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researcher

G. Pearson

3 papers hereh-index 9521 citations37 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • cs.MA1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedFederated Learning for Coalition Operations

4 citations · 4 across the 1 of their papers we have counts for

collaborators

3 papers

cs.MA2020

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams

Dave Braines, Federico Cerutti, Marc Roig Vilamala +3

Future coalition operations can be substantially augmented through agile teaming between human and machine agents, but in a coalition context these agents may be unfamiliar to the…

cs.LG2019★ 4 cited

Federated Learning for Coalition Operations

D. Verma, S. Calo, S. Witherspoon +8

Machine Learning in coalition settings requires combining insights available from data assets and knowledge repositories distributed across multiple coalition partners. In tactical…

cs.AI2018

A Systems Approach to Achieving the Benefits of Artificial Intelligence in UK Defence

Gavin Pearson, Phil Jolley, Geraint Evans

The ability to exploit the opportunities offered by AI within UK Defence calls for an understanding of systemic issues required to achieve an effective operational capability. This…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.