| Merlin: Parameter-free discovery of arbitrary length anomalies in massive time series archives T Nakamura, M Imamura, R Mercer, E Keogh 2020 IEEE international conference on data mining (ICDM), 1190-1195, 2020 | 78 | 2020 |
| Matrix profile xx: Finding and visualizing time series motifs of all lengths using the matrix profile F Madrid, S Imani, R Mercer, Z Zimmerman, N Shakibay, E Keogh 2019 IEEE International conference on big knowledge (ICBK), 175-182, 2019 | 54 | 2019 |
| Time series motifs discovery under DTW allows more robust discovery of conserved structure S Alaee, R Mercer, K Kamgar, E Keogh Data Mining and Knowledge Discovery 35, 863-910, 2021 | 41 | 2021 |
| Matrix profile xxiii: Contrast profile: A novel time series primitive that allows real world classification R Mercer, S Alaee, A Abdoli, S Singh, A Murillo, E Keogh 2021 IEEE International Conference on Data Mining (ICDM), 1240-1245, 2021 | 20 | 2021 |
| Matrix profile xxv: introducing novelets: a primitive that allows online detection of emerging behaviors in time series R Mercer, E Keogh 2022 IEEE international conference on data mining (ICDM), 338-347, 2022 | 9 | 2022 |
| MERLIN++: parameter-free discovery of time series anomalies T Nakamura, R Mercer, M Imamura, E Keogh Data Mining and Knowledge Discovery 37 (2), 670-709, 2023 | 6 | 2023 |
| Online multi-horizon transaction metric estimation with multi-modal learning in payment networks CCM Yeh, Z Zhuang, J Wang, Y Zheng, J Ebrahimi, R Mercer, L Wang, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 4 | 2021 |
| Multivariate Hierarchical Anomaly Detection S Ucar, R Mercer US Patent App. 17/328,333, 2022 | 2 | 2022 |
| Introducing the contrast profile: a novel time series primitive that allows real world classification R Mercer, S Alaee, A Abdoli, NS Senobari, S Singh, A Murillo, E Keogh Data Mining and Knowledge Discovery 36 (2), 877-915, 2022 | 2 | 2022 |
| Shape-based telemetry approach for distracted driving behavior detection R Mercer, S Ucar, E Keogh 2021 IEEE Conference on Standards for Communications and Networking (CSCN …, 2021 | 2 | 2021 |
| Novelets: a new primitive that allows online detection of emerging behaviors in time series R Mercer, E Keogh Knowledge and Information Systems 66 (1), 59-87, 2024 | 1 | 2024 |
| Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data M Shahcheraghi, R Mercer, JMDA Rodrigues, A Der, HFS Gamboa, ... 2022 IEEE International Conference on Data Mining (ICDM), 1179-1184, 2022 | 1 | 2022 |
| Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector S Tafazoli, Y Lu, R Wu, TVA Srinivas, HD Cruz, R Mercer, E Keogh 2023 IEEE International Conference on Data Mining (ICDM), 568-577, 2023 | | 2023 |
| Introducing Mplots: Scaling Time Series Recurrence Plots to Massive Datasets M Shahcheraghi, R Mercer, JM de Almeida Rodrigues, A Der, ... | | 2023 |
| Tailgating Behavior Detection On Rear Vehicles S Ucar, R Mercer, E Keogh 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Systems and methods for leveraging evasive maneuvers to classify anomalies S Ucar, R Mercer US Patent App. 17/476,144, 2023 | | 2023 |
| Two Novel Primitives Availing Contrast for Time Series Data RM Mercer University of California, Riverside, 2023 | | 2023 |
| Identifying an origin of abnormal driving behavior for improved vehicle operation S Ucar, R Mercer US Patent App. 17/235,607, 2022 | | 2022 |
| Intracranial Hypertension Detection using Machine Learning Classification of Non-invasive TCD Waveforms. F Scalzo, R Mercer, S Wilk, R Hamilton Military Health System Research Symposium, 2018 | | 2018 |
