Luis González Vilas

According to our database, Luis González Vilas authored at least 6 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

A New Algorithm Using Support Vector Machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia from OLCI Data.

Luis González Vilas, Evangelos Spyrakos, Yolanda Pazos, Jesus M. Torres Palenzuela

Remote. Sens., January, 2024

2021

Machine Learning Methods Applied to the Prediction of Pseudo-nitzschia spp. Blooms in the Galician Rias Baixas (NW Spain).

Francisco M. Bellas Aláez, Jesus M. Torres Palenzuela, Evangelos Spyrakos, Luis González Vilas

ISPRS Int. J. Geo Inf., 2021

2019

NOO3D: A procedure to perform 3D species distribution models.

Elisa Pérez-Costas, Cástor Guisande, Luis González Vilas, Emilio García Roselló, Jürgen Heine, Jacinto González Dacosta, Jorge M. Lobo

Ecol. Informatics, 2019

SINENVAP: An algorithm that employs kriging to identify optimal spatial interpolation models in polygons.

Cástor Guisande, Andrés J. Rueda-Quecho, Fabián A. Rangel-Silva, Jürgen Heine, Emilio García Roselló, Jacinto González Dacosta, Luis González Vilas, Patricia Pelayo-Villamil

Ecol. Informatics, 2019

2017

SPEDInstabR: An algorithm based on a fluctuation index for selecting predictors in species distribution modeling.

Cástor Guisande, Emilio García Roselló, Jürgen Heine, Jacinto González Dacosta, Luis González Vilas, Baltasar J. García Pérez, Jorge M. Lobo

Ecol. Informatics, 2017

2016

Geospatial data of freshwater habitats for macroecological studies: an example with freshwater fishes.

Luis González Vilas, Cástor Guisande, Richard P. Vari, Patricia Pelayo-Villamil, Ana Manjarrés-Hernández, Emilio García Roselló, Jacinto González Dacosta, Jürgen Heine, Elisa Pérez-Costas, Carlos Granado-Lorencio, Antoni Palau-Ibars, Jorge M. Lobo

Int. J. Geogr. Inf. Sci., 2016