Aaron Bostrom

According to our database, Aaron Bostrom authored at least 11 papers between 2015 and 2023.

Collaborative distances:

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

2023

Multiple Imputation Ensembles for Time Series (MIE-TS).

Aliya Aleryani, Aaron Bostrom, Wenjia Wang, Beatriz de la Iglesia

ACM Trans. Knowl. Discov. Data, April, 2023

2021

HIVE-COTE 2.0: a new meta ensemble for time series classification.

Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall

Mach. Learn., 2021

2018

Shapelet transforms for univariate and multivariate time series classification.

Aaron Bostrom

PhD thesis, 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

Is rotation forest the best classifier for problems with continuous features?

Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines

CoRR, 2018

2017

Binary Shapelet Transform for Multiclass Time Series Classification.

Aaron Bostrom, Anthony J. Bagnall

Trans. Large Scale Data Knowl. Centered Syst., 2017

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.

Anthony J. Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn J. Keogh

Data Min. Knowl. Discov., 2017

A Shapelet Transform for Multivariate Time Series Classification.

Aaron Bostrom, Anthony J. Bagnall

CoRR, 2017

Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings.

Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines

CoRR, 2017

2016

The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version.

Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines

CoRR, 2016

2015

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles.

Anthony J. Bagnall, Jason Lines, Jon Hills, Aaron Bostrom

IEEE Trans. Knowl. Data Eng., 2015