Beatriz Pérez-Sánchez

Miguel A. Díaz-Freire

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

An effective and efficient green federated learning method for one-layer neural networks.

[BibT_eX]

[DOI]

Elena Hernández-Pereira

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks.

[BibT_eX]

[DOI]

Elena Hernández-Pereira

Future Gener. Comput. Syst., December, 2023

2021

DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

Regularized One-Layer Neural Networks for Distributed and Incremental Environments.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2021

Federated Learning approach for SpectralClustering.

[BibT_eX]

[DOI]

Elena Hernández-Pereira

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2018

LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

An incremental non-iterative learning method for one-layer feedforward neural networks.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

A review of adaptive online learning for artificial neural networks.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2018

Feature selection for label ranking.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

LANN-DSVD: A privacy-preserving distributed algorithm for machine learning.

[BibT_eX]

[DOI]

Marcelo Gómez-Casal

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016

Learning Data Structures - Same Difficulties in Different Countries?

[BibT_eX]

[DOI]

Paula Morais

Rev. Iberoam. de Tecnol. del Aprendiz., 2016

Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Distributed learning algorithm for feedforward neural networks.

[BibT_eX]

[DOI]

Diego Rego-Fernández

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

A fast learning algorithm for high dimensional problems: an application to microarrays.

[BibT_eX]

[DOI]

Diego Rego-Fernández

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Selecting target concept in one-class classification for handling class imbalance problem.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

One-Class Classification for Microarray Datasets with Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2015

2014

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks.

[BibT_eX]

[DOI]

José Luís Calvo-Rolle

Informatica, 2014

Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension.

[BibT_eX]

[DOI]

Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014

Self-adaptive Topology Neural Network for Online Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the ICAART 2014, 2014

2013

A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

An online learning algorithm for adaptable topologies of neural networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

Estimating the parameters of a fatigue model using Benders' decomposition.

[BibT_eX]

[DOI]

Enrique F. Castillo

Roberto Mínguez

Antonio J. Conejo

Ann. Oper. Res., 2013

2011

A robust incremental learning method for non-stationary environments.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Dealing with "Very Large" Datasets - An Overview of a Promising Research Line: Distributed Learning.

[BibT_eX]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2011

2010

A new convex objective function for the supervised learning of single-layer neural networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

An incremental learning method for neural networks in adaptive environments.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Functional Networks.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the Current Topics in Artificial Intelligence, 2009

2008

A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines.

[BibT_eX]

[DOI]

Ruben M. Rodriguez-Pena

Proceedings of the International Joint Conference on Neural Networks, 2007

A Linear Learning Method for Multilayer Perceptrons Using Least-Squares.

[BibT_eX]

[DOI]

Paula Fraguela

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

A Fast Semi-linear Backpropagation Learning Algorithm.

[BibT_eX]

[DOI]

Paula Fraguela

Proceedings of the Artificial Neural Networks, 2007

Classification of computer intrusions using functional networks. A comparative study.

[BibT_eX]

[DOI]

Félix M. Carballal-Fortes

Juan A. Suárez-Romero