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researcher

Beth L. Pineles

2 papers here

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

author position
  • last author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CE1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedUtilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2019

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes

Paul Fergus, Carl Chalmers, Casimiro Curbelo Montanez +3

Gynaecologists and obstetricians visually interpret cardiotocography (CTG) traces using the International Federation of Gynaecology and Obstetrics (FIGO) guidelines to assess the w…

cs.CE2018★ 3 cited

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women

Paul Fergus, Casimiro Curbelo Montanez, Basma Abdulaimma +2

Genome Wide Association Studies (GWAS) are used to identify statistically significant genetic variants in case-control studies. GWAS typically use a p-value threshold of 5 x 10-8 t…

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