Diego Peteiro-Barral

24 papers B 3C 1Journal 9Unranked 10
YearRankTypeTitle / Venue / Authors
2018 J jnl
On the scalability of feature selection methods on high-dimensional data.
Knowl. Inf. Syst.
Verónica Bolón-Canedo, Diego Fernández-Francos, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2017 J jnl
Evaluation of an automatic dry eye test using MCDM methods and rank correlation.
Medical Biol. Eng. Comput.
Diego Peteiro-Barral, Beatriz Remeseiro, Rebeca Méndez, Manuel G. Penedo
2016 J jnl
A unified pipeline for online feature selection and classification.
Expert Syst. Appl.
Verónica Bolón-Canedo, Diego Fernández-Francos, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2015 J jnl
Distributed One-Class Support Vector Machine.
Int. J. Neural Syst.
Enrique F. Castillo, Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero
2015 — —
Novel methods in distributed machine learning for large datasets.
Diego Peteiro-Barral
2014 J jnl
A Methodology for Improving Tear Film Lipid Layer Classification.
IEEE J. Biomed. Health Informatics
Beatriz Remeseiro, Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
2014 — conf
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification.
ICAART (1)
Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2013 C conf
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory.
ICANN
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
2013 — conf
A Study on the Scalability of Artificial Neural Networks Training Algorithms Using Multiple-Criteria Decision-Making Methods.
ICAISC (1)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
2013 J jnl
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks.
Expert Syst. Appl.
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2013 J jnl
A survey of methods for distributed machine learning.
Prog. Artif. Intell.
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
2013 — conf
Evaluation of Class Binarization and Feature Selection in Tear Film Classification using TOPSIS.
ICAART (Revised Selected Papers)
Rebeca Méndez, Beatriz Remeseiro, Diego Peteiro-Barral, Manuel G. Penedo
2013 — conf
Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification.
ICAART (2)
Rebeca Méndez, Beatriz Remeseiro, Diego Peteiro-Barral, Manuel G. Penedo
2013 J jnl
Toward the scalability of neural networks through feature selection.
Expert Syst. Appl.
Diego Peteiro-Barral, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2012 J jnl
A mixture of experts for classifying sleep apneas.
Expert Syst. Appl.
Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Diego Peteiro-Barral
2012 B conf
An Analysis of Clustering Approaches to Distributed Learning on Heterogeneously Distributed Datasets.
KES
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
2012 — conf
An EEG-Based Brain Informatics Application for Enhancing Music Experience.
Brain Informatics
Yike Guo, Chao Wu, Diego Peteiro-Barral
2012 B conf
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test.
ICTAI
Verónica Bolón-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
2011 B conf
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms.
ESANN
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2011 — conf
Dealing with "Very Large" Datasets - An Overview of a Promising Research Line: Distributed Learning.
ICAART (1)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2011 — conf
Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks.
HIMA
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2011 — conf
On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data.
CAEPIA
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2011 — conf
Scalability Analysis of ANN Training Algorithms with Feature Selection.
CAEPIA
Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2009 — conf
Classifying Sleep Apneas Using Neural Networks and a Combination of Experts.
CAEPIA
Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Diego Peteiro-Barral