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Developing a Fidelity Evaluation Approach for Interpretable Machine
  Learning

Developing a Fidelity Evaluation Approach for Interpretable Machine Learning

16 June 2021
M. Velmurugan
Chun Ouyang
Catarina Moreira
Renuka Sindhgatta
    XAI
ArXivPDFHTML

Papers citing "Developing a Fidelity Evaluation Approach for Interpretable Machine Learning"

5 / 5 papers shown
Title
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
62
28
0
30 Aug 2024
Towards a Comprehensive Human-Centred Evaluation Framework for
  Explainable AI
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán
Jeroen Ooge
Denis Parra
K. Verbert
29
5
0
31 Jul 2023
A New Perspective on Evaluation Methods for Explainable Artificial
  Intelligence (XAI)
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith
Markus Langer
22
12
0
26 Jul 2023
An Interpretable Probabilistic Approach for Demystifying Black-box
  Predictive Models
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models
Catarina Moreira
Yu-Liang Chou
M. Velmurugan
Chun Ouyang
Renuka Sindhgatta
P. Bruza
21
57
0
21 Jul 2020
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,672
0
28 Feb 2017
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