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 explainable artificial intelligence
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 7-Aug-2026 | Data-centric deep learning for defect detection in fiber composite materials: A review of algorithms, challenges, and emerging trends | Han, Juntao; Wang, Zidong; Liu, Weibo; Song, Baoye; Wang, Chuang; Liu, Xiaohui |
| 4-Feb-2022 | Explainable AI techniques with application to NBA gameplay prediction | Wang, Y; Liu, W; Liu, X |
| 27-Nov-2021 | Generating self-attention activation maps for visual interpretations of convolutional neural networks | Liang, Y; Li, M; Jiang, C |