68 citations · 250 across the 51 of their papers we have counts for
3 papers · 1 filter
Reproducibility in Machine Learning-Driven Research
Harald Semmelrock, Simone Kopeinik, Dieter Theiler +2
Research is facing a reproducibility crisis, in which the results and findings of many studies are difficult or even impossible to reproduce. This is also the case in machine learn…
A conceptual model for leaving the data-centric approach in machine learning
Sebastian Scher, Bernhard Geiger, Simone Kopeinik +2
For a long time, machine learning (ML) has been seen as the abstract problem of learning relationships from data independent of the surrounding settings. This has recently been cha…
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers
Sebastian Scher, Simone Kopeinik, Andreas Trügler +1
The use of data-driven decision support by public agencies is becoming more widespread and already influences the allocation of public resources. This raises ethical concerns, as i…