most citedEffects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2019★ 3 cited

Effects of data ambiguity and cognitive biases on the interpretability of machine learning models in humanitarian decision making

David Paulus, Gerdien de Vries, Bartel Van de Walle

The effectiveness of machine learning algorithms depends on the quality and amount of data and the operationalization and interpretation by the human analyst. In humanitarian respo…