1 citations · 1 across the 4 of their papers we have counts for
4 papers
STX-Search: Explanation Search for Continuous Dynamic Spatio-Temporal Models
Saif Anwar, Nathan Griffiths, Thomas Popham +1
Recent improvements in the expressive power of spatio-temporal models have led to performance gains in many real-world applications, such as traffic forecasting and social network…
MASALA: Model-Agnostic Surrogate Explanations by Locality Adaptation
Saif Anwar, Nathan Griffiths, Abhir Bhalerao +1
Existing local Explainable AI (XAI) methods, such as LIME, select a region of the input space in the vicinity of a given input instance, for which they approximate the behaviour of…
CHILLI: A data context-aware perturbation method for XAI
Saif Anwar, Nathan Griffiths, Abhir Bhalerao +1
The trustworthiness of Machine Learning (ML) models can be difficult to assess, but is critical in high-risk or ethically sensitive applications. Many models are treated as a `blac…
If and When a Driver or Passenger is Returning to Vehicle: Framework to Infer Intent and Arrival Time
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill +2
This paper proposes a probabilistic framework for the sequential estimation of the likelihood of a driver or passenger(s) returning to the vehicle and time of arrival, from the ava…