43 citations · 94 across the 3 of their papers we have counts for
4 papers · 1 filter
Representation Debiasing of Generated Data Involving Domain Experts
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
Biases in Artificial Intelligence (AI) or Machine Learning (ML) systems due to skewed datasets problematise the application of prediction models in practice. Representation bias is…
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication
Diego Rojo, Houda Lamqaddam, Lucija Gosak +1
Cardiovascular diseases (CVDs), the leading cause of death worldwide, can be prevented in most cases through behavioral interventions. Therefore, effective communication of CVD ris…
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms
Jeroen Ooge, Leen Dereu, Katrien Verbert
Researchers have widely acknowledged the potential of control mechanisms with which end-users of recommender systems can better tailor recommendations. However, few e-learning envi…
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic +1
Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of…