Daniel Rivero

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Using Genetic Programming to Extract Knowledge from Artificial Neural Networks

Daniel Rivero, Miguel Varela, Javier Pereira, 2006 .

Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming

Daniel Rivero, Juan R. Rabuñal, Jerónimo Puertas, 2002, EvoWorkshops.

Time Series Forecast with Anticipation Using Genetic Programming

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2005, IWANN.

Using recurrent ANNs for the detection of epileptic seizures in EEG signals

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2002, PPSN.

Automatic seizure detection based on star graph topological indices

Daniel Rivero, Cristian Robert Munteanu, Enrique Fernandez-Blanco, 2012, Journal of Neuroscience Methods.

Database Analysis with ANNs by means of Graph Evolution

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2011 .

Distributed genetic programming by an object oriented system using java and corba

Daniel Rivero, Miguel Varela, Juan R. Rabuñal, 2004, Parallel and Distributed Computing and Networks.

ANN Development with EC Tools: An Overview

Daniel Rivero, Juan R. Rabuñal, 2009 .

Restoration of Old Documents with Genetic Algorithms

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2003, EvoWorkshops.

Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification

Daniel Rivero, Julian Dorado, Ling Guo, 2012, IET Signal Process..

Evolving Graphs for ANN Development and Simplification

Daniel Rivero, David Periscal, 2009, Encyclopedia of Artificial Intelligence.

Variational reconstruction and restoration for video Super-Resolution

Daniel Rivero, Javier Ruiz Hidalgo, Jordi Salvador, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

ANN Development with EC Tools

Daniel Rivero, Juan R. Rabuñal, 2009, Encyclopedia of Artificial Intelligence.

Using genetic programming for artificial neural network development and simplification

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2006 .

Using genetic algorithms for automatic recurrent ANN development: an application to EEG signal classification

Daniel Rivero, Marcos Gestal, Vanessa Aguiar-Pulido, 2013, Int. J. Data Min. Model. Manag..

Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin

Daniel Rivero, Juan R. Rabuñal, Jerónimo Puertas, 2011, IWINAC.

Clustering of Gene Expression Profiles Applied to Marine Research

Daniel Rivero, Vanessa Aguiar-Pulido, Julian Dorado, 2013, IWANN.

Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2008, ECAI.

A New Approach to the Extraction of ANN Rules and to Their Generalization Capacity Through GP

Daniel Rivero, Javier Pereira, Juan R. Rabuñal, 2004, Neural Computation.

Classification of Two-channel Signals by Means of Genetic Programming

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2015, GECCO.

Classification of EEG signals using relative wavelet energy and artificial neural networks

Daniel Rivero, José Antonio Seoane Fernández, Ling Guo, 2009, GEC '09.

Rules and Generalization Capacity Extraction from ANN with GP

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2003, IWANN.

Genetic Programming: key concepts and examples: A brief tutorial on Genetic Programming

Daniel Rivero, Marcos Gestal, Juan Ramn Rabual, 2011 .

A Soft Computing Overview: Artificial Neural Networks and Evolutionary Computation

Daniel Rivero, Marcos Gestal, M. Gestal, 2010 .

Artificial Cells for Information Processing: Iris Classification

Daniel Rivero, Enrique Fernández-Blanco, Jose A. Serantes, 2009, ECAL.

Generation and simplification of Artificial Neural Networks by means of Genetic Programming

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2010, Neurocomputing.

Biomedical data integration in computational drug design and bioinformatics.

Daniel Rivero, Vanessa Aguiar-Pulido, Alejandro Pazos, 2013, Current computer-aided drug design.

Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks

Daniel Rivero, Juan R. Rabuñal, Jerónimo Puertas, 2007 .

Basics of Web Application Design - An Example-based Learning Approach

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2010, CSEDU.

Automatic epileptic seizure detection in EEGs based on line length feature and artificial neural networks

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2010, Journal of Neuroscience Methods.

A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems

Daniel Rivero, Juan R. Rabuñal, Julian Dorado, 2007, IWANN.

