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Explainable artificial intelligence approaches for brain-computer
  interfaces: a review and design space

Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space

20 December 2023
Param S. Rajpura
H. Cecotti
Y. Meena
ArXivPDFHTML

Papers citing "Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space"

5 / 5 papers shown
Title
Quantifying Spatial Domain Explanations in BCI using Earth Mover's
  Distance
Quantifying Spatial Domain Explanations in BCI using Earth Mover's Distance
Param S. Rajpura
H. Cecotti
Y. Meena
19
0
0
02 May 2024
Towards Optimising EEG Decoding using Post-hoc Explanations and Domain
  Knowledge
Towards Optimising EEG Decoding using Post-hoc Explanations and Domain Knowledge
Param S. Rajpura
Y. Meena
14
0
0
02 May 2024
Feature Importance: A Closer Look at Shapley Values and LOCO
Feature Importance: A Closer Look at Shapley Values and LOCO
I. Verdinelli
Larry A. Wasserman
FAtt
TDI
14
20
0
10 Mar 2023
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
Upol Ehsan
Mark O. Riedl
XAI
SILM
49
56
0
26 Sep 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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