Inés María Galván

65 papers B 5C 6Misc 4Journal 32Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study. Comput. Biol. Medicine Eric Freire-Álvarez, Inés Legarda Ramírez, Rocio García-Ramos, Fátima Carrillo, Diego Santos-García, Juan Carlos Gómez-Esteban, Juan Carlos Martínez-Castrillo, Irene Martínez-Torres, Carlos J. Madrid-Navarro, María José Pérez-Navarro, Fuensanta Valero-García, Bárbara Vives-Pastor, Laura Muñoz-Delgado, Beatriz Tijero, Carlos Morata Martínez, José M. Valls, Ricardo Aler, Inés María Galván, Francisco Escamilla-Sevilla
2023	J	`jnl`	A combination of supervised dimensionality reduction and learning methods to forecast solar radiation. Appl. Intell. Esteban García-Cuesta, Ricardo Aler, David Pozo-Vázquez, Inés María Galván
2023	J	`jnl`	Deep neural networks for the quantile estimation of regional renewable energy production. Appl. Intell. Antonio Alcántara, Inés María Galván, Ricardo Aler
2023	J	`jnl`	Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques. Remote. Sens. Miguel López-Cuesta, Ricardo Aler, Inés María Galván, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez
2023	J	`jnl`	Pareto Optimal Prediction Intervals with Hypernetworks. Appl. Soft Comput. Antonio Alcántara, Inés María Galván, Ricardo Aler
2022	J	`jnl`	Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks. Eng. Appl. Artif. Intell. Antonio Alcántara, Inés María Galván, Ricardo Aler
2022	J	`jnl`	Using a Multi-view Convolutional Neural Network to monitor solar irradiance. Neural Comput. Appl. Javier Huertas-Tato, Inés María Galván, Ricardo Aler, Francisco J. Rodríguez-Benítez, David Pozo-Vázquez
2021	J	`jnl`	Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. Appl. Soft Comput. Inés María Galván, Javier Huertas-Tato, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Ricardo Aler
2021	J	`jnl`	Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems. J. Ambient Intell. Humaniz. Comput. José María Valls, Ricardo Aler, Inés María Galván, David Camacho
2018	J	`jnl`	A Comparative Study of Classical Clustering Method and Cuckoo Search Approach for Satellite Image Clustering: Application to Water Body Extraction. Appl. Artif. Intell. Kaouter Labed, Fizazi Hadria, Habib Mahi, Inés María Galván
2018	J	`jnl`	A filter attribute selection method based on local reliable information. Appl. Intell. Ricardo Martín, Ricardo Aler, Inés María Galván
2018	Misc	`conf`	Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. HAIS Javier Huertas-Tato, Ricardo Aler, Francisco J. Rodríguez-Benítez, Clara Arbizu-Barrena, David Pozo-Vázquez, Inés María Galván
2018	—	`conf`	Studying the Effect of Measured Solar Power on Evolutionary Multi-objective Prediction Intervals. IDEAL (2) Rubén Martín-Vázquez, Javier Huertas-Tato, Ricardo Aler, Inés María Galván
2018	Misc	`conf`	Wind Energy Forecasting at Different Time Horizons with Individual and Global Models. AIAI Rubén Martín-Vázquez, Ricardo Aler, Inés María Galván
2017	—	`conf`	A Study on Feature Selection Methods for Wind Energy Prediction. IWANN (1) Rubén Martín-Vázquez, Ricardo Aler, Inés María Galván
2017	J	`jnl`	Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. Inf. Sci. Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler
2016	J	`jnl`	Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. Concurr. Comput. Pract. Exp. R. Martin, Ricardo Aler, José María Valls, Inés María Galván
2015	J	`jnl`	Optimizing the number of electrodes and spatial filters for Brain-Computer Interfaces by means of an evolutionary multi-objective approach. Expert Syst. Appl. Ricardo Aler, Inés María Galván
2014	Misc	`conf`	A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models. IDC Ricardo Aler, Ricardo Martín, José María Valls, Inés María Galván
2014	J	`jnl`	Extended mean-variance model for reliable evolutionary portfolio optimization. AI Commun. Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
2013	J	`jnl`	Multiobjective Algorithms with Resampling for Portfolio Optimization. Comput. Informatics Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
2012	J	`jnl`	Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces. Inf. Sci. Ricardo Aler, Inés María Galván, José María Valls
2012	J	`jnl`	Time-stamped resampling for robust evolutionary portfolio optimization. Expert Syst. Appl. Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
2011	J	`jnl`	A lazy learning approach for building classification models. Int. J. Intell. Syst. Inés María Galván, José María Valls, Miguel García, Pedro Isasi
2011	C	`conf`	Portfolio Optimization Using SPEA2 with Resampling. IDEAL Sandra García-Rodríguez, David Quintana, Inés María Galván, Pedro Isasi
2011	J	`jnl`	Recursive Discriminant Regression Analysis to Find Homogeneous Groups. Int. J. Neural Syst. Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2010	B	`conf`	Evolving spatial and frequency selection filters for Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation Ricardo Aler, Inés María Galván, José María Valls
2010	—	`conf`	Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. ICANN (1) Sandra García-Rodríguez, Ricardo Aler, Inés María Galván
2009	Misc	`conf`	A Lazy Approach for Machine Learning Algorithms. AIAI Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi
2009	J	`jnl`	AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification. IEEE Trans. Syst. Man Cybern. Part B Alejandro Cervantes, Inés María Galván, Pedro Isasi
