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Michaela Benk

ETH Zürich - Department of Management, Technology, and Economics (D-MTEC)

ETH-Zentrum

Zurich, CH-8092

United States

ETH Zürich - Mobiliar Lab for Analytics

Zürich, 8092

Switzerland

SCHOLARLY PAPERS

1

DOWNLOADS

527

TOTAL CITATIONS

10

Scholarly Papers (1)

1.

Explaining Interpretable Machine Learning: Theory, Methods and Applications

Number of pages: 87 Posted: 21 Jan 2021
Michaela Benk and Andrea Ferrario
ETH Zürich - Department of Management, Technology, and Economics (D-MTEC) and University of Zurich
Downloads 527 (131,826)
Citation 10

Abstract:

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interpretable machine learning, explanation, interpretation, trust, trust in human-machine interactions, counterfactual explanations, Local Interpretable Model-agnostic Explanations (LIME), Python, Tensorflow 2.0