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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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03/23/2022
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense
Programming machines with commonsense reasoning (CSR) abilities is a lon...
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10/19/2021
Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations
We propose a knowledge model for capturing dietary preferences and perso...
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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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06/09/2021
Geospatial Reasoning with Shapefiles for Supporting Policy Decisions
Policies are authoritative assets that are present in multiple domains t...
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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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04/15/2021
Applying Personal Knowledge Graphs to Health
Knowledge graphs that encapsulate personal health information, or person...
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02/01/2021
Commonsense Knowledge Mining from Term Definitions
Commonsense knowledge has proven to be beneficial to a variety of applic...
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01/12/2021
Dimensions of Commonsense Knowledge
Commonsense knowledge is essential for many AI applications, including t...
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12/21/2020
Exploring and Analyzing Machine Commonsense Benchmarks
Commonsense question-answering (QA) tasks, in the form of benchmarks, ar...
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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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11/27/2018
Semantically-aware population health risk analyses
One primary task of population health analysis is the identification of ...
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07/20/2018
Knowledge Integration for Disease Characterization: A Breast Cancer Example
With the rapid advancements in cancer research, the information that is ...
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07/04/2018
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
We present an end-to-end approach that takes unstructured textual input ...
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04/11/2018
Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion
In the medical domain, identifying and expanding abbreviations in clinic...
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04/06/2017
From Data to City Indicators: A Knowledge Graph for Supporting Automatic Generation of Dashboards
In the context of Smart Cities, indicator definitions have been used to ...
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04/06/2017
Human-Aware Sensor Network Ontology: Semantic Support for Empirical Data Collection
Significant efforts have been made to understand and document knowledge ...
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04/06/2017