Ignacio Barrio

According to our database, Ignacio Barrio authored at least 12 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Small data deep learning methodology for in-field disease detection.

David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos

CoRR, 2024

Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions.

Rubén Íñiguez, Salvador Gutiérrez, Carlos Poblete-Echeverría, Inés Hernández, Ignacio Barrio, Javier Tardáguila

Comput. Electron. Agric., 2024

In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine.

Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, Rubén Íñiguez, Javier Tardáguila

Comput. Electron. Agric., 2024

2021

Monitoring and Mapping Vineyard Water Status Using Non-Invasive Technologies by a Ground Robot.

Juan Fernández-Novales, Verónica Sáiz-Rubio, Ignacio Barrio, Francisco Rovira-Más, Andrés Cuenca-Cuenca, Fernando Alves, Joana Valente, Javier Tardáguila, María-Paz Diago

Remote. Sens., 2021

Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions.

Salvador Gutiérrez, Inés Hernández, Sara Ceballos, Ignacio Barrio, Ana Díez Navajas, Javier Tardáguila

Comput. Electron. Agric., 2021

2018

vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis.

Arturo Aquino, Ignacio Barrio, María-Paz Diago, Borja Millán, Javier Tardáguila

Comput. Electron. Agric., 2018

2009

An experimental study on methods for the selection of basis functions in regression.

Ignacio Barrio, Enrique Romero, Lluís Belanche

Neurocomputing, 2009

2007

Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression.

Ignacio Barrio, Enrique Romero, Lluís Belanche

Proceedings of the International Joint Conference on Neural Networks, 2007

Incremental and Decremental Learning for Linear Support Vector Machines.

Enrique Romero, Ignacio Barrio, Lluís Belanche

Proceedings of the Artificial Neural Networks, 2007

Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors.

Ignacio Barrio, Enrique Romero, Lluís Belanche

Proceedings of the Artificial Neural Networks, 2007

Selection of Basis Functions Guided by the L2 Soft Margin.

Ignacio Barrio, Enrique Romero, Lluís Belanche

Proceedings of the Artificial Neural Networks, 2007

2006

On the selection of hidden neurons with heuristic search strategies for approximation.

Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006