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 interpretable machine learning
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 19-Nov-2024 | Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights | Sarfarazi, S; Shamass, R; Guarracino, F; Mascolo, I; Modano, M |
| 27-Nov-2021 | Generating self-attention activation maps for visual interpretations of convolutional neural networks | Liang, Y; Li, M; Jiang, C |