Cost-sensitive boosting algorithms:Do we really need them?
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 50443669
- Type
- D - Journal article
- DOI
-
10.1007/s10994-016-5572-x
- Title of journal
- Machine Learning
- Article number
- -
- First page
- 359
- Volume
- 104
- Issue
- 2
- ISSN
- 0885-6125
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
A - Computer Science
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Unifies 20 years of work in a highly active area.
Selected for a plenary presentation at ECML as one of 12/129 eligible articles (top 9.3%).
Named by ACM Computing as a ""Notable Article"" of 2016. ACM estimates 20,000 journal articles are published annually in the field of computing - this year 231 were named as ""notable"" (top 1.5%).
The PGR at the core of the work was awarded an EPSRC Doctoral Prize Fellowship in 2016, to continue and expand the impact of the research."
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
