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researcher

Andy Lomas

2 papers hereh-index 7182 citations27 works total

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

author position
  • last author2

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

fields
  • cs.NE2

identity via Semantic Scholar / OpenAlex

most citedUnderstanding Aesthetic Evaluation using Deep Learning

27 citations · 27 across the 1 of their papers we have counts for

collaborators

2 papers

cs.NE2020

Deep Learning of Individual Aesthetics

Jon McCormack, Andy Lomas

Accurate evaluation of human aesthetic preferences represents a major challenge for creative evolutionary and generative systems research. Prior work has tended to focus on feature…

cs.NE2020★ 27 cited

Understanding Aesthetic Evaluation using Deep Learning

Jon McCormack, Andy Lomas

A bottleneck in any evolutionary art system is aesthetic evaluation. Many different methods have been proposed to automate the evaluation of aesthetics, including measures of symme…

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