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02/07/2023
Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
Concept Bottleneck Models (CBMs) first map raw input(s) to a vector of h...
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10/27/2020
An Experimentation Platform for Explainable Coalition Situational Understanding
We present an experimentation platform for coalition situational underst...
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10/23/2020
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams
Future coalition operations can be substantially augmented through agile...
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10/16/2019
Explainable AI for Intelligence Augmentation in Multi-Domain Operations
Central to the concept of multi-domain operations (MDO) is the utilizati...
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12/13/2018
gl2vec: Learning Feature Representation Using Graphlets for Directed Networks
Learning network representations has a variety of applications, such as ...
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09/29/2018
Stakeholders in Explainable AI
There is general consensus that it is important for artificial intellige...
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09/28/2018
Hows and Whys of Artificial Intelligence for Public Sector Decisions: Explanation and Evaluation
Evaluation has always been a key challenge in the development of artific...
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07/10/2018
Network Classification in Temporal Networks Using Motifs
Network classification has a variety of applications, such as detecting ...
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06/20/2018