Daniel Garabato

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 7

Top Topics

Visualization Tool

Learning Algorithm

Unsupervised Clustering

Top Venues

Neural Comput. Appl.

Publications

Marco Antonio Álvarez, Carlos Dafonte, Minia Manteiga, Daniel Garabato, Raúl Santoveña
GUASOM: an adaptive visualization tool for unsupervised clustering in spectrophotometric astronomical surveys. Neural Comput. Appl. 34 (3) (2022)
Daniel Garabato, Carlos Dafonte, Raúl Santoveña, Arturo Silvelo, Francisco Javier Nóvoa, Minia Manteiga
AI-based user authentication reinforcement by continuous extraction of behavioral interaction features. Neural Comput. Appl. 34 (14) (2022)
Manuel F. López-Vizcaíno, Carlos Dafonte, Francisco Javier Nóvoa, Daniel Garabato, Marco Antonio Álvarez, Diego Fernández
Network Data Flow Clustering based on Unsupervised Learning. NCA (2019)
Carlos Dafonte, Daniel Garabato, Marco Antonio Álvarez, Minia Manteiga
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis. Sensors 18 (5) (2018)
Daniel Garabato, Carlos Dafonte, Marco Antonio Álvarez, Minia Manteiga
Distributed Unsupervised Clustering for Outlier Analysis in the Biggest Milky Way Survey: ESA Gaia Mission. UCAmI (2017)
Marco Antonio Álvarez, Carlos Dafonte, Daniel Garabato, Minia Manteiga
Analysis and Knowledge Discovery by Means of Self-Organizing Maps for Gaia Data Releases. ICONIP (4) (2016)
Carlos Dafonte, Diego Fustes, Minia Manteiga, Daniel Garabato, Marco Antonio Álvarez, Ana Ulla, C. Allende Prieto
On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra. CoRR (2016)
Daniel Garabato, Carlos Dafonte, Minia Manteiga, Diego Fustes, Marco Antonio Álvarez, Bernardino Arcay Varela
A distributed learning algorithm for Self-Organizing Maps intended for outlier analysis in the GAIA - ESA mission. IFSA-EUSFLAT (2015)