Diego Peteiro-Barral

According to our database1, Diego Peteiro-Barral authored at least 23 papers between 2009 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
On the scalability of feature selection methods on high-dimensional data.
Knowl. Inf. Syst., 2018

2017
Evaluation of an automatic dry eye test using MCDM methods and rank correlation.
Medical Biol. Eng. Comput., 2017

2016
A unified pipeline for online feature selection and classification.
Expert Syst. Appl., 2016

2015
Distributed One-Class Support Vector Machine.
Int. J. Neural Syst., 2015

2014
A Methodology for Improving Tear Film Lipid Layer Classification.
IEEE J. Biomed. Health Informatics, 2014

Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification.
Proceedings of the ICAART 2014, 2014

2013
A survey of methods for distributed machine learning.
Prog. Artif. Intell., 2013

A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks.
Expert Syst. Appl., 2013

Toward the scalability of neural networks through feature selection.
Expert Syst. Appl., 2013

A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

A Study on the Scalability of Artificial Neural Networks Training Algorithms Using Multiple-Criteria Decision-Making Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

Evaluation of Class Binarization and Feature Selection in Tear Film Classification using TOPSIS.
Proceedings of the Agents and Artificial Intelligence - 5th International Conference, 2013

Multi-criteria Evaluation of Class Binarization and Feature Selection in Tear Film Lipid Layer Classification.
Proceedings of the ICAART 2013, 2013

2012
A mixture of experts for classifying sleep apneas.
Expert Syst. Appl., 2012

An Analysis of Clustering Approaches to Distributed Learning on Heterogeneously Distributed Datasets.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

An EEG-Based Brain Informatics Application for Enhancing Music Experience.
Proceedings of the Brain Informatics - International Conference, 2012

2011
Dealing with "Very Large" Datasets - An Overview of a Promising Research Line: Distributed Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks.
Proceedings of the 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, 2011

A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data.
Proceedings of the Advances in Artificial Intelligence, 2011

Scalability Analysis of ANN Training Algorithms with Feature Selection.
Proceedings of the Advances in Artificial Intelligence, 2011

2009
Classifying Sleep Apneas Using Neural Networks and a Combination of Experts.
Proceedings of the Current Topics in Artificial Intelligence, 2009


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