2009	C	`conf`	Discriminant Regression Analysis to Find Homogeneous Structures. IDEAL Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2009	—	`conf`	Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. BIOSIGNALS Ricardo Aler, Inés María Galván, José María Valls
2009	J	`jnl`	Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. New Gener. Comput. Alejandro Cervantes, Inés María Galván, Pedro Isasi Viñuela
2009	—	`conf`	Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks. IWANN (1) Sandra García-Rodríguez, Cristóbal Luque, Alejandro Cervantes, Inés María Galván
2009	C	`conf`	Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. EMO 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
2009	—	`conf`	Supervised clustering via principal component analysis in a retrieval application. KDD Workshop on Knowledge Discovery from Sensor Data Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2009	—	`conf`	Transition Detection for Brain Computer Interface Classification. BIOSTEC (Selected Papers) Ricardo Aler, Inés María Galván, José María Valls
2008	J	`jnl`	Learning radial basis neural networks in a lazy way: A comparative study. Neurocomputing José María Valls, Inés María Galván, Pedro Isasi Viñuela
2008	J	`jnl`	Multilayer perceptron as inverse model in a ground-based remote sensing temperature retrieval problem. Eng. Appl. Artif. Intell. Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2007	—	`conf`	An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) Alejandro Cervantes, Inés María Galván, Pedro Isasi
2007	—	`conf`	Building Nearest Prototype Classifiers Using a Michigan Approach PSO. SIS Alejandro Cervantes, Inés María Galván, Pedro Isasi
2007	J	`jnl`	LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. José María Valls, Inés María Galván, Pedro Isasi
2006	J	`jnl`	Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function. Comput. Artif. Intell. José María Valls, Inés María Galván, Pedro Isasi Viñuela
2006	—	`conf`	Lazy Training of Radial Basis Neural Networks. ICANN (1) José María Valls, Inés María Galván, Pedro Isasi
2006	C	`conf`	Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles. IDEAL Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2005	—	`conf`	A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. ICANN (1) César Estébanez, José María Valls, Ricardo Aler, Inés María Galván
2005	B	`conf`	A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. Congress on Evolutionary Computation Alejandro Cervantes, Inés María Galván, Pedro Isasi
2005	—	`conf`	Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles. CIMCA/IAWTIC Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
2005	J	`jnl`	Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures. Comput. Artif. Intell. Germán Gutiérrez, Araceli Sanchis, Pedro Isasi Viñuela, José M. Molina, Inés María Galván
2004	J	`jnl`	Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. Neural Process. Lett. José María Valls, Inés María Galván, Pedro Isasi
2004	B	`conf`	Studying the capacity of cellular encoding to generate feedforward neural network topologies. IJCNN Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchis
2003	—	`conf`	A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. IWANN (1) Pedro Isasi, José María Valls, Inés María Galván
2003	—	`conf`	How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. Applied Informatics José María Valls, Inés María Galván, Pedro Isasi
2003	—	`conf`	Modified Self-organizing Maps for Line Extraction in Digitized Text Documents. Applied Informatics Juan Manuel Alonso-Weber, Inés María Galván, Araceli Sanchis de Miguel
2002	C	`conf`	Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. ICANN Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchis
2002	B	`conf`	Generative capacities of grammars codification for evolution of NN architectures. IEEE Congress on Evolutionary Computation M. A. Guinea, Germán Gutiérrez, Inés María Galván, Araceli Sanchis, José M. Molina
2001	J	`jnl`	A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. Int. J. Neural Syst. Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
2001	C	`conf`	Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN José María Valls, Pedro Isasi, Inés María Galván
2001	—	`conf`	Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. IWANN (1) Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchis, Inés María Galván
2001	J	`jnl`	Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. Neural Process. Lett. Inés María Galván, Pedro Isasi
2001	J	`jnl`	Optimizing the Number of Learning Cycles in the Design of Radial Basis Neural Networks Using a Multi-Agent System. Comput. Artif. Intell. José M. Molina, Inés María Galván, José María Valls, Andrés Leal
2000	B	`conf`	Grammars and cellular automata for evolving neural networks architectures. SMC José M. Molina, Inés María Galván, Pedro Isasi, Araceli Sanchis
2000	J	`jnl`	Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas. Inteligencia Artif. José María Valls, José M. Molina, Inés María Galván
1997	—	`conf`	Improving Inverse Control on Real Time by Means of Neural Networks. ICONIP (2) D. Barrios, Inés María Galván, P. Jsasi, J. Ríos
1997	—	`—`	Nuevos modelos de redes de neuronas artificiales para simulación y control desistemas dinámicos. Inés María Galván