26 citations · 89 across the 11 of their papers we have counts for
12 papers
Class-Aware Reinforcement Learning for Counterfactual Explanation Generation
Muhammad Adil Saleem, Syed Ali Raza, Mary-Anne Williams
Counterfactual explanations (CFEs) enhance the interpretability of black-box models by generating alternative instances with adjusted feature values that achieve a contrastive outc…
EEGS: A Transparent Model of Emotions
Suman Ojha, Jonathan Vitale, Mary-Anne Williams
This paper presents the computational details of our emotion model, EEGS, and also provides an overview of a three-stage validation methodology used for the evaluation of our model…
Skill-driven Recommendations for Job Transition Pathways
Nikolas Dawson, Mary-Anne Williams, Marian-Andrei Rizoiu
Job security can never be taken for granted, especially in times of rapid, widespread and unexpected social and economic change. These changes can force workers to transition to ne…
Predicting Skill Shortages in Labor Markets: A Machine Learning Approach
Nik Dawson, Marian-Andrei Rizoiu, Benjamin Johnston +1
Skill shortages are a drain on society. They hamper economic opportunities for individuals, slow growth for firms, and impede labor productivity in aggregate. Therefore, the abilit…
Adaptively selecting occupations to detect skill shortages from online job ads
Nik Dawson, Marian-Andrei Rizoiu, Benjamin Johnston +1
Labour demand and skill shortages have historically been difficult to assess given the high costs of conducting representative surveys and the inherent delays of these indicators.…
Fog Robotics: A Summary, Challenges and Future Scope
Siva Leela Krishna Chand Gudi, Benjamin Johnston, Mary-Anne Williams
Human-robot interaction plays a crucial role to make robots closer to humans. Usually, robots are limited by their own capabilities. Therefore, they utilise Cloud Robotics to enhan…