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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
Niki van Stein
David Walker
Ting-Kuei Hu
ArXivPDFHTML

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

18 / 18 papers shown
Title
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for
  Importance of Variables
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables
Manjinder Singh
Alexander E. I. Brownlee
David Cairns
45
13
0
31 May 2022
Neural Network Pruning by Cooperative Coevolution
Neural Network Pruning by Cooperative Coevolution
Haopu Shang
Jia-Liang Wu
Wenjing Hong
Chaojun Qian
VLM
13
23
0
12 Apr 2022
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective
  Multi-Modal Optimization
Obtaining Smoothly Navigable Approximation Sets in Bi-Objective Multi-Modal Optimization
Renzo J. Scholman
A. Bouter
L. Dickhoff
Tanja Alderliesten
Peter A. N. Bosman
45
3
0
17 Mar 2022
Explainable Landscape-Aware Optimization Performance Prediction
Explainable Landscape-Aware Optimization Performance Prediction
R. Trajanov
Stefan Dimeski
Martin Popovski
Peter Korošec
T. Eftimov
35
16
0
22 Oct 2021
Genetic Programming for Manifold Learning: Preserving Local Topology
Genetic Programming for Manifold Learning: Preserving Local Topology
Andrew Lensen
Bing Xue
Mengjie Zhang
16
9
0
23 Aug 2021
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming
Henrik D. Mettler
Maximilian Schmidt
Walter Senn
Mihai A. Petrovici
Jakob Jordan
14
7
0
08 Feb 2021
Evolutionary learning of interpretable decision trees
Evolutionary learning of interpretable decision trees
Leonardo Lucio Custode
Giovanni Iacca
OffRL
51
40
0
14 Dec 2020
Questioning the AI: Informing Design Practices for Explainable AI User
  Experiences
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
80
709
0
08 Jan 2020
On Explaining Machine Learning Models by Evolving Crucial and Compact
  Features
On Explaining Machine Learning Models by Evolving Crucial and Compact Features
M. Virgolin
Tanja Alderliesten
Peter A. N. Bosman
21
28
0
04 Jul 2019
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
342
921
0
21 Apr 2018
The Surprising Creativity of Digital Evolution: A Collection of
  Anecdotes from the Evolutionary Computation and Artificial Life Research
  Communities
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Joel Lehman
Jeff Clune
D. Misevic
C. Adami
L. Altenberg
...
Danesh Tarapore
S. Thibault
Westley Weimer
R. Watson
Jason Yosinksi
92
279
0
09 Mar 2018
Interpretable Policies for Reinforcement Learning by Genetic Programming
Interpretable Policies for Reinforcement Learning by Genetic Programming
D. Hein
Steffen Udluft
Thomas Runkler
OffRL
22
131
0
12 Dec 2017
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
48
2,332
0
01 Nov 2017
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
210
4,229
0
22 Jun 2017
Data-Efficient Exploration, Optimization, and Modeling of Diverse
  Designs through Surrogate-Assisted Illumination
Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination
Adam Gaier
A. Asteroth
Jean-Baptiste Mouret
35
48
0
13 Feb 2017
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
93
3,672
0
10 Jun 2016
Illuminating search spaces by mapping elites
Illuminating search spaces by mapping elites
Jean-Baptiste Mouret
Jeff Clune
46
728
0
20 Apr 2015
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
211
1,130
0
25 Jul 2012
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