Yanping Chen

According to our database, Yanping Chen authored at least 14 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Rare Sound Event Detection Using Deep Learning and Data Augmentation.

Yanping Chen, Hongxia Jin

Proceedings of the Interspeech 2019, 2019

2018

Accelerating Time Series Searching with Large Uniform Scaling.

Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017

Searching Time Series with Invariance to Large Amounts of Uniform Scaling.

Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

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, Yanping Chen, Eamonn J. Keogh

Knowl. Inf. Syst., 2016

Classification of streaming time series under more realistic assumptions.

Bing Hu, Yanping Chen, Eamonn J. Keogh

Data Min. Knowl. Discov., 2016

2015

Mining Time Series Data: Flying Insect Classification and Detection.

Yanping Chen

PhD thesis, 2015

A general framework for never-ending learning from time series streams.

Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu, Eamonn J. Keogh

Data Min. Knowl. Discov., 2015

Discovery of Meaningful Rules in Time Series.

Mohammad Shokoohi-Yekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Flying Insect Classification with Inexpensive Sensors.

Yanping Chen, Adena Why, Gustavo E. A. P. A. Batista, Agenor Mafra-Neto, Eamonn J. Keogh

CoRR, 2014

Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification.

François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn J. Keogh

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Time Series Classification under More Realistic Assumptions.

Bing Hu, Yanping Chen, Eamonn J. Keogh

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Towards never-ending learning from time series streams.

Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

DTW-D: time series semi-supervised learning from a single example.

Yanping Chen, Bing Hu, Eamonn J. Keogh, Gustavo E. A. P. A. Batista

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record.

Bing Hu, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, Eamonn J. Keogh

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013