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Sarah Jane Delany

3 papers here

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedFeature Selection Tutorial with Python Examples

8 citations · 8 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2021★ 8 cited

Feature Selection Tutorial with Python Examples

Padraig Cunningham, Bahavathy Kathirgamanathan, Sarah Jane Delany

In Machine Learning, feature selection entails selecting a subset of the available features in a dataset to use for model development. There are many motivations for feature select…

cs.CV2021

Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases

Xuehao Liu, Sarah Jane Delany, Susan McKeever

Deep learning models suffer from opaqueness. For Convolutional Neural Networks (CNNs), current research strategies for explaining models focus on the target classes within the asso…

cs.LG2020

Underestimation Bias and Underfitting in Machine Learning

Padraig Cunningham, Sarah Jane Delany

Often, what is termed algorithmic bias in machine learning will be due to historic bias in the training data. But sometimes the bias may be introduced (or at least exacerbated) by…

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