Scott E. Crouter

According to our database, Scott E. Crouter authored at least 11 papers between 2014 and 2022.

Collaborative distances:

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

2022

SummerTime: Variable-length Time Series Summarization with Application to Physical Activity Analysis.

Kevin Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen

ACM Trans. Comput. Heal., 2022

Maximizing Fairness in Deep Neural Networks via Mode Connectivity.

Olga Andreeva, Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen

IEEE Intell. Syst., 2022

2021

Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance.

Matthew Almeida, Yong Zhuang, Wei Ding, Scott E. Crouter, Ping Chen

ACM Trans. Knowl. Discov. Data, 2021

2020

Introducing time series snippets: a new primitive for summarizing long time series.

Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2020

Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance.

Matthew Almeida, Wei Ding, Scott E. Crouter, Ping Chen

CoRR, 2020

SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis.

Kevin Michael Amaral, Zihan Li, Wei Ding, Scott E. Crouter, Ping Chen

CoRR, 2020

2019

Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series.

Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2019

Domain agnostic online semantic segmentation for multi-dimensional time series.

Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn J. Keogh

Data Min. Knowl. Discov., 2019

2018

Matrix Profile XIII: Time Series Snippets: A New Primitive for Time Series Data Mining.

Shima Imani, Frank Madrid, Wei Ding, Scott E. Crouter, Eamonn J. Keogh

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2016

Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning.

Xiang Ren, Wei Ding, Scott E. Crouter, Yang Mu, Rong Xie

Appl. Intell., 2016

2014

Bipart: Learning Block Structurefor Activity Detection.

Yang Mu, Henry Z. Lo, Wei Ding, Kevin Amaral, Scott E. Crouter

IEEE Trans. Knowl. Data Eng., 2014