Prediction and modeling of the rainfall-runoff transformation of a typical urban basin using ann and gp

Daniel Rivero, Juan R. Rabuñal, Jerónimo Puertas, 2003, Appl. Artif. Intell..

A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications pdf

Norberto F. Ezquerra, Daniel Rivero, Carlos Fernandez-Lozano, 2015, ArXiv.

Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2007, ICANNGA.

A purely evolutionary memetic algorithm as a first step towards symbiotic coevolution

Leonardo Vanneschi, Daniel Rivero, Stefano Cagnoni, 2005, 2005 IEEE Congress on Evolutionary Computation.

A new signal classification technique by means of Genetic Algorithms and kNN

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2009, 2009 International Joint Conference on Neural Networks.

Evolutionary Development of ANNs for Data Mining

Daniel Rivero, 2009, Encyclopedia of Data Warehousing and Mining.

Extracting Knowledge from Databases and ANNs with Genetic Programming: Iris Flower Classification Problem

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2004 .

Introduction to Informatics for Future Documentalists in the European Higher Education Area

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2012, CSEDU.

Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks

Daniel Rivero, Alejandro Pazos, Ling Guo, 2010, Journal of Neuroscience Methods.

Artificial Neural Network Development by means of Genetic Programming with Graph Codification

Daniel Rivero, Javier Pereira, Juan R. Rabuñal, 2008 .

Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils

Daniel Rivero, Carlos Fernandez-Lozano, Alejandro Pazos, 2016 .

Classification of signals by means of Genetic Programming

Daniel Rivero, Enrique Fernández-Blanco, Marcos Gestal, 2013, Soft Computing.

Example-based learning: development of business applications witn .Net technologies

Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, 2015 .

Automatic feature extraction using genetic programming: An application to epileptic EEG classification

Daniel Rivero, Alejandro Pazos, Cristian R. Munteanu, 2011, Expert Syst. Appl..

Using Genetic Programming for Character Discrimination in Damaged Documents

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2004, EvoWorkshops.

A Genetic Algorithm for ANN Design, Training and Simplification

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2009, IWANN.

Two-population Genetic Algorithm - An Approach to Improve the Population Diversity

Daniel Rivero, Enrique Fernández-Blanco, Juan R. Rabuñal, 2010, ICAART.

Building the European Higher Education Area - A Subject in Information Systems Security

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2009, CSEDU.

Using Artificial Neural Networks for Identifying Patients with Mild Cognitive Impairment Associated with Depression Using Neuropsychological Test Features

Daniel Rivero, Javier Andrade-Garda, Rafael García-Vázquez, 2018, Applied Sciences.

A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms

Daniel Rivero, Carlos Fernandez-Lozano, Marcos Gestal, 2013, VISAPP.

Modifying genetic programming for artificial neural network development for data mining

Daniel Rivero, Juan R. Rabuñal, Alejandro Pazos, 2008, Soft Comput..

Approach of Genetic Algorithms with Grouping into Species Optimized with Predator-Prey Method for Solving Multimodal Problems

Daniel Rivero, Juan R. Rabuñal, Julian Dorado, 2012, DCAI.

Ensemble of Convolution Neural Networks on Heterogeneous Signals for Sleep Stage Scoring pdf

Daniel Rivero, Carlos Fernandez-Lozano, Alejandro Pazos, 2021, ArXiv.

UAV swarm path planning with reinforcement learning for field prospecting pdf

Daniel Rivero, Alejandro Pazos, Enrique Fernandez-Blanco, 2021, Applied Intelligence.

A review of artificial intelligence applied to path planning in UAV swarms

Daniel Rivero, Alejandro Pazos, Enrique Fernandez-Blanco, 2021, Neural Computing and Applications.

Using Reinforcement Learning in the Path Planning of Swarms of UAVs for the Photographic Capture of Terrains

Daniel Rivero, Alejandro Pazos, Enrique Fernandez-Blanco, 2021, Engineering Proceedings.

Optimization of NIR calibration models for multiple processes in the sugar industry

Daniel Rivero, Enrique Fernández-Blanco, Alejandro Pazos, 2016 .