
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:
Understanding AutoML search spaces with local optima networks
Matheus Cândido Teixeira, Gisele L. Pappa
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 449-457
Closed Access | Times Cited: 7
Matheus Cândido Teixeira, Gisele L. Pappa
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 449-457
Closed Access | Times Cited: 7
Showing 7 citing articles:
Improving Automated Machine-Learning Systems through Green AI
Dagoberto Castellanos–Nieves, Luis García-Forte
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11583-11583
Open Access | Times Cited: 6
Dagoberto Castellanos–Nieves, Luis García-Forte
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11583-11583
Open Access | Times Cited: 6
Channel Configuration for Neural Architecture: Insights from the Search Space
Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1267-1275
Open Access | Times Cited: 2
Sarah L. Thomson, Gabriela Ochoa, Nadarajen Veerapen, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1267-1275
Open Access | Times Cited: 2
From Fitness Landscapes to Explainable AI and Back
Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, et al.
(2023), pp. 1663-1667
Open Access | Times Cited: 2
Sarah L. Thomson, Jason Adair, Alexander E. I. Brownlee, et al.
(2023), pp. 1663-1667
Open Access | Times Cited: 2
A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour
Angus Kenny, Tapabrata Ray, Steffen Limmer, et al.
Lecture notes in computer science (2024), pp. 115-129
Closed Access
Angus Kenny, Tapabrata Ray, Steffen Limmer, et al.
Lecture notes in computer science (2024), pp. 115-129
Closed Access
Analysis of Neutrality of AutoML Search Spaces with Local Optima Networks
Matheus Cândido Teixeira, Gisele L. Pappa
Lecture notes in computer science (2022), pp. 473-487
Closed Access | Times Cited: 3
Matheus Cândido Teixeira, Gisele L. Pappa
Lecture notes in computer science (2022), pp. 473-487
Closed Access | Times Cited: 3
Explaining evolutionary feature selection via local optima networks
Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1573-1581
Open Access
Jason Adair, Sarah L. Thomson, Alexander E. I. Brownlee
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1573-1581
Open Access
On the Effect of Solution Representation and Neighborhood Definition in AutoML Fitness Landscapes
Matheus Cândido Teixeira, Gisele L. Pappa
Lecture notes in computer science (2023), pp. 227-243
Closed Access | Times Cited: 1
Matheus Cândido Teixeira, Gisele L. Pappa
Lecture notes in computer science (2023), pp. 227-243
Closed Access | Times Cited: 1