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Towards explainable classifiers using the counterfactual approach --
  global explanations for discovering bias in data

Towards explainable classifiers using the counterfactual approach -- global explanations for discovering bias in data

5 May 2020
Agnieszka Mikołajczyk
M. Grochowski
Arkadiusz Kwasigroch
    FAtt
    CML
ArXivPDFHTML

Papers citing "Towards explainable classifiers using the counterfactual approach -- global explanations for discovering bias in data"

1 / 1 papers shown
Title
Interpretable Machine Learning with an Ensemble of Gradient Boosting
  Machines
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines
A. Konstantinov
Lev V. Utkin
FedML
AI4CE
10
138
0
14 Oct 2020
1