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Causal interpretation rules for encoding and decoding models in
  neuroimaging

Causal interpretation rules for encoding and decoding models in neuroimaging

15 November 2015
S. Weichwald
Timm Meyer
Ozan Özdenizci
Bernhard Schölkopf
T. Ball
Moritz Grosse-Wentrup
    AI4CE
    CML
ArXivPDFHTML

Papers citing "Causal interpretation rules for encoding and decoding models in neuroimaging"

6 / 6 papers shown
Title
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Minimizing False-Positive Attributions in Explanations of Non-Linear Models
Anders Gjølbye
Stefan Haufe
Lars Kai Hansen
194
0
0
16 May 2025
Causal and anti-causal learning in pattern recognition for neuroimaging
Causal and anti-causal learning in pattern recognition for neuroimaging
S. Weichwald
Bernhard Schölkopf
T. Ball
Moritz Grosse-Wentrup
CML
35
15
0
15 Dec 2015
Strong Completeness and Faithfulness in Bayesian Networks
Strong Completeness and Faithfulness in Bayesian Networks
Christopher Meek
107
309
0
20 Feb 2013
On Causal and Anticausal Learning
On Causal and Anticausal Learning
Bernhard Schölkopf
Dominik Janzing
J. Peters
Eleni Sgouritsa
Kun Zhang
Joris Mooij
CML
88
609
0
27 Jun 2012
Causal discovery of linear acyclic models with arbitrary distributions
Causal discovery of linear acyclic models with arbitrary distributions
P. Hoyer
Aapo Hyvarinen
R. Scheines
Peter Spirtes
Joseph Ramsey
Gustavo Lacerda
Shohei Shimizu
CML
95
80
0
13 Jun 2012
Kernel-based Conditional Independence Test and Application in Causal
  Discovery
Kernel-based Conditional Independence Test and Application in Causal Discovery
Kun Zhang
J. Peters
Dominik Janzing
Bernhard Schölkopf
BDL
CML
102
629
0
14 Feb 2012
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