Submitted outputs' details

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Improving the Accuracy of Convolutional Neural Networks by Identifying and Removing Outlier Images in Datasets Using t-SNE

Submitting institution: Oxford Brookes University
Unit of assessment: 13 - Architecture, Built Environment and Planning
Output identifier: 188351480
Type: D - Journal article
DOI: 10.3390/math8050662
Title of journal: Mathematics
Article number: 662
First page: -
Volume: 8
Issue: 5
ISSN: 2227-7390
Open access status: Compliant
Month of publication: April
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: 1
Research group(s): -
Proposed double-weighted: No
Reserve for an output with double weighting: No
Additional information: -
Author contribution statement: -
Non-English: No
English abstract: -