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MeLIME: Meaningful Local Explanation for Machine Learning Models

MeLIME: Meaningful Local Explanation for Machine Learning Models

12 September 2020
T. Botari
Frederik Hvilshoj
Rafael Izbicki
A. Carvalho
    AAML
    FAtt
ArXivPDFHTML

Papers citing "MeLIME: Meaningful Local Explanation for Machine Learning Models"

6 / 6 papers shown
Title
Model interpretation using improved local regression with variable
  importance
Model interpretation using improved local regression with variable importance
Gilson Y. Shimizu
Rafael Izbicki
A. Carvalho
FAtt
10
3
0
12 Sep 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of
  Explanations
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Aparna Balagopalan
Haoran Zhang
Kimia Hamidieh
Thomas Hartvigsen
Frank Rudzicz
Marzyeh Ghassemi
40
78
0
06 May 2022
On Locality of Local Explanation Models
On Locality of Local Explanation Models
Sahra Ghalebikesabi
Lucile Ter-Minassian
Karla Diaz-Ordaz
Chris Holmes
FedML
FAtt
28
39
0
24 Jun 2021
Contrastive Explanations for Explaining Model Adaptations
Contrastive Explanations for Explaining Model Adaptations
André Artelt
Fabian Hinder
Valerie Vaquet
Robert Feldhans
Barbara Hammer
54
4
0
06 Apr 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
22
396
0
19 Oct 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
340
10,633
0
19 Feb 2017
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