622018
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
1732013
Flying Insect Classification with Inexpensive Sensors
Y Chen, A Why, G Bastista, A Mafra-Neto, E Keogh
Journal of Insect Behavior, 2014
1572014
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
1482013
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
141*2015
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
1122015
Flying insect detection and classification with inexpensive sensors
Y Chen, A Why, G Batista, A Mafra-Neto, E Keogh
JoVE (Journal of Visualized Experiments), e52111, 2014
552014
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
482013
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
422013
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
412014
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
382009
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
362016
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
322020
Recognizing nested named entity based on the neural network boundary assembling model
Y Chen, Y Wu, Y Qin, Y Hu, Z Wang, R Huang, X Cheng, P Chen
IEEE Intelligent Systems 35 (1), 74-81, 2019
232019
Feature assembly method for extracting relations in Chinese
Y Chen, Q Zheng, P Chen
Artificial Intelligence 228, 179-194, 2015
232015
A boundary assembling method for Chinese entity-mention recognition
Y Chen, Q Zheng, P Chen
IEEE Intelligent Systems 30 (6), 50-58, 2015
232015
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
222018
A neuralized feature engineering method for entity relation extraction
Y Chen, W Yang, K Wang, Y Qin, R Huang, Q Zheng
Neural Networks 141, 249-260, 2021
202021
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