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GAM(e) changer or not? An evaluation of interpretable machine learning
  models based on additive model constraints

GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints

19 April 2022
Patrick Zschech
Sven Weinzierl
Nico Hambauer
Sandra Zilker
Mathias Kraus
ArXivPDFHTML

Papers citing "GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints"

4 / 4 papers shown
Title
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using
  Explainable Boosting Machine
Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine
Z. Deger
Gülsen Taskin Kaya
J. Wallace
8
3
0
11 Jan 2023
Intelligent Decision Assistance Versus Automated Decision-Making:
  Enhancing Knowledge Work Through Explainable Artificial Intelligence
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence
Max Schemmer
Niklas Kühl
G. Satzger
11
12
0
28 Sep 2021
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Shibal Ibrahim
P. Radchenko
E. Ben-David
Rahul Mazumder
19
2
0
24 Aug 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
1