Alejandro Pazos

发表

RECOGNITION OF HUMAN MOVEMENT PATTERNS

Alejandro Pazos, A. Rivas, R. Barral, 1996 .

A tool for the fusion of magnetic resonance anatomic and spectroscopy

Alejandro Pazos, Roberto García, Virginia Mato, 2008 .

Aceleración del entrenamiento de Redes de Neuronas Artificiales mediante Algoritmos Genéticos utilizando la GPU

Juan R. Rabuñal, Alejandro Pazos, Antonio Seoane, 2007 .

Framework of fully integrated hybrid systems

Alejandro Pazos, Antonino Santos, Adrián Carballal, 2011, Neural Computing and Applications.

Retrieval and management of medical information from heterogeneous sources, for its integration in a medical record visualisation tool

Alejandro Pazos, Julian Dorado, Vanessa Aguiar-Pulido, 2010, Int. J. Electron. Heal..

Time Series Forecast with Anticipation Using Genetic Programming

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

Knowledge Management as the Future of E-Learning

Juan R. Rabuñal, Alejandro Pazos, Nieves Pedreira, 2005 .

Protein Graphs in Cancer Prediction

Alejandro Pazos, Cristian R. Munteanu, Santiago Vilar, 2010 .

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

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

Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks

Bernardino Arcay Varela, Alejandro Pazos, Julian Dorado, 2002, Neural Computing & Applications.

Database Analysis with ANNs by means of Graph Evolution

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

Markov Entropy Centrality: Chemical, Biological, Crime, and Legislative Networks

Maykel Cruz-Monteagudo, Alejandro Pazos, Cristian R. Munteanu, 2011, Towards an Information Theory of Complex Networks.

Study of classical conditioning in Aplysia through the implementation of computational models of its learning circuit

Juan Romero, Alejandro Pazos, Antonino Santos, 2007, J. Exp. Theor. Artif. Intell..

Restoration of Old Documents with Genetic Algorithms

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

The TEDESE Project - first results from Receiver Functions

Xing Li, Alejandro Pazos, Winfried Hanka, 2003 .

Encyclopedia of Artificial Intelligence (3 Volumes)

Juan R. Rabuñal, Alejandro Pazos, Julian Dorado, 2009, Encyclopedia of Artificial Intelligence.

Connectionist system for music interpretation

Alejandro Pazos, Julian Dorado, Juan J. Romero Cardalda, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Using genetic programming for artificial neural network development and simplification

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

Neural computing in medicine

Norberto F. Ezquerra, Alejandro Pazos, N. Ezquerra, 1994, Artif. Intell. Medicine.

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.

NEURONSESSIONS: a Web-based collaborative tool to create brain computational models.

Alejandro Pazos, Ana Porto, Guillermo Rodríguez, 2010, Advances in experimental medicine and biology.

Anonymizing Patient Genomic Data for Public Sharing Association Studies

Carlos Fernandez-Lozano, Alejandro Pazos, Julian Dorado, 2013, MedInfo.

Rules and Generalization Capacity Extraction from ANN with GP

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

The impact of design on the implementation of medical imaging information systems

Alejandro Pazos, Juan Luis Pérez Ordóñez, José Manuel Vázquez-Naya, 2004, CARS.

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

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

Annotation of Colorectal Cancer Data Using the UMLS Metathesaurus

Javier Pereira, Alejandro Pazos, Marcos Martínez, 2008, KES.

Redesign and performance of an automatic segmentation method

Carlos Fernandez-Lozano, Alejandro Pazos, Nereida Rodriguez-Fernandez, 2018 .

Knowledge management for chronic patient control and monitoring

Javier Pereira, Alejandro Pazos, Julian Dorado, 2014 .

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.

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..

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.

Automatic multiscale vascular image segmentation algorithm for coronary angiography

Carlos Fernandez-Lozano, Alejandro Pazos, Guillermo López-Campos, 2018, Biomed. Signal Process. Control..

Development of a DICOM server for the reception and storage of medical images in digital format

Javier Pereira, Alejandro Pazos, Francisco J. Novoa, 2004 .

Algoritmos genéticos para el entrenamiento de redes de neuronas artificiales (RNA) recurrentes con activaciones temporales

Juan R. Rabuñal, Alejandro Pazos, Julian Dorado, 1998, Inteligencia Artif..

Detection of patterns in radiographs using ANN designed and trained with GA

Alejandro Pazos, Julian Dorado, Antonino Santos, 1996 .

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.

Distributed architecture system for monitoring intensive care patients

Javier Pereira, Alejandro Pazos, Jorge Teijeiro, 2007 .

Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

Enrique Fernández-Blanco, Alejandro Pazos, Daniel Rivero Cebrián, 2018, Comput. Electron. Agric..

Computational Models of Neuron-Astrocyte Interactions Lead to Improved Efficacy in the Performance of Neural Networks

Alejandro Pazos, Ana Porto Pazos, Alberto Alvarellos González, 2012, Comput. Math. Methods Medicine.

Avoiding interference in planar arrays through the use of artificial neural networks

Alejandro Pazos, J. A. Rodriguez, Julian Dorado, 2002 .

Integrated system to access medical images in the intranet and the extranet

Javier Pereira, Alejandro Pazos, Bernardino Arcay, 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

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

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

Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection

Carlos Fernandez-Lozano, Alejandro Pazos, Ana B. Porto-Pazos, 2018, Scientific Reports.

A model of virtual 'learning to learn'

Juan R. Rabuñal, Andrés Silva, Alejandro Pazos, 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

Adaptive aspects of rhythmic composition: genetic music

Alejandro Pazos, Julian Dorado, J. J. Romero Cardalda, 1999 .

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.