Hoang Anh Dau - RankMe

17 papers A* 5A 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. Data Min. Knowl. Discov. Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth J. Funning, Abdullah Mueen, Eamonn J. Keogh
2019	—	`conf`	Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau
2019	A*	`conf`	Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. KDD Chin-Chia Michael Yeh, Yan Zhu, Hoang Anh Dau, Amirali Darvishzadeh, Mikhail Noskov, Eamonn J. Keogh
2019	J	`jnl`	The UCR time series archive. IEEE CAA J. Autom. Sinica Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
2019	—	`—`	Towards More Accurate Time Series Data Mining by Constraining Model's Flexibility. Hoang Anh Dau
2018	—	`conf`	Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. DX Emil Laftchiev, Xinmaio Sun, Hoang Anh Dau, Daniel Nikovski
2018	A*	`conf`	Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances. ICDE Rodica Neamtu, Ramoza Ahsan, Elke A. Rundensteiner, Gábor N. Sárközy, Eamonn J. Keogh, Hoang Anh Dau, Cuong Nguyen, Charles Lovering
2018	J	`jnl`	Optimizing dynamic time warping's window width for time series data mining applications. Data Min. Knowl. Discov. Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Abdullah Mueen, Eamonn J. Keogh
2018	J	`jnl`	The UCR Time Series Archive. CoRR Hoang Anh Dau, Anthony J. Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn J. Keogh
2018	J	`jnl`	The UEA multivariate time series classification archive, 2018. CoRR Anthony J. Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, Eamonn J. Keogh
2018	J	`jnl`	Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. Data Min. Knowl. Discov. Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Zachary Zimmerman, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
2017	A*	`conf`	Generating Synthetic Time Series to Augment Sparse Datasets. ICDM Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn J. Keogh
2017	—	`conf`	Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. IEEE BigData Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony J. Bagnall, Eamonn J. Keogh
2017	A*	`conf`	Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery. KDD Hoang Anh Dau, Eamonn J. Keogh
2016	J	`jnl`	A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy. CoRR Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau, Jun Wang, Eamonn J. Keogh
2016	A*	`conf`	Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. ICDM Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, Eamonn J. Keogh
2016	A	`conf`	Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping. CIKM Hoang Anh Dau, Nurjahan Begum, Eamonn J. Keogh