<span style="font-variant: small-caps">FairCaipi</span>: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction
- DOI
- 10.3390/make5040076
- Published
- 10
- Container
- Machine Learning and Knowledge Extraction
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/make5040076,
title = {<span style="font-variant: small-caps">FairCaipi</span>: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction},
author = {Louisa Heidrich and Emanuel Slany and Stephan Scheele and Ute Schmid},
year = {2023},
journal = {Machine Learning and Knowledge Extraction},
doi = {10.3390/make5040076},
url = {https://doi.org/10.3390/make5040076}
}RIS
TY - JOUR TI - <span style="font-variant: small-caps">FairCaipi</span>: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction AU - Louisa Heidrich AU - Emanuel Slany AU - Stephan Scheele AU - Ute Schmid PY - 2023 JO - Machine Learning and Knowledge Extraction DO - 10.3390/make5040076 UR - https://doi.org/10.3390/make5040076 ER -
APA
Heidrich, L., Slany, E., Scheele, S., & Schmid, U. (2023). <span style="font-variant: small-caps">FairCaipi</span>: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction. Machine Learning and Knowledge Extraction. https://doi.org/10.3390/make5040076
Source records
- doaj · retrieved 2026-09-24T22:08:17.355Z