James Large - RankMe

25 papers Misc 2Journal 18Unranked 5

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