Inés María Galván
Orcid: 0000-0002-8490-7296
According to our database1,
Inés María Galván
authored at least 65 papers
between 1997 and 2025.
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Online presence:
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Bibliography
2025
Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study.
Comput. Biol. Medicine, 2025
2023
A combination of supervised dimensionality reduction and learning methods to forecast solar radiation.
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.
Remote. Sens., May, 2023
Deep neural networks for the quantile estimation of regional renewable energy production.
Appl. Intell., April, 2023
Appl. Soft Comput., January, 2023
2022
Neural Comput. Appl., 2022
Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks.
Eng. Appl. Artif. Intell., 2022
2021
Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems.
J. Ambient Intell. Humaniz. Comput., 2021
Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types.
Appl. Soft Comput., 2021
2018
Appl. Intell., 2018
A Comparative Study of Classical Clustering Method and Cuckoo Search Approach for Satellite Image Clustering: Application to Water Body Extraction.
Appl. Artif. Intell., 2018
Wind Energy Forecasting at Different Time Horizons with Individual and Global Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
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.
Inf. Sci., 2017
Proceedings of the Advances in Computational Intelligence, 2017
2016
Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models.
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.
Expert Syst. Appl., 2015
2014
AI Commun., 2014
A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models.
Proceedings of the Intelligent Distributed Computing VIII, 2014
2013
Comput. Informatics, 2013
2012
Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces.
Inf. Sci., 2012
Expert Syst. Appl., 2012
2011
Int. J. Neural Syst., 2011
Int. J. Intell. Syst., 2011
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011
2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems.
New Gener. Comput., 2009
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.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009
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.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009
Proceedings of the Biomedical Engineering Systems and Technologies, 2009
Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window.
Proceedings of the BIOSIGNALS 2009, 2009
2008
Neurocomputing, 2008
Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem.
Eng. Appl. Artif. Intell., 2008
2007
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007
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.
Comput. Artif. Intell., 2006
Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Artificial Neural Networks, 2006
2005
Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures.
Comput. Artif. Intell., 2005
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models.
Neural Process. Lett., 2004
Studying the capacity of cellular encoding to generate feedforward neural network topologies.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
2003
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.
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.
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.
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting.
Neural Process. Lett., 2001
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks.
Int. J. Neural Syst., 2001
Optimizing the Number of Learning Cycles in the Design of Radial Basis Neural Networks Using a Multi-Agent System.
Comput. Artif. Intell., 2001
Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures.
Proceedings of the Connectionist Models of Neurons, 2001
Proceedings of the Artificial Neural Networks, 2001
2000
Inteligencia Artif., 2000
Proceedings of the IEEE International Conference on Systems, 2000
1997
Nuevos modelos de redes de neuronas artificiales para simulación y control desistemas dinámicos.
PhD thesis, 1997
Improving Inverse Control on Real Time by Means of Neural Networks.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997