$EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search$

EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search

15 January 2023

Antonio J. Rivera

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Papers citing "EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search"

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Title
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects Javier Poyatos Javier Del Ser Salvador Garcia H. Ishibuchi Daniel Molina I. Triguero Bing Xue Xin Yao Francisco Herrera 97 1 0 03 Jun 2024
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders Daniel Dimanov E. Balaguer-Ballester Colin Singleton Shahin Rostami 42 7 0 07 Jun 2021
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-Rodriguez E. Osaba Javier Poyatos Siham Tabik Daniel Molina Francisco Herrera 129 28 0 09 Aug 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 111 136 0 09 Jun 2020