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researcher

J. Gopsill

2 papers here

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

author position
  • middle author2

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

fields
  • cs.LG1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedDistinguishing artefacts: evaluating the saturation point of convolutional neural networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 1 cited

Distinguishing artefacts: evaluating the saturation point of convolutional neural networks

Ric Real, James Gopsill, David Jones +2

Prior work has shown Convolutional Neural Networks (CNNs) trained on surrogate Computer Aided Design (CAD) models are able to detect and classify real-world artefacts from photogra…

cs.SI2020

A rank-3 network representation for single-affiliation systems

Alexander O. Hultin, James A. Gopsill, Nigel Johnston +1

Single-affiliation systems are observed across nature and society. Examples include collaboration, organisational affiliations, and trade-blocs. The study of such systems is common…

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