Beatriz Pérez-Sánchez

According to our database1, Beatriz Pérez-Sánchez authored at least 35 papers between 2007 and 2021.

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

Timeline

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Bibliography

2021
DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification.
Int. J. Intell. Syst., 2021

2018
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

An incremental non-iterative learning method for one-layer feedforward neural networks.
Appl. Soft Comput., 2018

A review of adaptive online learning for artificial neural networks.
Artif. Intell. Rev., 2018

Feature selection for label ranking.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

LANN-DSVD: A privacy-preserving distributed algorithm for machine learning.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016
Learning Data Structures - Same Difficulties in Different Countries?
Rev. Iberoam. de Tecnol. del Aprendiz., 2016

Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Distributed learning algorithm for feedforward neural networks.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

A fast learning algorithm for high dimensional problems: an application to microarrays.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Selecting target concept in one-class classification for handling class imbalance problem.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

One-Class Classification for Microarray Datasets with Feature Selection.
Proceedings of the Engineering Applications of Neural Networks, 2015

2014
Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks.
Informatica, 2014

Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension.
Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014

Self-adaptive Topology Neural Network for Online Incremental Learning.
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

An online learning algorithm for adaptable topologies of neural networks.
Expert Syst. Appl., 2013

Estimating the parameters of a fatigue model using Benders' decomposition.
Ann. Oper. Res., 2013

2011
A robust incremental learning method for non-stationary environments.
Neurocomputing, 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 ESANN 2011, 2011

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

2010
A new convex objective function for the supervised learning of single-layer neural networks.
Pattern Recognit., 2010

An incremental learning method for neural networks in adaptive environments.
Proceedings of the International Joint Conference on Neural Networks, 2010

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

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

A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis.
Proceedings of the Current Topics in Artificial Intelligence, 2009

2008
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis.
Proceedings of the ESANN 2008, 2008

2007
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Linear Learning Method for Multilayer Perceptrons Using Least-Squares.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition.
Proceedings of the Artificial Neural Networks, 2007

A Fast Semi-linear Backpropagation Learning Algorithm.
Proceedings of the Artificial Neural Networks, 2007

Classification of computer intrusions using functional networks. A comparative study.
Proceedings of the ESANN 2007, 2007


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