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J. Bailey

36 papers hereh-index 5116.8k citations258 works total

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

author position
  • middle author24
  • last author12

Across the 36 of 36 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • cs.CV6
  • stat.ML5
  • cs.HC3
  • cs.AI2
  • cs.SI2
same name
  • J. Bailey — 64 papers, h 42
  • J. Bailey — 50 papers, h 13
  • J. Bailey — 49 papers, h 20
  • J. Bailey — 18 papers, h 8
  • J. Bailey — 9 papers, h 11
  • J. Bailey — 7 papers, h 14

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
20122021
most citedUnderstanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

548 citations · 2.3k across the 35 of their papers we have counts for

collaborators
Showing 2015 · stat.MLShow all

3 papers · 2 filters

stat.ML2015★ 135 cited

Adjusting for Chance Clustering Comparison Measures

Simone Romano, Nguyen Xuan Vinh, James Bailey +1

Adjusted for chance measures are widely used to compare partitions/clusterings of the same data set. In particular, the Adjusted Rand Index (ARI) based on pair-counting, and the Ad…

stat.ML2015

A Framework to Adjust Dependency Measure Estimates for Chance

Simone Romano, Nguyen Xuan Vinh, James Bailey +1

Estimating the strength of dependency between two variables is fundamental for exploratory analysis and many other applications in data mining. For example: non-linear dependencies…

stat.ML2015★ 5 cited

Invariant backpropagation: how to train a transformation-invariant neural network

Sergey Demyanov, James Bailey, Ramamohanarao Kotagiri +1

In many classification problems a classifier should be robust to small variations in the input vector. This is a desired property not only for particular transformations, such as t…

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