3 citations · 3 across the 4 of their papers we have counts for
5 papers
Human strategies for correcting `human-robot' errors during a laundry sorting task
Pepita Barnard, Maria J Galvez Trigo, Dominic Price +7
Mental models and expectations underlying human-human interaction (HHI) inform human-robot interaction (HRI) with domestic robots. To ease collaborative home tasks by improving dom…
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy +4
This paper presents an open-source Python toolbox called Ensemble Feature Importance (EFI) to provide machine learning (ML) researchers, domain experts, and decision makers with ro…
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving
Jimiama Mafeni Mase, Direnc Pekaslan, Utkarsh Agrawal +4
Commercial driving is a complex multifaceted task influenced by personal traits and external contextual factors, such as weather, traffic, road conditions, etc. Previous intelligen…
Towards Privacy-Preserving Affect Recognition: A Two-Level Deep Learning Architecture
Jimiama M. Mase, Natalie Leesakul, Fan Yang +2
Automatically understanding and recognising human affective states using images and computer vision can improve human-computer and human-robot interaction. However, privacy has bec…
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
Divish Rengasamy, Jimiama M. Mase, Mercedes Torres Torres +3
With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular output is produced. Altho…