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LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable
  Machine Learning Models

LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models

27 February 2024
Pedro Seber
R. D. Braatz
ArXivPDFHTML

Papers citing "LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models"

2 / 2 papers shown
Title
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box
  Vulnerabilities
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
Julia Rosenzweig
Joachim Sicking
Sebastian Houben
Michael Mock
Maram Akila
AAML
16
3
0
22 Apr 2021
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
88
387
0
10 Mar 2020
1