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 AI
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 3-Aug-2021 | Artificial intelligence: Explainability, ethical issues and bias | Alaa, M |
| 14-Jun-2020 | Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review | Madanu, R; Abbod, MF; Hsiao, F-J; Chen, W-T; Shieh, J-S |
| 15-Jun-2022 | An Explainable AI-Based Intrusion Detection System for DNS over HTTPS (DoH) Attacks | Zebin, T; Rezvy, S; Luo, Y |
| 12-Sep-2024 | Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance | Dong, L; Peng, Y; Jiang, F; Wang, K; Yang, K |
| 21-Mar-2024 | Explanation–Question–Response dialogue: An argumentative tool for explainable AI | Castagna, F; McBurney, P; Parsons, S |