Publications
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Type [ Year] Filters: Keyword is Autoencoders and Author is Francisco Charte [Clear All Filters]
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)
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)
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)