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02/11/2023
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes
Medical experts may use Artificial Intelligence (AI) systems with greate...
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07/06/2021
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
Academic advances of AI models in high-precision domains, like healthcar...
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05/04/2021
Semantic Modeling for Food Recommendation Explanations
With the increased use of AI methods to provide recommendations in the h...
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10/04/2020
Explanation Ontology: A Model of Explanations for User-Centered AI
Explainability has been a goal for Artificial Intelligence (AI) systems ...
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10/04/2020
Explanation Ontology in Action: A Clinical Use-Case
We addressed the problem of a lack of semantic representation for user-c...
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03/17/2020
Directions for Explainable Knowledge-Enabled Systems
Interest in the field of Explainable Artificial Intelligence has been gr...
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03/17/2020
Foundations of Explainable Knowledge-Enabled Systems
Explainability has been an important goal since the early days of Artifi...
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07/09/2019
Making Study Populations Visible through Knowledge Graphs
Treatment recommendations within Clinical Practice Guidelines (CPGs) are...
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03/26/2019
Linked Open Data Validity -- A Technical Report from ISWS 2018
Linked Open Data (LOD) is the publicly available RDF data in the Web. Ea...
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07/20/2018
