Inés María Galván

According to our database, Inés María Galván authored at least 63 papers between 1997 and 2023.

Collaborative distances:

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

2023

A combination of supervised dimensionality reduction and learning methods to forecast solar radiation.

Esteban García-Cuesta, Ricardo Aler, David Pozo-Vázquez, Inés María Galván

Appl. Intell., June, 2023

Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques.

Miguel López-Cuesta, Ricardo Aler, Inés María Galván, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez

Remote. Sens., May, 2023

Deep neural networks for the quantile estimation of regional renewable energy production.

Antonio Alcántara, Inés María Galván, Ricardo Aler

Appl. Intell., April, 2023

Pareto Optimal Prediction Intervals with Hypernetworks.

Antonio Alcántara, Inés María Galván, Ricardo Aler

Appl. Soft Comput., January, 2023

2022

Using a Multi-view Convolutional Neural Network to monitor solar irradiance.

Javier Huertas-Tato, Inés María Galván, Ricardo Aler, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez

Neural Comput. Appl., 2022

Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks.

Antonio Alcántara, Inés María Galván, Ricardo Aler

Eng. Appl. Artif. Intell., 2022

2021

Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems.

José María Valls, Ricardo Aler, Inés María Galván, David Camacho

J. Ambient Intell. Humaniz. Comput., 2021

Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types.

Inés María Galván, Javier Huertas-Tato, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Ricardo Aler

Appl. Soft Comput., 2021

2018

A filter attribute selection method based on local reliable information.

Ricardo Martín, Ricardo Aler, Inés María Galván

Appl. Intell., 2018

A Comparative Study of Classical Clustering Method and Cuckoo Search Approach for Satellite Image Clustering: Application to Water Body Extraction.

Kaouter Labed, Fizazi Hadria, Habib Mahi, Inés María Galván

Appl. Artif. Intell., 2018

Wind Energy Forecasting at Different Time Horizons with Individual and Global Models.

Rubén Martín-Vázquez, Ricardo Aler, Inés María Galván

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals.

Rubén Martín-Vázquez, Javier Huertas-Tato, Ricardo Aler, Inés María Galván

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Predicting Global Irradiance Combining Forecasting Models Through Machine Learning.

Javier Huertas-Tato, Ricardo Aler, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Inés María Galván

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks.

Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler

Inf. Sci., 2017

A Study on Feature Selection Methods for Wind Energy Prediction.

Rubén Martín-Vázquez, Ricardo Aler, Inés María Galván

Proceedings of the Advances in Computational Intelligence, 2017

2016

Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models.

R. Martin, Ricardo Aler, José María Valls, Inés María Galván

Concurr. Comput. Pract. Exp., 2016

2015

Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach.

Ricardo Aler, Inés María Galván

Expert Syst. Appl., 2015

2014

Extended mean-variance model for reliable evolutionary portfolio optimization.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

AI Commun., 2014

A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models.

Ricardo Aler, Ricardo Martín, José María Valls, Inés María Galván

Proceedings of the Intelligent Distributed Computing VIII, 2014

2013

Multiobjective Algorithms with Resampling for Portfolio Optimization.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

Comput. Informatics, 2013

2012

Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces.

Ricardo Aler, Inés María Galván, José María Valls

Inf. Sci., 2012

Time-stamped resampling for robust evolutionary portfolio optimization.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

Expert Syst. Appl., 2012

2011

Recursive Discriminant Regression Analysis to Find Homogeneous Groups.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Int. J. Neural Syst., 2011

A lazy learning approach for building classification models.

Inés María Galván, José María Valls, Miguel García, Pedro Isasi

Int. J. Intell. Syst., 2011

Portfolio Optimization Using SPEA2 with Resampling.

Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010

Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data.

Sandra García-Rodríguez, Ricardo Aler, Inés María Galván

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Evolving spatial and frequency selection filters for Brain-Computer Interfaces.

Ricardo Aler, Inés María Galván, José María Valls

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

IEEE Trans. Syst. Man Cybern. Part B, 2009

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems.

Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela

New Gener. Comput., 2009

Supervised clustering via principal component analysis in a retrieval application.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks.

Sandra García-Rodríguez, Cristóbal Luque, Alejandro Cervantes, Inés María Galván

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

A Lazy Approach for Machine Learning Algorithms.

Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi

Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Discriminant Regression Analysis to Find Homogeneous Structures.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms.

Carlos Segura, Alejandro Cervantes, Antonio J. Nebro, María Dolores Jaraíz-Simón, Eduardo Segredo, Sandra García-Rodríguez, Francisco Luna, Juan Antonio Gómez Pulido, Gara Miranda, Cristóbal Luque, Enrique Alba, Miguel Ángel Vega Rodríguez, Coromoto León, Inés María Galván

Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Transition Detection for Brain Computer Interface Classification.

Ricardo Aler, Inés María Galván, José María Valls

Proceedings of the Biomedical Engineering Systems and Technologies, 2009

Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window.

Ricardo Aler, Inés María Galván, José María Valls

Proceedings of the BIOSIGNALS 2009, 2009

2008

Learning radial basis neural networks in a lazy way: A comparative study.

José María Valls, Inés María Galván, Pedro Isasi Viñuela

Neurocomputing, 2008

Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Eng. Appl. Artif. Intell., 2008

2007

LRBNN: A Lazy Radial Basis Neural Network model.

José María Valls, Inés María Galván, Pedro Isasi

AI Commun., 2007

Building Nearest Prototype Classifiers Using a Michigan Approach PSO.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

An Adaptive Michigan Approach PSO for Nearest Prototype Classification.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the Nature Inspired Problem-Solving Methods in Knowledge Engineering, 2007

2006

Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function.

José María Valls, Inés María Galván, Pedro Isasi Viñuela

Comput. Artif. Intell., 2006

Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Lazy Training of Radial Basis Neural Networks.

José María Valls, Inés María Galván, Pedro Isasi

Proceedings of the Artificial Neural Networks, 2006

2005

Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures.

Germán Gutiérrez, Araceli Sanchis, Pedro Isasi Viñuela, José M. Molina, Inés María Galván

Comput. Artif. Intell., 2005

A First Attempt at Constructing Genetic Programming Expressions for EEG Classification.

César Estébanez, José María Valls, Ricardo Aler, Inés María Galván

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles.

Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm.

Alejandro Cervantes, Inés María Galván, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models.

José María Valls, Inés María Galván, Pedro Isasi

Neural Process. Lett., 2004

2003

A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks.

Pedro Isasi, José María Valls, Inés María Galván

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks.

José María Valls, Inés María Galván, Pedro Isasi

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

Modified Self-organizing Maps for Line Extraction in Digitized Text Documents.

Juan Manuel Alonso-Weber, Inés María Galván, Araceli Sanchis de Miguel

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2002

Generative Capacities of Cellular Automata Codification for Evolution of NN Codification.

Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchis

Proceedings of the Artificial Neural Networks, 2002

Generative capacities of grammars codification for evolution of NN architectures.

M. A. Guinea, Germán Gutiérrez, Inés María Galván, Araceli Sanchis, José M. Molina

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting.

Inés María Galván, Pedro Isasi

Neural Process. Lett., 2001

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks.

Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls

Int. J. Neural Syst., 2001

Optimizing the Number of Learning Cycles in the Design of Radial Basis Neural Networks Using a Multi-Agent System.

José M. Molina, Inés María Galván, José María Valls, Andrés Leal

Comput. Artif. Intell., 2001

Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures.

Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchis, Inés María Galván

Proceedings of the Connectionist Models of Neurons, 2001

Deferring the Learning for Better Generalization in Radial Basis Neural Networks.

José María Valls, Pedro Isasi, Inés María Galván

Proceedings of the Artificial Neural Networks, 2001

2000

Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas.

José María Valls, José M. Molina, Inés María Galván

Inteligencia Artif., 2000

Grammars and cellular automata for evolving neural networks architectures.

José M. Molina, Inés María Galván, Pedro Isasi, Araceli Sanchis

Proceedings of the IEEE International Conference on Systems, 2000

1997

Nuevos modelos de redes de neuronas artificiales para simulación y control desistemas dinámicos.

Inés María Galván

PhD thesis, 1997

Improving Inverse Control on Real Time by Means of Neural Networks.

D. Barrios, Inés María Galván, P. Jsasi, J. Ríos

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997