Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Project

A network embedding approach to a fair, efficient and fulfilling job market.

Outputs and Outcomes

Publications

FAIRRET : a framework for differentiable fairness regularization terms

Maarten BuylMarybeth DefranceTijl De Bie

Inherent limitations of AI fairness

Maarten BuylTijl De Bie

A1 Journal Article in COMMUNICATIONS OF THE ACM

Fairness regularization in machine learning : methods and limitations

Maarten BuylTijl De BieJefrey Lijffijt

RankFormer : listwise learning-to-rank using listwide labels

Maarten BuylPaul MissaultPierre-Antoine Sondag

Optimal transport of classifiers to fairness

Maarten BuylTijl De Bie

Tackling algorithmic disability discrimination in the hiring process : an ethical, legal and technical analysis

Maarten BuylChristina CociancigCristina FrattoneNele Roekens