2 citations · 2 across the 2 of their papers we have counts for
4 papers
fairadapt: Causal Reasoning for Fair Data Pre-processing
Drago Plečko, Nicolas Bennett, Nicolai Meinshausen
Machine learning algorithms are useful for various predictions tasks, but they can also learn how to discriminate, based on gender, race or other sensitive attributes. This realiza…
ricu: R's Interface to Intensive Care Data
Nicolas Bennett, Drago Plečko, Ida-Fong Ukor +2
Providing computational infrastructure for handling diverse intensive care unit (ICU) datasets, the R package 'ricu' enables writing dataset-agnostic analysis code, thereby facilit…
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
Michael Moor, Nicolas Bennet, Drago Plecko +5
Despite decades of clinical research, sepsis remains a global public health crisis with high mortality, and morbidity. Currently, when sepsis is detected and the underlying pathoge…
Fair Data Adaptation with Quantile Preservation
Drago Plečko, Nicolai Meinshausen
Fairness of classification and regression has received much attention recently and various, partially non-compatible, criteria have been proposed. The fairness criteria can be enfo…