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Beatriz Pérez-Sánchez
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2020 – today
- 2024
- [c27]Beatriz Pérez-Sánchez
, Noelia Sánchez-Maroño
, Miguel A. Díaz-Freire
:
Analysis of voice recordings features for Classification of Parkinson's Disease. SAC 2024: 531-532 - [c26]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: 1050-1052 - 2023
- [j12]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: 200-211 (2023) - [i1]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 abs/2312.14528 (2023) - 2021
- [j11]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): 177-199 (2021) - [c25]Elena Hernández-Pereira
, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Federated Learning approach for SpectralClustering. ESANN 2021 - [c24]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) 2021: 343-355
2010 – 2019
- 2018
- [j10]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
A review of adaptive online learning for artificial neural networks. Artif. Intell. Rev. 49(2): 281-299 (2018) - [j9]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: 951-958 (2018) - [j8]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): 3900-3905 (2018) - [c23]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal:
LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. ESANN 2018 - [c22]Noelia Sánchez-Maroño, Beatriz Pérez-Sánchez:
Feature selection for label ranking. ESANN 2018 - 2016
- [j7]Beatriz Pérez-Sánchez, Paula Morais
:
Learning Data Structures - Same Difficulties in Different Countries? Rev. Iberoam. de Tecnol. del Aprendiz. 11(4): 242-247 (2016) - [c21]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 - [c20]Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández:
Distributed learning algorithm for feedforward neural networks. ESANN 2016 - [c19]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
:
Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. ICANN (2) 2016: 398-405 - 2015
- [c18]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
:
One-Class Classification for Microarray Datasets with Feature Selection. EANN 2015: 325-334 - [c17]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
:
Selecting target concept in one-class classification for handling class imbalance problem. IJCNN 2015: 1-8 - 2014
- [j6]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): 401-414 (2014) - [c16]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Self-adaptive Topology Neural Network for Online Incremental Learning. ICAART (1) 2014: 94-101 - [c15]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. ICAART (Revised Selected Papers) 2014: 194-210 - 2013
- [j5]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): 309-331 (2013) - [j4]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): 3900-3905 (2013) - [j3]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): 7294-7304 (2013) - 2011
- [j2]David Martínez-Rego
, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
, Amparo Alonso-Betanzos
:
A robust incremental learning method for non-stationary environments. Neurocomputing 74(11): 1800-1808 (2011) - [c14]Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data. CAEPIA 2011: 114-123 - [c13]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 - [c12]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: 54-60 - [c11]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: 476-481 - 2010
- [j1]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): 1984-1992 (2010) - [c10]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: 60-66 - [c9]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
An incremental learning method for neural networks in adaptive environments. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c8]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA 2009: 42-50 - [c7]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: 157-164 - [r1]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Functional Networks. Encyclopedia of Artificial Intelligence 2009: 667-676 - 2008
- [c6]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: 289-294 - 2007
- [c5]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: 579-584 - [c4]Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela:
A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) 2007: 190-198 - [c3]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: 240-249 - [c2]Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela:
A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL 2007: 365-374 - [c1]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: 1607-1612
Coauthor Index
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