Gavin Pearson

Orcid: 0000-0002-0197-5833

According to our database1, Gavin Pearson authored at least 13 papers between 2008 and 2020.

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Bibliography

2020
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI.
Patterns, 2020

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams.
CoRR, 2020

2019
Federated Learning for Coalition Operations.
CoRR, 2019

2018
A Systems Approach to Achieving the Benefits of Artificial Intelligence in UK Defence.
CoRR, 2018

Learning Service Semantics for Self-Organization in Distributed Environments: Concepts and Research Directions.
Proceedings of the 2018 IEEE Military Communications Conference, 2018

Supporting Scientific Enquiry with Uncertain Sources.
Proceedings of the 21st International Conference on Information Fusion, 2018

Self-Generating Policies for Machine Learning in Coalition Environments.
Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

Value of Information: Quantification and Application to Coalition Machine Learning.
Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

2017
Intra-group Tension Under Inter-group Conflict: A Generative Model Using Group Social Norms and Identity.
Proceedings of the Advances in Cross-Cultural Decision Making, 2017

2015
Distributed analytics and information science.
Proceedings of the 18th International Conference on Information Fusion, 2015

2009
An end to end life cycle for ISR in coalition networks.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Intelligence, Surveillance, and Reconnaissance fusion for coalition operations.
Proceedings of the 11th International Conference on Information Fusion, 2008

An Ontology-Centric Approach to Sensor-Mission Assignment.
Proceedings of the Knowledge Engineering: Practice and Patterns, 2008


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