43 citations · 81 across the 2 of their papers we have counts for
3 papers
Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction
Reza Samimi, Aditya Bhattacharya, Lucija Gosak +2
Healthcare professionals need effective ways to use, understand, and validate AI-driven clinical decision support systems. Existing systems face two key limitations: complex visual…
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak +2
Explanations in interactive machine-learning systems facilitate debugging and improving prediction models. However, the effectiveness of various global model-centric and data-centr…
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…