8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Why is the winner the best?
Matthias Eisenmann, Annika Reinke, Vivienn Weru +122
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…
cs.LG2023
On (assessing) the fairness of risk score models
Eike Petersen, Melanie Ganz, Sune Hannibal Holm +1
Recent work on algorithmic fairness has largely focused on the fairness of discrete decisions, or classifications. While such decisions are often based on risk score models, the fa…
cs.LG2014★ 8 cited
Approximate False Positive Rate Control in Selection Frequency for Random Forest
Ender Konukoglu, Melanie Ganz
Random Forest has become one of the most popular tools for feature selection. Its ability to deal with high-dimensional data makes this algorithm especially useful for studies in n…