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Interpretable Machine Learning Models for Predicting and Explaining
  Vehicle Fuel Consumption Anomalies

Interpretable Machine Learning Models for Predicting and Explaining Vehicle Fuel Consumption Anomalies

28 October 2020
A. Barbado
Óscar Corcho
ArXivPDFHTML

Papers citing "Interpretable Machine Learning Models for Predicting and Explaining Vehicle Fuel Consumption Anomalies"

3 / 3 papers shown
Title
How Interpretable and Trustworthy are GAMs?
How Interpretable and Trustworthy are GAMs?
C. Chang
S. Tan
Benjamin J. Lengerich
Anna Goldenberg
R. Caruana
FAtt
85
77
0
11 Jun 2020
Towards Robust Interpretability with Self-Explaining Neural Networks
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis
Tommi Jaakkola
MILM
XAI
90
938
0
20 Jun 2018
Mean Absolute Percentage Error for regression models
Mean Absolute Percentage Error for regression models
Arnaud De Myttenaere
B. Golden
B. L. Grand
Fabrice Rossi
17
980
0
09 May 2016
1