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Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault
  Detection with Deep Learning

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning

19 October 2023
Thomas Decker
Michael Lebacher
Volker Tresp
ArXiv (abs)PDFHTML

Papers citing "Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning"

6 / 6 papers shown
Title
Explaining by Removing: A Unified Framework for Model Explanation
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert
Scott M. Lundberg
Su-In Lee
FAtt
101
250
0
21 Nov 2020
Captum: A unified and generic model interpretability library for PyTorch
Captum: A unified and generic model interpretability library for PyTorch
Narine Kokhlikyan
Vivek Miglani
Miguel Martin
Edward Wang
B. Alsallakh
...
Alexander Melnikov
Natalia Kliushkina
Carlos Araya
Siqi Yan
Orion Reblitz-Richardson
FAtt
138
843
0
16 Sep 2020
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Y. Alufaisan
L. Marusich
J. Bakdash
Yan Zhou
Murat Kantarcioglu
XAI
51
95
0
19 Jun 2020
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
129
3,961
0
06 Feb 2018
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OODFAtt
188
5,989
0
04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
16,990
0
16 Feb 2016
1