AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 85782305
- Type
- D - Journal article
- DOI
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10.1016/j.neucom.2020.03.064
- Title of journal
- Neurocomputing
- Article number
- -
- First page
- 351
- Volume
- 404
- Issue
- -
- ISSN
- 0925-2312
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2020
- 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
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2
- Research group(s)
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A - Intelligent Systems Research Centre
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <11> This paper arose from a The Leverhulme Trust Research Project Grant RPG-2016-252 entitled “Novel Approaches for Constructing Optimised Multimodal Data Spaces”. The first author was the Research Fellow appointed to the project, who has since progressed to an Early Career Academic (ECA) Fellowship in De Montfort University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -