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:
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodríguez, et al.
Information Fusion (2020) Vol. 67, pp. 161-194
Open Access | Times Cited: 31
Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodríguez, et al.
Information Fusion (2020) Vol. 67, pp. 161-194
Open Access | Times Cited: 31
Showing 26-50 of 31 citing articles:
Evolutionary Neural Architecture Search and Its Applications in Healthcare
Xin Liu, Jie Li, Jianwei Zhao, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 1, pp. 143-185
Open Access | Times Cited: 1
Xin Liu, Jie Li, Jianwei Zhao, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 1, pp. 143-185
Open Access | Times Cited: 1
Evolutionary Multi-Objective Quantization of Randomization-Based Neural Networks
Javier Del Ser, Alain Andrés, Miren Nekane Bilbao, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1346-1351
Closed Access | Times Cited: 1
Javier Del Ser, Alain Andrés, Miren Nekane Bilbao, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 1346-1351
Closed Access | Times Cited: 1
EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 2288-2295
Closed Access | Times Cited: 3
Unai Garciarena, Roberto Santana, Alexander Mendiburu
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2020), pp. 2288-2295
Closed Access | Times Cited: 3
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
Javier Poyatos, Daniel Molina, Aritz D. Martinez, et al.
arXiv (Cornell University) (2022)
Open Access
Javier Poyatos, Daniel Molina, Aritz D. Martinez, et al.
arXiv (Cornell University) (2022)
Open Access
EvoMLP: A Framework for Evolving Multilayer Perceptrons
Luis Liñán-Villafranca, Mario García-Valdéz, J. J. Merelo, et al.
Lecture notes in computer science (2021), pp. 330-342
Closed Access
Luis Liñán-Villafranca, Mario García-Valdéz, J. J. Merelo, et al.
Lecture notes in computer science (2021), pp. 330-342
Closed Access
