Towards a Rigorous Evaluation of Explainability for Multivariate Time Series

no code implementations • 6 Apr 2021 • Rohit Saluja, Avleen Malhi, Samanta Knapič, Kary Främling, Cicek Cavdar

Machine learning-based systems are rapidly gaining popularity and in-line with that there has been a huge research surge in the field of explainability to ensure that machine learning models are reliable, fair, and can be held liable for their decision-making process.

BIG-bench Machine Learning Decision Making +4

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

no code implementations • 5 May 2021 • Samanta Knapič, Avleen Malhi, Rohit Salujaa, Kary Främling

We conducted three user studies based on the explanations provided by LIME, SHAP and CIU.

Decision Making Explainable artificial intelligence +1