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2020 – today
- 2022
[j3]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): 1993-2006 (2022)- [j2]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): 11691-11705 (2022)
2010 – 2019
- 2019
- [c4]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: 1-5 - 2018
- [j1]Carlos Dafonte, Daniel Garabato, Marco Antonio Álvarez, Minia Manteiga:
Distributed Fast Self-Organized Maps for Massive Spectrophotometric Data Analysis. Sensors 18(5): 1419 (2018) - 2017
- [c3]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: 840-852 - 2016
- [c2]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: 137-144 - [i1]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 abs/1607.05954 (2016) - 2015
- [c1]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
Coauthor Index
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