Hoang Anh Dau
Hoang Anh Dau
Graduate Student Researcher, University of California, Riverside
Verified email at ucr.edu - Homepage
TitleCited byYear
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
1122016
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
442014
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
212016
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
202018
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
172017
The ucr time series classification archive
HA Dau, E Keogh, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
October, 2018
162018
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
152017
The UCR time series archive
HA Dau, A Bagnall, K Kamgar, CCM Yeh, Y Zhu, S Gharghabi, ...
arXiv preprint arXiv:1810.07758, 2018
142018
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 (4), 1074-1120, 2018
122018
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
122017
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
82014
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
72018
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
52018
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
52013
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
12016
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
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
2019
Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables.
E Laftchiev, X Sun, HA Dau, D Nikovski
DX@ Safeprocess, 2018
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
Asia-Pacific Conference on Simulated Evolution and Learning, 542-553, 2014
2014
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Articles 1–19