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REVEL Framework to measure Local Linear Explanations for black-box
  models: Deep Learning Image Classification case of study

REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study

11 November 2022
Iván Sevillano-García
Julián Luengo-Martín
Francisco Herrera
    XAI
    FAtt
ArXivPDFHTML

Papers citing "REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study"

2 / 2 papers shown
Title
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
27
257
0
02 May 2023
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study
  with Biological Data
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological Data
Ludwig Schallner
Johannes Rabold
O. Scholz
Ute Schmid
FAtt
30
21
0
17 Oct 2019
1