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Explainable Machine Learning for Breakdown Prediction in High Gradient
  RF Cavities

Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities

10 February 2022
Christoph Obermair
T. Cartier-Michaud
A. Apollonio
W. Millar
L. Felsberger
Lorenz Fischl
H. S. Bovbjerg
D. Wollmann
W. Wuensch
N. C. Lasheras
M. Boronat
Franz Pernkopf
G. Burt
ArXivPDFHTML

Papers citing "Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities"

4 / 4 papers shown
Title
Feature Importance Ranking for Deep Learning
Feature Importance Ranking for Deep Learning
Maksymilian Wojtas
Ke Chen
124
116
0
18 Oct 2020
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
120
293
0
17 Oct 2019
InceptionTime: Finding AlexNet for Time Series Classification
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz
Benjamin Lucas
Germain Forestier
Charlotte Pelletier
Daniel F. Schmidt
J. Weber
Geoffrey I. Webb
L. Idoumghar
Pierre-Alain Muller
Franccois Petitjean
AI4TS
85
1,058
0
11 Sep 2019
Distributed and parallel time series feature extraction for industrial
  big data applications
Distributed and parallel time series feature extraction for industrial big data applications
Maximilian Christ
A. Kempa-Liehr
M. Feindt
AI4TS
42
267
0
25 Oct 2016
1