10 citations · 23 across the 5 of their papers we have counts for
6 papers
Contextual Importance and Utility: aTheoretical Foundation
Kary Främling
This paper provides new theory to support to the eXplainable AI (XAI) method Contextual Importance and Utility (CIU). CIU arithmetic is based on the concepts of Multi-Attribute Uti…
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain
Samanta Knapič, Avleen Malhi, Rohit Saluja +1
In the present paper we present the potential of Explainable Artificial Intelligence methods for decision-support in medical image analysis scenarios. With three types of explainab…
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series
Rohit Saluja, Avleen Malhi, Samanta Knapič +2
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 learn…
A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study
Matti Huotari, Shashank Arora, Avleen Malhi +1
It is of extreme importance to monitor and manage the battery health to enhance the performance and decrease the maintenance cost of operating electric vehicles. This paper concern…
Cognitive Perspectives on Context-based Decisions and Explanations
Marcus Westberg, Kary Främling
When human cognition is modeled in Philosophy and Cognitive Science, there is a pervasive idea that humans employ mental representations in order to navigate the world and make pre…
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory
Nazanin Fouladgar, Kary Främling
In this work, we report the practical and theoretical aspects of Explainable AI (XAI) identified in some fundamental literature. Although there is a vast body of work on representi…