Diego Peteiro-Barral
According to our database1,
Diego Peteiro-Barral
authored at least 23 papers
between 2009 and 2018.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2018
Knowl. Inf. Syst., 2018
2017
Medical Biol. Eng. Comput., 2017
2016
Expert Syst. Appl., 2016
2015
2014
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 comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks.
Expert Syst. Appl., 2013
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
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
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
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
Proceedings of the Advances in Artificial Intelligence, 2011
2009
Proceedings of the Current Topics in Artificial Intelligence, 2009