Hoang Anh Dau

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideGeverifieerd e-mailadres voor cs.ucr.edu
Yan ZhuPhD Candidate in Computer Science, University of California, RiversideGeverifieerd e-mailadres voor ucr.edu
Chin-Chia Michael YehVisa ResearchGeverifieerd e-mailadres voor visa.com
Nurjahan BegumUniversity of California, RiversideGeverifieerd e-mailadres voor cs.ucr.edu
Tony BagnallProfessor of Computer Science, University of East AngliaGeverifieerd e-mailadres voor uea.ac.uk
Diego Furtado SilvaAssistant Professor, University of São PauloGeverifieerd e-mailadres voor usp.br
Abdullah MueenAssociate Professor, Department of Computer Science, University of New MexicoGeverifieerd e-mailadres voor cs.unm.edu
Liudmila UlanovaPhD in Computer Science, University of California, RiversideGeverifieerd e-mailadres voor ucr.edu
Shaghayegh GharghabiDepartment of Electrical and Computer Engineering, University of California, RiversideGeverifieerd e-mailadres voor ucr.edu
Germain ForestierFull Professor of Computer Science, Université de Haute AlsaceGeverifieerd e-mailadres voor uha.fr
François PetitjeanAustralian GovernmentGeverifieerd e-mailadres voor pm.me
Andy SongA/Prof of AI, School of Computing Technologies, CIAIRI, RMIT UniversityGeverifieerd e-mailadres voor rmit.edu.au
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityGeverifieerd e-mailadres voor chula.ac.th
Geoff WebbProfessor of Information Technology Research, Monash UniversityGeverifieerd e-mailadres voor monash.edu
Zachary ZimmermanGoogleGeverifieerd e-mailadres voor google.com
Flora SalimProfessor, Cisco Chair of Digital Transport, Computer Science and Engineering, UNSWGeverifieerd e-mailadres voor unsw.edu.au

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Hoang Anh Dau

Machine Learning Research Engineer, Uber

Geverifieerd e-mailadres voor uber.com - Homepage

Data Mining Data Science Time Series Machine Learning


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
The UCR time series archive HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... IEEE/CAA Journal of Automatica Sinica 6 (6), 1293-1305, 2019	571	2019
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	553	2016
The UEA multivariate time series classification archive, 2018 A Bagnall, HA Dau, J Lines, M Flynn, J Large, A Bostrom, P Southam, ... arXiv preprint arXiv:1811.00075, 2018	211	2018
Generating synthetic time series to augment sparse datasets G Forestier, F Petitjean, HA Dau, GI Webb, E Keogh 2017 IEEE international conference on data mining (ICDM), 865-870, 2017	119	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, 83-123, 2018	111	2018
Anomaly detection using replicator neural networks trained on examples of one class HA Dau, V Ciesielski, A Song Simulated Evolution and Learning: 10th International Conference, SEAL 2014 …, 2014	97	2014
Optimizing dynamic time warping’s window width for time series data mining applications HA Dau, DF Silva, F Petitjean, G Forestier, A Bagnall, A Mueen, E Keogh Data mining and knowledge discovery 32, 1074-1120, 2018	69	2018
Matrix profile v: A generic technique to incorporate domain knowledge into motif discovery HA Dau, E Keogh Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	69	2017
Semi-supervision dramatically improves time series clustering under dynamic time warping HA Dau, N Begum, E Keogh Proceedings of the 25th ACM International on Conference on Information and …, 2016	44	2016
The ucr time series classification archive. 2018 HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ... URL: https://www. cs. ucr. edu/~ eamonn/time\] series\] data, 2018	41	2018
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series HA Dau, DF Silva, F Petitjean, G Forestier, A Bagnall, E Keogh 2017 IEEE international conference on big data (big data), 917-922, 2017	28	2017
Generalized dynamic time warping: Unleashing the warping power hidden in point-wise distances R Neamtu, R Ahsan, EA Rundensteiner, G Sarkozy, E Keogh, HA Dau, ... 2018 IEEE 34th International Conference on Data Engineering (ICDE), 521-532, 2018	19	2018
Online amnestic dtw to allow real-time golden batch monitoring CCM Yeh, Y Zhu, HA Dau, A Darvishzadeh, M Noskov, E Keogh Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	11	2019
Phone based fall detection by genetic programming HA Dau, FD Salim, A Song, L Hedin, M Hamilton Proceedings of the 13th International Conference on Mobile and Ubiquitous …, 2014	10	2014
Anomaly detection for insertion tasks in robotic assembly using Gaussian process models D Romeres, DK Jha, W Yerazunis, D Nikovski, HA Dau 2019 18th European Control Conference (ECC), 1017-1022, 2019	8	2019
Evolving PCB visual inspection programs using genetic programming F Xie, AH Dau, AL Uitdenbogerd, A Song 2013 28th International Conference on Image and Vision Computing New Zealand …, 2013	7	2013
A general framework for density based time series clustering exploiting a novel admissible pruning strategy N Begum, L Ulanova, HA Dau, J Wang, E Keogh arXiv preprint arXiv:1612.00637, 2016	6	2016
Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. E Laftchiev, X Sun, HA Dau, D Nikovski DX, 2018	2	2018
Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours HA Dau, A Song, F Xie, FD Salim, V Ciesielski Simulated Evolution and Learning: 10th International Conference, SEAL 2014 …, 2014		2014

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