10 citations · 24 across the 11 of their papers we have counts for
12 papers
Bounded fuzzy logic control for optimal scheduling of green hydrogen production and revenue maximisation
Sleiman Farah, Jens Jakob Sørensen, Kary Främling +1
Hydrogen Purchase Agreements (HPAs) guarantee revenue streams that mitigate the financial risks inherent in the long-term production of green hydrogen from renewable energy sources…
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection
Nazanin Fouladgar, Marjan Alirezaie, Kary Främling
Local explanation of machine learning (ML) models has recently received significant attention due to its ability to reduce ambiguities about why the models make specific decisions.…
Contextual Importance and Utility in Python: New Functionality and Insights with the py-ciu Package
Kary Främling
The availability of easy-to-use and reliable software implementations is important for allowing researchers in academia and industry to test, assess and take into use eXplainable A…
Feature Importance versus Feature Influence and What It Signifies for Explainable AI
Kary Främling
When used in the context of decision theory, feature importance expresses how much changing the value of a feature can change the model outcome (or the utility of the outcome), com…
Context, Utility and Influence of an Explanation
Minal Suresh Patil, Kary Främling
Contextual utility theory integrates context-sensitive factors into utility-based decision-making models. It stresses the importance of understanding individual decision-makers' pr…
Do intermediate feature coalitions aid explainability of black-box models?
Minal Suresh Patil, Kary Främling
This work introduces the notion of intermediate concepts based on levels structure to aid explainability for black-box models. The levels structure is a hierarchical structure in w…
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…