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Cited by 2Imbalanced Data Classification TechniquesMachine Learning and Data ClassificationAdversarial Robustness in Machine Learning

The DOI matches its DataCite record.

PyCalib a library for classifier calibration

Open access
Perello-Nieto, Miquel, Song, Hao, Silva Filho, Telmo, Kängsepp, Markus·2021·Zenodo
DOI 10.5281/zenodo.5518877
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Abstract

This is the first pre-release of PyCalib, a library to calibrate probabilistic classifiers. The current contributors of the code are @perellonieto @Srceh @tmfilho @markus93

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Metadata

Authors
Perello-Nieto, M., Song, H., Silva Filho, T., & Kängsepp, M.
Affiliations
  • University of Bristol
  • University of Bristol (GB)
ORCID
Venue
Zenodo
Publisher
Zenodo
Published
2021-08-20
DOI
10.5281/zenodo.5518877
OpenAlex
W6912744204
Cited by
2
References
0
Citations by year
2026: 1 · 2023: 1
Type
software
Language
en
Open access
Licence
other-oa
Locations
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
  • Zenodo (CERN European Organization for Nuclear Research) (other-oa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
  • Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
Keywords
classifier calibration, probabilistic classifiers, Python library, confidence calibration

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CoChat. (2026). Citation check: PyCalib a library for classifier calibration. https://app.cochat.ai/papers/10.5281/zenodo.5518877
The paper
Perello-Nieto, M., Song, H., Silva Filho, T., & Kängsepp, M. (2021). PyCalib a library for classifier calibration. Zenodo. https://doi.org/10.5281/zenodo.5518877