Advancing explainability in multivariate time series classification through generative models
As Artificial Intelligence (AI) techniques become increasingly integrated in various domains, concerns about their interpretability have increased. This has catalysed the development of eXplainable AI (XAI), which seeks to make AI systems more understandable to humans. However, most XAI research has...
| Main Author: | |
|---|---|
| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/78149/ |