Skip to main navigation
Skip to search
Skip to main content
University of East Anglia Home
Home
People
Organisations
Research output
Projects
Datasets
Prizes
Activities
Press / Media
Impacts
Search by expertise, name or affiliation
The Collective of Transform Ensembles (COTE) for Time Series Classification
Bagnall, Tony
(Principal Investigator)
School of Computing Sciences
Data Science and Statistics
Overview
Research output
(6)
Project Details
Status
Finished
Effective start/end date
1/05/15
→
31/10/18
Funding
Engineering and Physical Sciences Research Council:
£317,804.00
View all
View less
Research output
Research output per year
2015
2015
2017
2018
2019
2019
5
Article
1
Conference contribution
Research output per year
Research output per year
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
Large, J.
,
Lines, J.
&
Bagnall, A.
,
1 Nov 2019
,
In:
Data Mining and Knowledge Discovery.
33
,
6
,
p. 1674-1709
36 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
37
Citations (Scopus)
47
Downloads (Pure)
On time series classification with dictionary-based classifiers
Large, J.
,
Bagnall, A.
,
Malinowski, S.
&
Tavenard, R.
,
24 Oct 2019
,
In:
Intelligent Data Analysis.
23
,
5
,
p. 1073-1089
17 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
19
Citations (Scopus)
43
Downloads (Pure)
Optimizing dynamic time warping’s window width for time series data mining applications
Dau, H. A.
,
Silva, D. F.
,
Petitjean, F.
,
Forestier, G.
,
Bagnall, A.
,
Mueen, A.
&
Keogh, E.
,
Jul 2018
,
In:
Data Mining and Knowledge Discovery.
32
,
4
,
p. 1074–1120
27 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
46
Citations (Scopus)
9
Downloads (Pure)