James Large

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 25

Top Topics

Classification Algorithm

Confusion Matrix

Classifier Ensemble

Experimental Evaluation

Top Venues

Data Min. Knowl. Discov.

Publications

Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. CoRR (2021)
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
HIVE-COTE 2.0: a new meta ensemble for time series classification. Mach. Learn. 110 (11) (2021)
Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst, Anthony J. Bagnall
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Discov. 35 (2) (2021)
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, Anthony J. Bagnall
HIVE-COTE 2.0: a new meta ensemble for time series classification. CoRR (2021)
Matthew Middlehurst, James Large, Anthony J. Bagnall
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. IEEE BigData (2020)
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0. CoRR (2020)
Matthew Middlehurst, James Large, Anthony J. Bagnall
The Canonical Interval Forest (CIF) Classifier for Time Series Classification. CoRR (2020)
Anthony J. Bagnall, Michael Flynn, James Large, Jason Lines, Matthew Middlehurst
On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0). AALTD@PKDD/ECML (2020)
Anthony J. Bagnall, Paul Southam, James Large, Richard W. Harvey
Detecting Electric Devices in 3D Images of Bags. CoRR (2020)
Matthew Middlehurst, James Large, Gavin C. Cawley, Anthony J. Bagnall
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. ECML/PKDD (1) (2020)
James Large, Jason Lines, Anthony J. Bagnall
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates. Data Min. Knowl. Discov. 33 (6) (2019)
James Large, Paul Southam, Anthony J. Bagnall
Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms? HAIS (2019)
Anthony J. Bagnall, James Large, Matthew Middlehurst
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers. CoRR (2019)
James Large, Anthony J. Bagnall
Mixing Hetero- and Homogeneous Models in Weighted Ensembles. IDEAL (1) (2019)
Michael Flynn, James Large, Tony Bagnall
The Contract Random Interval Spectral Ensemble (c-RISE): The Effect of Contracting a Classifier on Accuracy. HAIS (2019)
James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard
On time series classification with dictionary-based classifiers. Intell. Data Anal. 23 (5) (2019)
Anthony J. Bagnall, Aaron Bostrom, Gavin C. Cawley, Michael Flynn, James Large, Jason Lines
Is rotation forest the best classifier for problems with continuous features? CoRR (2018)
James Large, Anthony J. Bagnall, Simon Malinowski, Romain Tavenard
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. CoRR (2018)
James Large, E. Kate Kemsley, Nikolaus Wellner, Ian Goodall, Anthony J. Bagnall
Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine Learning. PAKDD (1) (2018)
Anthony J. Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, Eamonn J. Keogh
The UEA multivariate time series classification archive, 2018. CoRR (2018)
James Large, Paul Southam, Anthony J. Bagnall
Can automated smoothing significantly improve benchmark time series classification algorithms? CoRR (2018)
Anthony J. Bagnall, Jason Lines, Aaron Bostrom, James Large, Eamonn J. Keogh
The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Min. Knowl. Discov. 31 (3) (2017)
James Large, Jason Lines, Anthony J. Bagnall
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts. CoRR (2017)
Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings. CoRR (2017)
Anthony J. Bagnall, Aaron Bostrom, James Large, Jason Lines
The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version. CoRR (2016)