Who Cited It

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced\n Datasets in Machine Learning

2016 · arXiv (Cornell University) · 1,433 citations · 1 from inside this corpus

Guillaume Lemaître, Fernando Nogueira low, Christos K. Aridas

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced\n Datasets in Machin… (2016)Imbalanced-learn: A Python To…SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann… (2018)SMOTE for Learning from Imbal…
1 of 1 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

What cites it, inside the corpus

PaperYearCited
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Ann…20182,226

Links

Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record

Topics

Imbalanced Data Classification TechniquesComputer Science
Artificial Intelligence in HealthcareHealth Professions
COVID-19 diagnosis using AIMedicine

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports3 author record(s) attached.
  • weakensNo references are recorded despite 1,433 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…