Semi-Supervision Dramatically Improves Time Series Clustering under Dynamic Time Warping. - Hoang Anh Dau; Nurjahan Begum; Eamonn J. Keogh (CIKM, 2016)

Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets. - Chin-Chia Michael Yeh; Yan Zhu 014; Liudmila Ulanova; Nurjahan Begum; Yifei Ding; Hoang Anh Dau; Diego Furtado Silva; Abdullah Mueen; Eamonn J. Keogh (ICDM, 2016)

A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy. - Nurjahan Begum; Liudmila Ulanova; Hoang Anh Dau; Jun Wang 037; Eamonn J. Keogh (CoRR, 2016)

Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. - Hoang Anh Dau; Diego Furtado Silva; François Petitjean; Germain Forestier; Anthony J. Bagnall; Eamonn J. Keogh (IEEE BigData, 2017)

Generating Synthetic Time Series to Augment Sparse Datasets. - Germain Forestier; François Petitjean; Hoang Anh Dau; Geoffrey I. Webb; Eamonn J. Keogh (ICDM, 2017)

Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery. - Hoang Anh Dau; Eamonn J. Keogh (KDD, 2017)

Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances. - Rodica Neamtu; Ramoza Ahsan; Elke A. Rundensteiner; Gábor N. Sárközy; Eamonn J. Keogh; Hoang Anh Dau; Cuong Nguyen; Charles Lovering (ICDE, 2018)

Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. - Emil Laftchiev; Xinmaio Sun; Hoang Anh Dau; Daniel Nikovski (DX, 2018)

The UEA multivariate time series classification archive, 2018. - Anthony J. Bagnall; Hoang Anh Dau; Jason Lines; Michael Flynn; James Large; Aaron Bostrom; Paul Southam; Eamonn J. Keogh (CoRR, 2018)

Optimizing dynamic time warping's window width for time series data mining applications. - Hoang Anh Dau; Diego Furtado Silva; François Petitjean; Germain Forestier; Anthony J. Bagnall; Abdullah Mueen; Eamonn J. Keogh (Data Min. Knowl. Discov., 2018)

Time series joins, motifs, discords and shapelets: a unifying view that exploits the matrix profile. - Chin-Chia Michael Yeh; Yan Zhu 014; Liudmila Ulanova; Nurjahan Begum; Yifei Ding; Hoang Anh Dau; Zachary Zimmerman; Diego Furtado Silva; Abdullah Mueen; Eamonn J. Keogh (Data Min. Knowl. Discov., 2018)

Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. - Diego Romeres; Devesh K. Jha; William Yerazunis; Daniel Nikovski; Hoang Anh Dau (ECC, 2019)

Online Amnestic DTW to allow Real-Time Golden Batch Monitoring. - Chin-Chia Michael Yeh; Yan Zhu 014; Hoang Anh Dau; Amirali Darvishzadeh; Mikhail Noskov; Eamonn J. Keogh (KDD, 2019)

The UCR time series archive. - Hoang Anh Dau; Anthony J. Bagnall; Kaveh Kamgar; Chin-Chia Michael Yeh; Yan Zhu 014; Shaghayegh Gharghabi; Chotirat Ann Ratanamahatana; Eamonn J. Keogh (IEEE CAA J. Autom. Sinica, 2019)

Towards More Accurate Time Series Data Mining by Constraining Model's Flexibility. - Hoang Anh Dau (2019)

The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code. - Yan Zhu 014; 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 (Data Min. Knowl. Discov., 2020)