3 citations · 3 across the 3 of their papers we have counts for
3 papers
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
Kuniko Paxton, Koorosh Aslansefat, Dhavalkumar Thakker +1
Fairness is a critical component of Trustworthy AI. In this paper, we focus on Machine Learning (ML) and the performance of model predictions when dealing with skin color. Unlike o…
Enhancing Trustworthiness and Minimising Bias Issues in Leveraging Social Media Data for Disaster Management Response
Samia Abid, Bhupesh Kumar Mishra, Dhavalkumar Thakker +1
Disaster events often unfold rapidly, necessitating a swift and effective response. Developing action plans, resource allocation, and resolution of help requests in disaster scenar…
SWoTSuite: A Development Framework for Prototyping Cross-domain Semantic Web of Things Applications
Pankesh Patel, Amelie Gyrard, Dhavalkumar Thakker +2
Semantic Web of Things (SWoT) applications focus on providing a wide-scale interoperability that allows the sharing of IoT devices across domains and the reusing of available knowl…