Minia Manteiga

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 10

Top Topics

User Authentication

Visualization Tool

Top Venues

Neural Comput. Appl.

Publications

Daniel Boubeta, Carlos Dafonte, Eduard Masana, Ana Ulla, Alejandro Mosteiro Vázquez, Minia Manteiga
FreeDSM: An Open IoT Platform for Ambient Light Pollution Monitoring. UCAmI (3) (2023)
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)
Arturo Silvelo, Carlos Dafonte, Daniel Boubeta, Ana Ulla, Minia Manteiga, Eduard Masana
FreeDSM: An Open IoT Device for Citizen Light Pollution Monitoring. UCAmI (2022)
Carlos Dafonte, Alejandra Rodríguez, Minia Manteiga, Ángel Gómez, Bernardino Arcay Varela
A Blended Artificial Intelligence Approach for Spectral Classification of Stars in Massive Astronomical Surveys. Entropy 22 (5) (2020)
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)
Diego Fustes, Diego Cantorna, Carlos Dafonte, Bernardino Arcay Varela, Alfonso Iglesias, Minia Manteiga
A cloud-integrated web platform for marine monitoring using GIS and remote sensing. Application to oil spill detection through SAR images. Future Gener. Comput. Syst. 34 (2014)
Diego Fustes, Carlos Dafonte, Bernardino Arcay Varela, Minia Manteiga, Kester Smith, Antonella Vallenari, Xavier Luri
SOM ensemble for unsupervised outlier analysis. Application to outlier identification in the Gaia astronomical survey. Expert Syst. Appl. 40 (5) (2013)
Diego Fustes, Diego Cantorna, Carlos Dafonte, Alfonso Iglesias, Minia Manteiga, Bernardino Arcay Varela
Cloud Integrated Web Platform for Marine Monitoring Using GIS and Remote Sensing: Application to Oil Spill Detection through SAR Images. UCAmI (2012)
Diego Ordóñez, Carlos Dafonte, Bernardino Arcay Varela, Minia Manteiga
HSC: A multi-resolution clustering strategy in Self-Organizing Maps applied to astronomical observations. Appl. Soft Comput. 12 (1) (2012)
Diego Ordóñez, Carlos Dafonte, Minia Manteiga, Bernardino Arcay Varela
Parameterization of RVS synthetic stellar spectra for the ESA Gaia mission: Study of the optimal domain for ANN training. Expert Syst. Appl. 37 (2) (2010)
Diego Ordóñez, Carlos Dafonte, Minia Manteiga, Bernardino Arcay Varela
A Comparative Study of Stellar Spectra Analysis with Neural Networks in Transformed Domains. IDEAL (2009)
Diego Ordóñez, Carlos Dafonte, Bernardino Arcay Varela, Minia Manteiga
A Combination of Connectionist Systems and Evolutionary Computation Techniques to Achieve the Optimal Domain for Stellar Spectra Signal Processing. IJCCI (2009)
Diego Ordóñez, Carlos Dafonte, Minia Manteiga, Bernardino Arcay Varela
Outlier Analysis in BP/RP Spectral Bands. ICANN (2) (2009)
Diego Ordóñez, Carlos Dafonte, Minia Manteiga, Bernardino Arcay Varela
Parameter Extraction from RVS Stellar Spectra by Means of Artificial Neural Networks and Spectral Density Analysis. HAIS (2008)
Alejandra Rodríguez, Iciar Carricajo, Minia Manteiga, Carlos Dafonte, Bernardino Arcay Varela
STARMIND: Automated Classification of Astronomical Data Based on an Hybrid Strategy. HAIS (2008)
Alejandra Rodríguez, Carlos Dafonte, Bernardino Arcay Varela, Iciar Carricajo, Minia Manteiga
Hybrid Strategy for Automatic Stellar Classification. ANNIIP (2005)
Carlos Dafonte, Alejandra Rodríguez, Bernardino Arcay Varela, Iciar Carricajo, Minia Manteiga
A Comparative Study of KBS, ANN and Statistical Clustering Techniques for Unattended Stellar Classification. CIARP (2005)
Alejandra Rodríguez, Carlos Dafonte, Bernardino Arcay Varela, Iciar Carricajo, Minia Manteiga
An intelligent system for the spectral classification of stars - artificial neural networks vs. statistical clustering techniques. SMC (4) (2004)
Alejandra Rodríguez, Bernardino Arcay Varela, Carlos Dafonte, Minia Manteiga, Iciar Carricajo
Automated knowledge-based analysis and classification of stellar spectra using fuzzy reasoning. Expert Syst. Appl. 27 (2) (2004)
Alejandra Rodríguez, Iciar Carricajo, Carlos Dafonte, Bernardino Arcay Varela, Minia Manteiga
An Artificial Neural Networks Approach to the Estimation of Physical Stellar Parameters. AIAI (2004)
Alejandra Rodríguez, Carlos Dafonte, Bernardino Arcay Varela, Minia Manteiga
An Artificial Neural Network Approach to Automatic Classification of Stellar Spectra. IWANN (2) (2003)