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:
DENSER: deep evolutionary network structured representation
Filipe Assunção, Nuno Lourenço, Penousal Machado, et al.
Genetic Programming and Evolvable Machines (2018) Vol. 20, Iss. 1, pp. 5-35
Closed Access | Times Cited: 122
Filipe Assunção, Nuno Lourenço, Penousal Machado, et al.
Genetic Programming and Evolvable Machines (2018) Vol. 20, Iss. 1, pp. 5-35
Closed Access | Times Cited: 122
Showing 1-25 of 122 citing articles:
Automated Machine Learning
Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
The Springer series on challenges in machine learning (2019)
Closed Access | Times Cited: 1024
Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
The Springer series on challenges in machine learning (2019)
Closed Access | Times Cited: 1024
A Survey on Evolutionary Neural Architecture Search
Yuqiao Liu, Yanan Sun, Bing Xue, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 2, pp. 550-570
Open Access | Times Cited: 364
Yuqiao Liu, Yanan Sun, Bing Xue, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 2, pp. 550-570
Open Access | Times Cited: 364
A review of deep learning with special emphasis on architectures, applications and recent trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105596-105596
Open Access | Times Cited: 335
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105596-105596
Open Access | Times Cited: 335
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
Edgar Galván, Peter Mooney
IEEE Transactions on Artificial Intelligence (2021) Vol. 2, Iss. 6, pp. 476-493
Open Access | Times Cited: 123
Edgar Galván, Peter Mooney
IEEE Transactions on Artificial Intelligence (2021) Vol. 2, Iss. 6, pp. 476-493
Open Access | Times Cited: 123
Analysis of the AutoML Challenge Series 2015–2018
Isabelle Guyon, Lisheng Sun-Hosoya, Marc Boullé, et al.
The Springer series on challenges in machine learning (2019), pp. 177-219
Closed Access | Times Cited: 113
Isabelle Guyon, Lisheng Sun-Hosoya, Marc Boullé, et al.
The Springer series on challenges in machine learning (2019), pp. 177-219
Closed Access | Times Cited: 113
A Survey on Evolutionary Construction of Deep Neural Networks
Xun Zhou, A. K. Qin, Maoguo Gong, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 5, pp. 894-912
Open Access | Times Cited: 72
Xun Zhou, A. K. Qin, Maoguo Gong, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 5, pp. 894-912
Open Access | Times Cited: 72
Genetic programming in civil engineering: advent, applications and future trends
Qianyun Zhang, Kaveh Barri, Pengcheng Jiao, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 1863-1885
Closed Access | Times Cited: 65
Qianyun Zhang, Kaveh Barri, Pengcheng Jiao, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 3, pp. 1863-1885
Closed Access | Times Cited: 65
Evolutionary neural architecture search for remaining useful life prediction
Hyunho Mo, Leonardo Lucio Custode, Giovanni Iacca
Applied Soft Computing (2021) Vol. 108, pp. 107474-107474
Open Access | Times Cited: 41
Hyunho Mo, Leonardo Lucio Custode, Giovanni Iacca
Applied Soft Computing (2021) Vol. 108, pp. 107474-107474
Open Access | Times Cited: 41
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks
Javier Poyatos, Daniel Molina, Aritz D. Martinez, et al.
Neural Networks (2022) Vol. 158, pp. 59-82
Open Access | Times Cited: 32
Javier Poyatos, Daniel Molina, Aritz D. Martinez, et al.
Neural Networks (2022) Vol. 158, pp. 59-82
Open Access | Times Cited: 32
Creating deep neural networks for text classification tasks using grammar genetic programming
Dimmy Magalhães, Ricardo H. R. Lima, Aurora Pozo
Applied Soft Computing (2023) Vol. 135, pp. 110009-110009
Closed Access | Times Cited: 17
Dimmy Magalhães, Ricardo H. R. Lima, Aurora Pozo
Applied Soft Computing (2023) Vol. 135, pp. 110009-110009
Closed Access | Times Cited: 17
On the automated, evolutionary design of neural networks: past, present, and future
Alejandro Baldominos, Yago Sáez, Pedro Isasi
Neural Computing and Applications (2019) Vol. 32, Iss. 2, pp. 519-545
Closed Access | Times Cited: 52
Alejandro Baldominos, Yago Sáez, Pedro Isasi
Neural Computing and Applications (2019) Vol. 32, Iss. 2, pp. 519-545
Closed Access | Times Cited: 52
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm
Ayla Gülcü, Zeki Kuş
IEEE Access (2020) Vol. 8, pp. 52528-52540
Open Access | Times Cited: 43
Ayla Gülcü, Zeki Kuş
IEEE Access (2020) Vol. 8, pp. 52528-52540
Open Access | Times Cited: 43
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations
Daniel Molina, Javier Poyatos, Javier Del Ser, et al.
