Chin-Chia Michael Yeh

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
Yan ZhuPhD Candidate in Computer Science, University of California, RiversideVerified email at ucr.edu
Abdullah MueenAssociate Professor, Department of Computer Science, University of New MexicoVerified email at cs.unm.edu
Shaghayegh GharghabiDepartment of Electrical and Computer Engineering, University of California, RiversideVerified email at ucr.edu
Hoang Anh DauMachine Learning Research Engineer, UberVerified email at uber.com
Diego Furtado SilvaAssistant Professor, University of São PauloVerified email at usp.br
Zachary ZimmermanGoogleVerified email at google.com
Yi-Hsuan YangNational Taiwan UniversityVerified email at ntu.edu.tw
Nurjahan BegumUniversity of California, RiversideVerified email at cs.ucr.edu
Yan ZhengVisa ResearchVerified email at cs.utah.edu
Liudmila UlanovaPhD in Computer Science, University of California, RiversideVerified email at ucr.edu
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityVerified email at chula.ac.th
Gareth FunningProfessor, University of California, RiversideVerified email at ucr.edu
Nader Shakibay SenobariAssistant Project Scientist, UC Riverside, Computer Science DepartmentVerified email at ucr.edu
Zhongfang ZhuangVisa ResearchVerified email at visa.com
Liang WangVisa ResearchVerified email at visa.com
Tony BagnallProfessor of Computer Science, University of East AngliaVerified email at uea.ac.uk
Gustavo Enrique de Almeida Prado Al...Associate Professor, School of Computer Science and Engineering, University of New South WalesVerified email at cse.unsw.edu.au
Huiyuan ChenVisa Research; Case Western Reserve UniversityVerified email at case.edu
Philip BriskUniversity of California, RiversideVerified email at cs.ucr.edu

Chin-Chia Michael Yeh

Visa Research

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Data Mining Time Series Machine learning


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The UCR Time Series Archive HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... arXiv preprint arXiv:1810.07758, 2018	580	2018
Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View that Includes Motifs, Discords and Shapelets CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, DF Silva, ... 2016 IEEE 16th international conference on data mining (ICDM), 1317-1322, 2016	558	2016
Matrix Profile II: Exploiting a Novel Algorithm and GPUs to Break the One Hundred Million Barrier for Time Series Motifs and Joins Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ... 2016 IEEE 16th international conference on data mining (ICDM), 739-748, 2016	213	2016
The UCR Time Series Classification Archive HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... https://www.cs.ucr.edu/~eamonn/time_series_data_2018/, 2018	185*	2018
Matrix Profile VI: Meaningful Multidimensional Motif Discovery CCM Yeh, N Kavantzas, E Keogh Data Mining (ICDM), 2017 IEEE 17th International Conference on, 2017	117	2017
Time Series Joins, Motifs, Discords and Shapelets: A Unifying View that Exploits the Matrix Profile CCM Yeh, Y Zhu, L Ulanova, N Begum, Y Ding, HA Dau, Z Zimmerman, ... Data Mining and Knowledge Discovery 32 (1), 83-123, 2018	112	2018
The Fastest Similarity Search Algorithm for Time Series Subsequences under Euclidean Distance A Mueen, Y Zhu, CCM Yeh, K Kamgar, K Viswanathan, C Gupta, E Keogh http://www.cs.unm.edu/~mueen/FastestSimilaritySearch.html, 2017	106	2017
Matrix Profile XI: SCRIMP++: Time Series Motif Discovery at Interactive Speeds Y Zhu, CCM Yeh, Z Zimmerman, K Kamgar, E Keogh Data Mining (ICDM), 2018 IEEE 18th International Conference on, 2018	103	2018
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels S Gharghabi, Y Ding, CCM Yeh, K Kamgar, L Ulanova, E Keogh Data Mining (ICDM), 2017 IEEE 17th International Conference on, 2017	92	2017
A Systematic Evaluation of the Bag-of-frames Representation for Music Information Retrieval L Su, CCM Yeh, JY Liu, JC Wang, YH Yang IEEE Transactions on Multimedia 16 (5), 1188-1200, 2014	67	2014
SiMPle: Assessing Music Similarity Using Subsequences Joins. DF Silva, CCM Yeh, GE Batista, EJ Keogh ISMIR, 23-29, 2016	53	2016
Supervised Dictionary Learning for Music Genre Classification CCM Yeh, YH Yang Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 1-8, 2012	47	2012
Domain Agnostic Online Semantic Segmentation for Multi-dimensional Time Series S Gharghabi, CCM Yeh, Y Ding, W Ding, P Hibbing, S LaMunion, ... Data mining and knowledge discovery 33 (1), 96-130, 2019	45	2019
Exploiting a Novel Algorithm and GPUs to Break the Ten Quadrillion Pairwise Comparisons Barrier for Time Series Motifs and Joins Y Zhu, Z Zimmerman, NS Senobari, CCM Yeh, G Funning, A Mueen, ... Knowledge and Information Systems, 1-34, 2018	37	2018
Matrix Profile III: The Matrix Profile Allows Visualization of Salient Subsequences in Massive Time Series CCM Yeh, H Van Herle, E Keogh 2016 IEEE 16th international conference on data mining (ICDM), 579-588, 2016	35	2016
Super‐efficient Cross‐correlation (SEC‐C): A Fast Matched Filtering Code Suitable for Desktop Computers NS Senobari, GJ Funning, E Keogh, Y Zhu, CCM Yeh, Z Zimmerman, ... Seismological Research Letters 90 (1), 322-334, 2019	34	2019
Time Series Classification to Improve Poultry Welfare A Abdoli, AC Murillo, CCM Yeh, AC Gerry, EJ Keogh 2018 17TH IEEE International conference on machine learning and applications …, 2018	33	2018
Dual-layer Bag-of-frames Model for Music Genre Classification CCM Yeh, L Su, YH Yang 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	29	2013
Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes CCM Yeh, N Kavantzas, E Keogh Proceedings of the VLDB Endowment 10 (12), 2017	26	2017
Fast Similarity Matrix Profile for Music Analysis and Exploration DF Silva, CCM Yeh, Y Zhu, GE Batista, E Keogh IEEE Transactions on Multimedia 14 (8), 1, 2015	24	2015

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