Enhancing supervised classifications with metamorphic relations
We report on a novel use of metamorphic relations (MRs) in machine learning: instead of conducting metamorphic testing, we use MRs for the augmentation of the machine learning algorithms themselves. In particular, we report on how MRs can enable enhancements to an image classification problem of ima...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2018
|
| Online Access: | https://eprints.nottingham.ac.uk/53764/ |
| _version_ | 1848798986300817408 |
|---|---|
| author | Xu, Liming Towey, Dave French, Andrew P. Benford, Steve Zhou, Zhi Quan Chen, Tsong Yueh |
| author_facet | Xu, Liming Towey, Dave French, Andrew P. Benford, Steve Zhou, Zhi Quan Chen, Tsong Yueh |
| author_sort | Xu, Liming |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We report on a novel use of metamorphic relations (MRs) in machine learning: instead of conducting metamorphic testing, we use MRs for the augmentation of the machine learning algorithms themselves. In particular, we report on how MRs can enable enhancements to an image classification problem of images containing hidden visual markers ("Artcodes").
Working on an original classifier, and using the characteristics of two different categories of images, two MRs, based on separation and occlusion, were used to improve the performance of the classifier. Our experimental results show that the MR-augmented classifier achieves better performance than the original classifier, algorithms, and extending the use of MRs beyond the context of software testing. |
| first_indexed | 2025-11-14T20:28:29Z |
| format | Conference or Workshop Item |
| id | nottingham-53764 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T20:28:29Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-537642018-09-06T09:59:15Z https://eprints.nottingham.ac.uk/53764/ Enhancing supervised classifications with metamorphic relations Xu, Liming Towey, Dave French, Andrew P. Benford, Steve Zhou, Zhi Quan Chen, Tsong Yueh We report on a novel use of metamorphic relations (MRs) in machine learning: instead of conducting metamorphic testing, we use MRs for the augmentation of the machine learning algorithms themselves. In particular, we report on how MRs can enable enhancements to an image classification problem of images containing hidden visual markers ("Artcodes"). Working on an original classifier, and using the characteristics of two different categories of images, two MRs, based on separation and occlusion, were used to improve the performance of the classifier. Our experimental results show that the MR-augmented classifier achieves better performance than the original classifier, algorithms, and extending the use of MRs beyond the context of software testing. 2018-05-27 Conference or Workshop Item PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/53764/1/MRAugmentedClassifierMET2018.pdf application/pdf en https://eprints.nottingham.ac.uk/53764/2/p46-xu.pdf Xu, Liming, Towey, Dave, French, Andrew P., Benford, Steve, Zhou, Zhi Quan and Chen, Tsong Yueh (2018) Enhancing supervised classifications with metamorphic relations. In: 3rd International Workshop on Metamorphic Testing - MET '18, 27 May 2018, Gothenburg, Sweden. https://doi.org/10.1145/3193977.3193978 |
| spellingShingle | Xu, Liming Towey, Dave French, Andrew P. Benford, Steve Zhou, Zhi Quan Chen, Tsong Yueh Enhancing supervised classifications with metamorphic relations |
| title | Enhancing supervised classifications with metamorphic relations |
| title_full | Enhancing supervised classifications with metamorphic relations |
| title_fullStr | Enhancing supervised classifications with metamorphic relations |
| title_full_unstemmed | Enhancing supervised classifications with metamorphic relations |
| title_short | Enhancing supervised classifications with metamorphic relations |
| title_sort | enhancing supervised classifications with metamorphic relations |
| url | https://eprints.nottingham.ac.uk/53764/ https://eprints.nottingham.ac.uk/53764/ |