Cognitive Computation (2020) Vol. 12, Iss. 5, pp. 897-939
Open Access | Times Cited: 41
Daniel Molina, Javier Poyatos, Javier Del Ser, et al.
Cognitive Computation (2020) Vol. 12, Iss. 5, pp. 897-939
Open Access | Times Cited: 41
A Review on Convolutional Neural Network Encodings for Neuroevolution
Gustavo A. Vargas Hakim, Efrén Mezura‐Montes, Héctor‐Gabriel Acosta‐Mesa
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 12-27
Closed Access | Times Cited: 36
Gustavo A. Vargas Hakim, Efrén Mezura‐Montes, Héctor‐Gabriel Acosta‐Mesa
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 12-27
Closed Access | Times Cited: 36
Automated Design of Deep Neural Networks
El‐Ghazali Talbi
ACM Computing Surveys (2021) Vol. 54, Iss. 2, pp. 1-37
Closed Access | Times Cited: 32
El‐Ghazali Talbi
ACM Computing Surveys (2021) Vol. 54, Iss. 2, pp. 1-37
Closed Access | Times Cited: 32
Evolutionary neural architecture search based on evaluation correction and functional units
Ronghua Shang, Songling Zhu, Jinhong Ren, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109206-109206
Closed Access | Times Cited: 24
Ronghua Shang, Songling Zhu, Jinhong Ren, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109206-109206
Closed Access | Times Cited: 24
Automatic Design of Autoencoders Using NeuroEvolution
A. Almeida, Nuno Lourenço, Penousal Machado
Genetic and evolutionary computation (2025), pp. 107-132
Closed Access
A. Almeida, Nuno Lourenço, Penousal Machado
Genetic and evolutionary computation (2025), pp. 107-132
Closed Access
Evolved GANs for generating pareto set approximations
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Proceedings of the Genetic and Evolutionary Computation Conference (2018), pp. 434-441
Closed Access | Times Cited: 43
Unai Garciarena, Roberto Santana, Alexander Mendiburu
Proceedings of the Genetic and Evolutionary Computation Conference (2018), pp. 434-441
Closed Access | Times Cited: 43
Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning
Alejandro Baldominos, Yago Sáez, Pedro Isasi
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 40
Alejandro Baldominos, Yago Sáez, Pedro Isasi
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 40
Action unit analysis enhanced facial expression recognition by deep neural network evolution
Ruicong Zhi, Caixia Zhou, Tingting Li, et al.
Neurocomputing (2020) Vol. 425, pp. 135-148
Closed Access | Times Cited: 38
Ruicong Zhi, Caixia Zhou, Tingting Li, et al.
Neurocomputing (2020) Vol. 425, pp. 135-148
Closed Access | Times Cited: 38
Application of evolutionary and swarm optimization in computer vision: a literature survey
Takumi Nakane, Naranchimeg Bold, Haitian Sun, et al.
IPSJ Transactions on Computer Vision and Applications (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 35
Takumi Nakane, Naranchimeg Bold, Haitian Sun, et al.
IPSJ Transactions on Computer Vision and Applications (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 35
Evolutionary neural networks for deep learning: a review
Yongjie Ma, Yirong Xie
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 10, pp. 3001-3018
Closed Access | Times Cited: 19
Yongjie Ma, Yirong Xie
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 10, pp. 3001-3018
Closed Access | Times Cited: 19
A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain‐Machine Interaction
Jordan J. Bird, Diego R. Faria, Luis J. Manso, et al.
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 33
Jordan J. Bird, Diego R. Faria, Luis J. Manso, et al.
Complexity (2019) Vol. 2019, Iss. 1
Open Access | Times Cited: 33
A Survey on Evolutionary Neural Architecture Search
Yuqiao Liu, Yanan Sun, Bing Xue, et al.
(2020)
Closed Access | Times Cited: 31
Yuqiao Liu, Yanan Sun, Bing Xue, et al.
(2020)
Closed Access | Times Cited: 31
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
