Beatriz Pérez-Sánchez

Author Info

Name	Affiliation	Papers
BEATRIZ PÉREZ-SÁNCHEZ	Faculty of Informatics, University of A Coruña, A Coruña, Spain	34
Collaborators	Citations	PageRank
24	95	14.03
Referers	Referees	References
197	540	327

Search Limit

100540

Publications (34 rows)

Collaborators (24 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Dsvd-Autoencoder: A Scalable Distributed Privacy-Preserving Method For One-Class Classification	0	0.34	2021
LANN-DSVD: A privacy-preserving distributed algorithm for machine learning.	0	0.34	2018
An incremental non-iterative learning method for one-layer feedforward neural networks.	2	0.36	2018
A review of adaptive online learning for artificial neural networks.	1	0.35	2018
Feature selection for label ranking.	0	0.34	2018
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks.	3	0.37	2018
Distributed learning algorithm for feedforward neural networks.	0	0.34	2016
Two-Class With Oversampling Versus One-Class Classification For Microarray Datasets	0	0.34	2016
Learning Data Structures - Same Difficulties in Different Countries?	0	0.34	2016
A fast learning algorithm for high dimensional problems: an application to microarrays.	0	0.34	2016
One-Class Classification for Microarray Datasets with Feature Selection.	1	0.36	2015
Selecting Target Concept In One-Class Classification For Handling Class Imbalance Problem	1	0.35	2015
Self-adaptive Topology Neural Network for Online Incremental Learning.	0	0.34	2014
Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension.	0	0.34	2014
Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks	11	0.60	2014
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks	2	0.38	2013
An online learning algorithm for adaptable topologies of neural networks.	4	0.41	2013
Estimating the parameters of a fatigue model using Benders' decomposition.	0	0.34	2013
Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks	0	0.34	2011
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms.	2	0.39	2011
A robust incremental learning method for non-stationary environments	15	0.69	2011
Dealing With "Very Large" Datasets An Overview Of A Promising Research Line: Distributed Learning	0	0.34	2011
On the effectiveness of distributed learning on different class-probability distributions of data	0	0.34	2011
A new convex objective function for the supervised learning of single-layer neural networks	21	0.89	2010
Fault prognosis of mechanical components using on-line learning neural networks	2	0.39	2010
An Incremental Learning Method For Neural Networks In Adaptive Environments	3	0.46	2010
A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization	1	0.38	2009
An incremental learning method for neural networks based on sensitivity analysis	4	0.50	2009
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis	1	0.38	2008
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines	2	0.42	2007
A fast semi-linear backpropagation learning algorithm	0	0.34	2007
An improved version of the wrapper feature selection method based on functional decomposition	0	0.34	2007
A linear learning method for multilayer perceptrons using least-squares	12	0.69	2007
Classification of computer intrusions using functional networks. A comparative study	7	0.59	2007