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R. Turnbull

4 papers hereh-index 4498 citations11 works total

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

author position
  • sole author1
  • first author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.DL1
  • eess.IV1
same name
  • R. Turnbull — 8 papers, h 13
  • R. Turnbull — 4 papers, h 3
  • R. Turnbull — 2 papers, h 8
  • R. Turnbull — 1 paper, h 4

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

most citedHespi: A pipeline for automatically detecting information from hebarium specimen sheets

9 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DL2025

Rdgai: Classifying transcriptional changes using Large Language Models with a test case from an Arabic Gospel tradition

Robert Turnbull

Application of phylogenetic methods to textual traditions has traditionally treated all changes as equivalent even though it is widely recognized that certain types of variants wer…

cs.CV2024★ 9 cited

Hespi: A pipeline for automatically detecting information from hebarium specimen sheets

Robert Turnbull, Emily Fitzgerald, Karen Thompson +1

Specimen-associated biodiversity data are crucial for biological, environmental, and conservation sciences. A rate shift is needed to extract data from specimen images efficiently,…

eess.IV2024

High-confidence pseudo-labels for domain adaptation in COVID-19 detection

Robert Turnbull, Simon Mutch

This paper outlines our submission for the 4th COV19D competition as part of the `Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis' (DEF-AI-MIA) worksho…

cs.CV2024★ 1 cited

Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR

Robert Turnbull, Evelyn Mannix

Purpose: The capacity to isolate and recognize individual characters from facsimile images of papyrus manuscripts yields rich opportunities for digital analysis. For this reason th…

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