Ryan Mercer

According to our database, Ryan Mercer authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Novelets: a new primitive that allows online detection of emerging behaviors in time series.

Ryan Mercer, Eamonn J. Keogh

Knowl. Inf. Syst., January, 2024

2023

MERLIN++: parameter-free discovery of time series anomalies.

Takaaki Nakamura, Ryan Mercer, Makoto Imamura, Eamonn J. Keogh

Data Min. Knowl. Discov., March, 2023

Tailgating Behavior Detection On Rear Vehicles.

Seyhan Ucar, Ryan Mercer, Eamonn J. Keogh

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Matrix Profile XXIX: C²²MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector.

Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2023

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, Amy C. Murillo, Eamonn J. Keogh

Data Min. Knowl. Discov., 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

Proceedings of the IEEE International Conference on Data Mining, 2022

Matrix Profile XXV: Introducing Novelets: A Primitive that Allows Online Detection of Emerging Behaviors in Time Series.

Ryan Mercer, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2022

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 XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification.

Ryan Mercer, Sara Alaee, Alireza Abdoli, Shailendra Singh, Amy C. Murillo, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2021

Shape-Based Telemetry Approach for Distracted Driving Behavior Detection.

Ryan Mercer, Seyhan Ucar, Eamonn J. Keogh

Proceedings of the 2021 IEEE Conference on Standards for Communications and Networking, 2021

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks.

Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives.

Takaaki Nakamura, Makoto Imamura, Ryan Mercer, Eamonn J. Keogh

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

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

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019