Publicaciones
A Showcase of the Use of Autoencoders in Feature Learning Applications,
, International Work-Conference on the Interplay Between Natural and Artificial Computation, 05/2019, p.412-421, (2019)
Automating Autoencoder Architecture Configuration: An Evolutionary Approach,
, International Work-Conference on the Interplay Between Natural and Artificial Computation, 05/2019, p.339-349, (2019)
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges,
, Neurocomputing, Volume 404, p.93-107, (2020)
1-s2.0-S092523122030624X-main.pdf (0 bytes)
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications,
, Neurocomputing, Volume 410, p.237-270, (2020)
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines,
, Information Fusion, 02/2020, Volume 54, p.44-60, (2020)
1-s2.0-S1566253519300880-main.pdf (895.14 KB)
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders,
, Information Sciences, Volume 565, p.146-176, (2021)
1-s2.0-S0020025521002024-main.pdf (1.79 MB)