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Hoang Anh Dau
Hoang Anh Dau
Machine Learning Research Engineer, Uber
Bestätigte E-Mail-Adresse bei uber.com - Startseite
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Zitiert von
Zitiert von
Jahr
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
8392019
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
7652016
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
3982018
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
2682018
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
1912017
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
1542018
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
1122014
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
912018
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
862017
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
522016
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
322017
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
282018
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
192019
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
172019
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
102014
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
82016
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
72013
Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables.
E Laftchiev, X Sun, HA Dau, D Nikovski
DX, 2018
32018
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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