Diego Peteiro-Barral
Diego Peteiro-Barral
Research assistant, University of A Coruña
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A survey of methods for distributed machine learning
D Peteiro-Barral, B Guijarro-Berdiñas
Progress in Artificial Intelligence 2 (1), 1-11, 2013
Online machine learning
Ó Fontenla-Romero, B Guijarro-Berdiñas, D Martinez-Rego, ...
Efficiency and Scalability Methods for Computational Intellect, 27-54, 2013
Distributed one-class support vector machine
E Castillo, D Peteiro-Barral, BG Berdiñas, O Fontenla-Romero
International journal of neural systems 25 (07), 1550029, 2015
A methodology for improving tear film lipid layer classification
B Remeseiro, V Bolon-Canedo, D Peteiro-Barral, A Alonso-Betanzos, ...
IEEE journal of biomedical and health informatics 18 (4), 1485-1493, 2013
On the scalability of feature selection methods on high-dimensional data
V Bolón-Canedo, D Rego-Fernández, D Peteiro-Barral, ...
Knowledge and Information Systems 56 (2), 395-442, 2018
A mixture of experts for classifying sleep apneas
B Guijarro-Berdiñas, E Hernández-Pereira, D Peteiro-Barral
Expert Systems with Applications 39 (8), 7084-7092, 2012
A unified pipeline for online feature selection and classification
V Bolon-Canedo, D Fernández-Francos, D Peteiro-Barral, ...
Expert Systems with Applications 55, 532-545, 2016
Learning from heterogeneously distributed data sets using artificial neural networks and genetic algorithms
D Peteiro-Barral, B Guijarro-Berdinas, B Pérez-Sánchez
Journal of Artificial Intelligence and Soft Computing Research 2, 2012
Toward the scalability of neural networks through feature selection
D Peteiro-Barral, V Bolón-Canedo, A Alonso-Betanzos, ...
Expert systems with applications 40 (8), 2807-2816, 2013
Scalability analysis of lter-based methods for feature selection
D Peteiro-Barral, V Bolon-Canedo, A Alonso-Betanzos, ...
Advances in Smart Systems Research 2 (1), 21, 2012
Scalability analysis of ANN training algorithms with feature selection
V Bolón-Canedo, D Peteiro-Barral, A Alonso-Betanzos, ...
Conference of the Spanish Association for Artificial Intelligence, 84-93, 2011
Evaluation of an automatic dry eye test using MCDM methods and rank correlation
D Peteiro-Barral, B Remeseiro, R Méndez, MG Penedo
Medical & biological engineering & computing 55 (4), 527-536, 2017
A study on the scalability of artificial neural networks training algorithms using multiple-criteria decision-making methods
D Peteiro-Barral, B Guijarro-Berdiñas
International Conference on Artificial Intelligence and Soft Computing, 162-173, 2013
Interferential tear film lipid layer classification: An automatic dry eye test
V Bolon-Canedo, D Peteiro-Barral, B Remeseiro, A Alonso-Betanzos, ...
2012 IEEE 24th International Conference on Tools with Artificial …, 2012
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks
D Peteiro-Barral, B Guijarro-Berdiñas, B Pérez-Sánchez, ...
Expert systems with applications 40 (10), 3900-3905, 2013
An eeg-based brain informatics application for enhancing music experience
Y Guo, C Wu, D Peteiro-Barral
International Conference on Brain Informatics, 265-276, 2012
On the effectiveness of distributed learning on different class-probability distributions of data
D Peteiro-Barral, B Guijarro-Berdiñas, B Pérez-Sánchez
Conference of the Spanish Association for Artificial Intelligence, 114-123, 2011
Evaluation of class binarization and feature selection in tear film classification using topsis
R Méndez, B Remeseiro, D Peteiro-Barral, MG Penedo
International Conference on Agents and Artificial Intelligence, 179-193, 2013
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms.
D Peteiro-Barral, B Guijarro-Berdinas, B Pérez-Sánchez, ...
ESANN, 2011
An Analysis of Clustering Approaches to Distributed Learning on Heterogeneously Distributed Datasets.
D Peteiro-Barral, B Guijarro-Berdiñas
KES, 69-78, 2012
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Artigos 1–20