%0 Journal Article %1 lassig2022metrics %A Lässig, Nico %A Oppold, Sarah %A Herschel, Melanie %D 2022 %J Datenbank-Spektrum %K accountability intcdc ipvs-de peer rp9 %N 1 %P 23 - 43 %R 10.1007/s13222-021-00401-y %T Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles %U https://doi.org/10.1007/s13222-021-00401-y %V 22

@article{lassig2022metrics, added-at = {2022-02-09T14:17:23.000+0100}, author = {Lässig, Nico and Oppold, Sarah and Herschel, Melanie}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20648a2fd1e983ebc8b0bf50654c4ebe1/m.herschel}, doi = {10.1007/s13222-021-00401-y}, interhash = {d12428f2f0b0a4164726c0355450bdba}, intrahash = {0648a2fd1e983ebc8b0bf50654c4ebe1}, journal = {Datenbank-Spektrum}, keywords = {accountability intcdc ipvs-de peer rp9}, number = 1, pages = {23 - 43}, refid = {Lässig2022}, timestamp = {2022-11-16T11:31:51.000+0100}, title = {Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles}, url = {https://doi.org/10.1007/s13222-021-00401-y}, volume = 22, year = 2022 }