Hoang Anh Dau

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideDirección de correo verificada de cs.ucr.edu
Tony BagnallProfessor of Computer Science, University of SouthamptonDirección de correo verificada de uea.ac.uk
Yan ZhuPhD Candidate in Computer Science, University of California, RiversideDirección de correo verificada de ucr.edu
Chin-Chia Michael YehVisa ResearchDirección de correo verificada de visa.com
Nurjahan BegumUniversity of California, RiversideDirección de correo verificada de cs.ucr.edu
Abdullah MueenProfessor, Department of Computer Science, University of New MexicoDirección de correo verificada de cs.unm.edu
Diego Furtado SilvaAssistant Professor, University of São PauloDirección de correo verificada de usp.br
Liudmila UlanovaPhD in Computer Science, University of California, RiversideDirección de correo verificada de ucr.edu
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityDirección de correo verificada de chula.ac.th
Shaghayegh GharghabiDepartment of Electrical and Computer Engineering, University of California, RiversideDirección de correo verificada de ucr.edu
Germain ForestierFull Professor of Computer Science, Université de Haute AlsaceDirección de correo verificada de uha.fr
François PetitjeanAustralian GovernmentDirección de correo verificada de pm.me
Andy SongA/Prof of AI, School of Computing Technologies, CIAIRI, RMIT UniversityDirección de correo verificada de rmit.edu.au
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash UniversityDirección de correo verificada de monash.edu
Zachary ZimmermanGoogleDirección de correo verificada de google.com
Flora SalimProfessor, Cisco Chair of AI & Digital Transport, Computer Science and Engineering, UNSWDirección de correo verificada de unsw.edu.au
Margaret HamiltonProfessor, School of Computing Technologies, RMIT UniversityDirección de correo verificada de rmit.edu.au

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Hoang Anh Dau

Machine Learning Research Engineer, Uber

Dirección de correo verificada de uber.com - Página principal

Data Mining Data Science Time Series Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	990	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	840	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	512	2018
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	291	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	209	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	169	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	111	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	98	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	91	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	55	2016
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	32	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	27	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	23	2019
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	18	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
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	8	2016
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
Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. E Laftchiev, X Sun, HA Dau, D Nikovski DX, 2018	3	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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