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Evolutionary Computation and Explainable AI: A Roadmap to Transparent
  Intelligent Systems

Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems

12 June 2024
Ryan Zhou
Jaume Bacardit
Alexander Brownlee
Stefano Cagnoni
Martin Fyvie
Giovanni Iacca
John Mccall
N. V. Stein
David Walker
Ting-Kuei Hu
ArXivPDFHTML

Papers citing "Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems"

6 / 6 papers shown
Title
Does mapping elites illuminate search spaces? A large-scale user study
  of MAP--Elites applied to human--AI collaborative design
Does mapping elites illuminate search spaces? A large-scale user study of MAP--Elites applied to human--AI collaborative design
S. P. Walton
Ben J. Evans
Alma A. M. Rahat
James Stovold
Jakub Vincalek
21
2
0
30 Jan 2024
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating
  AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
Diederick Vermetten
Furong Ye
Thomas Bäck
Carola Doerr
21
10
0
18 Jun 2023
GeCo: Quality Counterfactual Explanations in Real Time
GeCo: Quality Counterfactual Explanations in Real Time
Maximilian Schleich
Zixuan Geng
Yihong Zhang
D. Suciu
32
61
0
05 Jan 2021
Model Interpretability through the Lens of Computational Complexity
Model Interpretability through the Lens of Computational Complexity
Pablo Barceló
Mikaël Monet
Jorge A. Pérez
Bernardo Subercaseaux
114
93
0
23 Oct 2020
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
233
909
0
21 Apr 2018
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
152
1,123
0
25 Jul 2012
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