research
∙
09/18/2023
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
Corner case scenarios are an essential tool for testing and validating t...
share
research
∙
07/02/2023
Effects of Explanation Specificity on Passengers in Autonomous Driving
The nature of explanations provided by an explainable AI algorithm has b...
research
∙
04/12/2023
Textual Explanations for Automated Commentary Driving
The provision of natural language explanations for the predictions of de...
research
∙
02/07/2023
Explainable Action Prediction through Self-Supervision on Scene Graphs
This work explores scene graphs as a distilled representation of high-le...
research
∙
04/19/2022
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions
In commentary driving, drivers verbalise their observations, assessments...
research
∙
06/17/2021
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps
Third-party tracking allows companies to collect users' behavioural data...
research
∙
03/09/2021
Explanations in Autonomous Driving: A Survey
The automotive industry is seen to have witnessed an increasing level of...
research
∙
12/03/2019
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models
We present Smooth Grad-CAM++, a technique which combines two recent tech...
research
∙
08/03/2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
Gaining insight into how deep convolutional neural network models perfor...
research
∙
08/01/2019
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa
Urbanization is a common phenomenon in developing countries and it poses...
research
∙
11/20/2018
Deep Convolutional Neural Network for Plant Seedlings Classification
Agriculture is vital for human survival and remains a major driver of se...
research
∙
11/04/2018
