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08/07/2023
Feature Importance versus Feature Influence and What It Signifies for Explainable AI
When used in the context of decision theory, feature importance expresse...
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03/22/2023
Context, Utility and Influence of an Explanation
Contextual utility theory integrates context-sensitive factors into util...
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03/21/2023
Do intermediate feature coalitions aid explainability of black-box models?
This work introduces the notion of intermediate concepts based on levels...
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02/15/2022
Contextual Importance and Utility: aTheoretical Foundation
This paper provides new theory to support to the eXplainable AI (XAI) me...
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05/05/2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain
In the present paper we present the potential of Explainable Artificial ...
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04/06/2021
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series
Machine learning-based systems are rapidly gaining popularity and in-lin...
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03/30/2021
A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study
It is of extreme importance to monitor and manage the battery health to ...
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01/25/2021
Cognitive Perspectives on Context-based Decisions and Explanations
When human cognition is modeled in Philosophy and Cognitive Science, the...
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12/17/2020
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory
In this work, we report the practical and theoretical aspects of Explain...
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09/29/2020
Explainable AI without Interpretable Model
Explainability has been a challenge in AI for as long as AI has existed....
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05/30/2020
Explanations of Black-Box Model Predictions by Contextual Importance and Utility
The significant advances in autonomous systems together with an immensel...
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01/23/2020