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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Spatial Coevolution for Generative Adversarial Network Training
Erik Hemberg, Jamal Toutouh, Abdullah Al-Dujaili, et al.
ACM Transactions on Evolutionary Learning and Optimization (2021) Vol. 1, Iss. 2, pp. 1-28
Open Access | Times Cited: 15

Showing 15 citing articles:

Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification
Jamal Toutouh, Subhash Nalluru, Erik Hemberg, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110890-110890
Open Access | Times Cited: 5
Parallel/Distributed Intelligent Hyperparameters Search for Generative Artificial Neural Networks
Mathías Esteban, Jamal Toutouh, Sergio Nesmachnow
Lecture notes in computer science (2021), pp. 297-313
Open Access | Times Cited: 6
Analysis of a Pairwise Dominance Coevolutionary Algorithm with Spatial Topology
Mario Alejandro Hevia Fajardo, Per Kristian Lehre, Jamal Toutouh, et al.
Genetic and evolutionary computation (2024), pp. 19-44
Closed Access
Cooperative Coevolutionary Spatial Topologies for Autoencoder Training
Erik Hemberg, Una-May O’Reilly, Jamal Toutouh
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 331-339
Closed Access
Ranking Diversity Benefits Coevolutionary Algorithms on an Intransitive Game
Mario Alejandro Hevia Fajardo, Per Kristian Lehre
Lecture notes in computer science (2024), pp. 213-229
Closed Access
Coevolutionary Computation for Adversarial Deep Learning
Jamal Toutouh, Una-May O’Reilly
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024) Vol. 25, pp. 1410-1431
Closed Access
Evolutionary Art and Design in the Machine Learning Era
Penousal Machado, João Correia
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024) Vol. 4, pp. 1460-1501
Closed Access
GP-Based Generative Adversarial Models
Penousal Machado, Francisco Baeta, Tiago Martins, et al.
Genetic and evolutionary computation (2023), pp. 117-140
Closed Access | Times Cited: 1
Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks
Jamal Toutouh, Subhash Nalluru, Erik Hemberg, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 568-576
Open Access | Times Cited: 1
Evolving SimGANs to improve abnormal electrocardiogram classification
Gabriel Wang, Anish Thite, Rodd Talebi, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1887-1894
Open Access | Times Cited: 2
Coevolutionary Computation for Adversarial Deep Learning
Jamal Toutouh, Una-May O’Reilly
(2023), pp. 1379-1398
Open Access
Adversarial Evolutionary Learning with Distributed Spatial Coevolution
Jamal Toutouh, Erik Hemberg, Una-May O’Reilly
Genetic and evolutionary computation (2023), pp. 397-435
Closed Access
Evolutionary Generative Models
João Correia, Francisco Baeta, Tiago Martins
Genetic and evolutionary computation (2023), pp. 283-329
Closed Access
Coevolutionary computation for adversarial deep learning
Jamal Toutouh, Una-May O’Reilly
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1487-1505
Open Access
Coevolutionary computation for adversarial deep learning
Jamal Toutouh, Una-May O’Reilly
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2021), pp. 983-1001
Open Access
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