Beatriz Pérez-Sánchez

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 18

Top Topics

Learning Algorithm

High Dimensional Problems

Top Venues

Rev. Iberoam. de Tecnol. del Aprendiz.

Publications

Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
An effective and efficient green federated learning method for one-layer neural networks. SAC (2024)
Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, Miguel A. Díaz-Freire
Analysis of voice recordings features for Classification of Parkinson's Disease. SAC (2024)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
An effective and efficient green federated learning method for one-layer neural networks. CoRR (2023)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. Future Gener. Comput. Syst. 149 (2023)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) (2021)
Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Federated Learning approach for SpectralClustering. ESANN (2021)
Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification. Int. J. Intell. Syst. 36 (1) (2021)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal
LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. ESANN (2018)
Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Noelia Sánchez-Maroño, Beatriz Pérez-Sánchez
Feature selection for label ranking. ESANN (2018)
Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
An incremental non-iterative learning method for one-layer feedforward neural networks. Appl. Soft Comput. 70 (2018)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
A review of adaptive online learning for artificial neural networks. Artif. Intell. Rev. 49 (2) (2018)
Beatriz Pérez-Sánchez, Paula Morais
Learning Data Structures - Same Difficulties in Different Countries? Rev. Iberoam. de Tecnol. del Aprendiz. 11 (4) (2016)
Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández
Distributed learning algorithm for feedforward neural networks. ESANN (2016)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. ICANN (2) (2016)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego
A fast learning algorithm for high dimensional problems: an application to microarrays. ESANN (2016)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
One-Class Classification for Microarray Datasets with Feature Selection. EANN (2015)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
Selecting target concept in one-class classification for handling class imbalance problem. IJCNN (2015)
José Luís Calvo-Rolle, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. Informatica 25 (3) (2014)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. ICAART (Revised Selected Papers) (2014)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Self-adaptive Topology Neural Network for Online Incremental Learning. ICAART (1) (2014)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, David Martínez-Rego
An online learning algorithm for adaptable topologies of neural networks. Expert Syst. Appl. 40 (18) (2013)
Enrique F. Castillo, Roberto Mínguez, Antonio J. Conejo, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
Estimating the parameters of a fatigue model using Benders' decomposition. Ann. Oper. Res. 210 (1) (2013)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks. Expert Syst. Appl. 40 (10) (2013)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Dealing with "Very Large" Datasets - An Overview of a Promising Research Line: Distributed Learning. ICAART (1) (2011)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. ESANN (2011)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks. HIMA (2011)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data. CAEPIA (2011)
David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A robust incremental learning method for non-stationary environments. Neurocomputing 74 (11) (2011)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
A new convex objective function for the supervised learning of single-layer neural networks. Pattern Recognit. 43 (5) (2010)
David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. ICANN (1) (2010)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
An incremental learning method for neural networks in adaptive environments. IJCNN (2010)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. IWANN (1) (2009)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA (2009)
Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. ESANN (2008)
Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Félix M. Carballal-Fortes, Juan A. Suárez-Romero, Beatriz Pérez-Sánchez
Classification of computer intrusions using functional networks. A comparative study. ESANN (2007)
Ruben M. Rodriguez-Pena, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. IJCNN (2007)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Beatriz Pérez-Sánchez
An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition. ICANN (2) (2007)
Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) (2007)
Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL (2007)