copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

FairNN - Conjoint Learning of Fair Representations for Fair Decisions.

T. Hu, V. Iosifidis, W. Liao, H. Zhang, M. Yang, E. Ntoutsi, and B. Rosenhahn. Discovery Science , volume 12323 of Lecture Notes in Computer Science, Springer International Publishing, (2020)

Description

FairNN: Conjoint learning of fair representations for fair decisions — University of Twente Research Information

Links and resources

DOI:: 10.1007/978-3-030-61527-7_38
URL:: https://doi.org/10.1007%2F978-3-030-61527-7_38
BibTeX key:: Hu_2020
search on:: Google Scholar Microsoft Bing WorldCat BASE

Comments and Reviews
(0)

There is no review or comment yet. You can write one!

Cite this publication

@incollection{Hu_2020,
  added-at = {2021-07-19T15:27:43.000+0200},
  author = {Hu, Tongxin and Iosifidis, Vasileios and Liao, Wentong and Zhang, Hang and Yang, Michael Ying and Ntoutsi, Eirini and Rosenhahn, Bodo},
  biburl = {https://www.bibsonomy.org/bibtex/279a8f5f0af9a49edd98a93e7e4b18338/sophieschr},
  booktitle = {Discovery Science},
  description = {FairNN: Conjoint learning of fair representations for fair decisions — University of Twente Research Information},
  doi = {10.1007/978-3-030-61527-7_38},
  interhash = {65e069fb0c3873431be5f5d7f15721bc},
  intrahash = {79a8f5f0af9a49edd98a93e7e4b18338},
  keywords = {l3s learning leibnizailab},
  pages = {581-595},
  publisher = {Springer International Publishing},
  series = {Lecture Notes in Computer Science},
  timestamp = {2021-07-19T15:27:43.000+0200},
  title = {FairNN - Conjoint Learning of Fair Representations for Fair Decisions.},
  type = {Publication},
  url = {https://doi.org/10.1007%2F978-3-030-61527-7_38},
  volume = 12323,
  year = 2020
}

%0 Book Section
%1 Hu_2020
%A Hu, Tongxin
%A Iosifidis, Vasileios
%A Liao, Wentong
%A Zhang, Hang
%A Yang, Michael Ying
%A Ntoutsi, Eirini
%A Rosenhahn, Bodo
%B Discovery Science
%D 2020
%I Springer International Publishing
%K l3s learning leibnizailab
%P 581-595
%R 10.1007/978-3-030-61527-7_38
%T FairNN - Conjoint Learning of Fair Representations for Fair Decisions.
%U https://doi.org/10.1007%2F978-3-030-61527-7_38
%V 12323

BibSonomy

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

FairNN - Conjoint Learning of Fair Representations for Fair Decisions.

Description

Links and resources

Comments and Reviews
(0)

Tags

Cite this publication

Meta data

community

In collection of:

tags (@sophieschr's tags highlighted)

BibSonomy

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FairNN - Conjoint Learning of Fair Representations for Fair Decisions.

Description

Links and resources

Comments and Reviews (0)

Tags

Cite this publication

Meta data

community

In collection of:

tags (@sophieschr's tags highlighted)

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

FairNN - Conjoint Learning of Fair Representations for Fair Decisions.

Comments and Reviews
(0)