Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject data augmentation
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
|---|---|---|
| 22-Mar-2022 | Attentive Feature Augmentation for Long-Tailed Visual Recognition | Wang, W; Zhao, Z; Wang, P; Su, F; Meng, H |
| 8-Mar-2023 | The Impact of Data Augmentation on Sentiment Analysis of Translated Textual Data | Omran, T; Sharef, B; Grosan, C; Li, Y |
| 10-Dec-2021 | An Improved Capsule Network (WaferCaps) for Wafer Bin Map Classification Based on DCGAN Data Upsampling | Abu Ebayyeh, AARM; Danishvar, S; Mousavi, A |
| 29-Mar-2023 | A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis | Wang, C; Wang, Z; Ma, L; Dong, H; Sheng, W |
| 8-Jul-2021 | On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs | Byerly, A; Kalganova, T; Grichnik, AJ |
| 12-May-2023 | Subdomain-Alignment Data Augmentation for Pipeline Fault Diagnosis: An Adversarial Self-Attention Network | Wang, C; Wang, Z; Ma, L; Dong, H; Sheng, W |