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S. Thomas

8 papers hereh-index 10617 citations46 works total

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

author position
  • sole author4
  • middle author1
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG2
  • cs.CL1
  • eess.IV1
  • stat.AP1
same name
  • S. Thomas — 226 papers
  • S. Thomas — 59 papers, h 43
  • S. Thomas — 57 papers, h 109
  • S. Thomas — 44 papers
  • S. Thomas — 35 papers, h 15
  • S. Thomas — 31 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedInformation Maximization Clustering via Multi-View Self-Labelling

29 citations · 71 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

eess.IV2021

Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion

Spencer A. Thomas

In this work we examine the performance enhancement in classification of medical imaging data when image features are combined with associated non-image data. We compare the perfor…

cs.CV2021★ 11 cited

Combining Image Features and Patient Metadata to Enhance Transfer Learning

Spencer A. Thomas

In this work, we compare the performance of six state-of-the-art deep neural networks in classification tasks when using only image features, to when these are combined with patien…

stat.AP2021

Place of Occurrence of COVID-19 Deaths in the UK: Modelling and Analysis

Spencer A. Thomas

We analysed publicly available data on place of occurrence of COVID-19 deaths from national statistical agencies in the UK between March 9 2020 and February 28 2021. We introduce a…

cs.CV2021★ 29 cited

Information Maximization Clustering via Multi-View Self-Labelling

Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas

Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision. Recent advances focus on the use of self-supervis…

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