Matrix Profile XX: Finding and Visualizing Time Series Motifs of All Lengths using the Matrix Profile. - Frank Madrid; Shima Imani; Ryan Mercer; Zachary Zimmerman; Nader Shakibay Senobari; Eamonn J. Keogh (ICBK, 2019)

MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives. - Takaaki Nakamura; Makoto Imamura; Ryan Mercer; Eamonn J. Keogh (ICDM, 2020)

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. - Chin-Chia Michael Yeh; Zhongfang Zhuang; Junpeng Wang 001; Yan Zheng 001; Javid Ebrahimi; Ryan Mercer; Liang Wang 047; Wei Zhang 189 (CIKM, 2021)

Shape-Based Telemetry Approach for Distracted Driving Behavior Detection. - Ryan Mercer; Seyhan Ucar; Eamonn J. Keogh (CSCN, 2021)

Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification. - Ryan Mercer; Sara Alaee; Alireza Abdoli; Shailendra Singh 004; Amy C. Murillo; Eamonn J. Keogh (ICDM, 2021)

Time series motifs discovery under DTW allows more robust discovery of conserved structure. - Sara Alaee; Ryan Mercer; Kaveh Kamgar; Eamonn J. Keogh (Data Min. Knowl. Discov., 2021)

Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time Series. - Ryan Mercer; Eamonn J. Keogh (ICDM, 2022)

Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data. - Maryam Shahcheraghi; Ryan Mercer; João Manuel De Almeida Rodrigues; Audrey Der; Hugo Filipe Silveira Gamboa; Zachary Zimmerman; Eamonn J. Keogh (ICDM, 2022)

Introducing the contrast profile: a novel time series primitive that allows real world classification. - Ryan Mercer; Sara Alaee; Alireza Abdoli; Nader Shakibay Senobari; Shailendra Singh 004; Amy C. Murillo; Eamonn J. Keogh (Data Min. Knowl. Discov., 2022)

Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector. - Sadaf Tafazoli; Yue Lu 003; Renjie Wu 001; Thirumalai Vinjamoor Akhil Srinivas; Hannah Dela Cruz; Ryan Mercer; Eamonn J. Keogh (ICDM, 2023)

Tailgating Behavior Detection On Rear Vehicles. - Seyhan Ucar; Ryan Mercer; Eamonn J. Keogh (ITSC, 2023)

Two Novel Primitives Availing Contrast for Time Series Data - Ryan Mercer (2023)

MERLIN++: parameter-free discovery of time series anomalies. - Takaaki Nakamura; Ryan Mercer; Makoto Imamura; Eamonn J. Keogh (Data Min. Knowl. Discov., 2023)

Novelets: a new primitive that allows online detection of emerging behaviors in time series. - Ryan Mercer; Eamonn J. Keogh (Knowl. Inf. Syst., 2024)

C22MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector. - Sadaf Tafazoli; Yue Lu 003; Renjie Wu 001; Thirumalai Vinjamoor Akhil Srinivas; Hannah Dela Cruz; Ryan Mercer; Eamonn J. Keogh (Knowl. Inf. Syst., 2024)

Introducing Mplots: scaling time series recurrence plots to massive datasets. - Maryam Shahcheraghi; Ryan Mercer; João Manuel De Almeida Rodrigues; Audrey Der; Hugo Filipe Silveira Gamboa; Zachary Zimmerman; Kerry Mauck; Eamonn J. Keogh (J. Big Data, 2024)