Hoang Anh Dau

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideEmail yang diverifikasi di cs.ucr.edu
Tony BagnallProfessor of Computer Science, University of SouthamptonEmail yang diverifikasi di uea.ac.uk
Yan ZhuPhD Candidate in Computer Science, University of California, RiversideEmail yang diverifikasi di ucr.edu
Chin-Chia Michael YehVisa ResearchEmail yang diverifikasi di visa.com
Nurjahan BegumUniversity of California, RiversideEmail yang diverifikasi di cs.ucr.edu
Abdullah MueenProfessor, Department of Computer Science, University of New MexicoEmail yang diverifikasi di cs.unm.edu
Diego Furtado SilvaAssistant Professor, University of São PauloEmail yang diverifikasi di usp.br
Liudmila UlanovaPhD in Computer Science, University of California, RiversideEmail yang diverifikasi di ucr.edu
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityEmail yang diverifikasi di chula.ac.th
Shaghayegh GharghabiDepartment of Electrical and Computer Engineering, University of California, RiversideEmail yang diverifikasi di ucr.edu
Germain ForestierFull Professor of Computer Science, Université de Haute AlsaceEmail yang diverifikasi di uha.fr
François PetitjeanAustralian GovernmentEmail yang diverifikasi di pm.me
Andy SongA/Prof of AI, School of Computing Technologies, CIAIRI, RMIT UniversityEmail yang diverifikasi di rmit.edu.au
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash UniversityEmail yang diverifikasi di monash.edu
Zachary ZimmermanGoogleEmail yang diverifikasi di google.com
Flora SalimProfessor, CSE, UNSWEmail yang diverifikasi di unsw.edu.au
Margaret HamiltonProfessor, School of Computing Technologies, RMIT UniversityEmail yang diverifikasi di rmit.edu.au

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Hoang Anh Dau

Machine Learning Research Engineer, Uber

Email yang diverifikasi di uber.com - Beranda

Data Mining Data Science Time Series Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	1110	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	890	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	589	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	318	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	225	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	177	2018
Anomaly detection using replicator neural networks trained on examples of one class HA Dau, V Ciesielski, A Song Asia-Pacific conference on simulated evolution and learning, 311-322, 2014	117	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	107	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	98	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	30	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	24	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	20	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	11	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	9	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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