Classification of computer intrusions using functional networks. A comparative study. - Amparo Alonso-Betanzos; Noelia Sánchez-Maroño; Félix M. Carballal-Fortes; Juan A. Suárez-Romero; Beatriz Pérez-Sánchez (ESANN, 2007)

A Fast Semi-linear Backpropagation Learning Algorithm. - Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Paula Fraguela (ICANN (1), 2007)

An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition. - Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; Beatriz Pérez-Sánchez (ICANN (2), 2007)

A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. - Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Paula Fraguela (IDEAL, 2007)

A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. - Ruben M. Rodriguez-Pena; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (IJCNN, 2007)

A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. - Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Amparo Alonso-Betanzos (ESANN, 2008)

An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (CAEPIA, 2009)

A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (IWANN (1), 2009)

Functional Networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (Encyclopedia of Artificial Intelligence, 2009)

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. - David Martínez-Rego; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Amparo Alonso-Betanzos (ICANN (1), 2010)

An incremental learning method for neural networks in adaptive environments. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (IJCNN, 2010)

A new convex objective function for the supervised learning of single-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Amparo Alonso-Betanzos (Pattern Recognit., 2010)

On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data. - Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (CAEPIA, 2011)

A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. - Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (ESANN, 2011)

Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks. - Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (HIMA, 2011)

Dealing with "Very Large" Datasets - An Overview of a Promising Research Line: Distributed Learning. - Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (ICAART (1), 2011)

A robust incremental learning method for non-stationary environments. - David Martínez-Rego; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Neurocomputing, 2011)

Estimating the parameters of a fatigue model using Benders' decomposition. - Enrique F. Castillo; Roberto Mínguez; Antonio J. Conejo; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (Ann. Oper. Res., 2013)

An online learning algorithm for adaptable topologies of neural networks. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; David Martínez-Rego (Expert Syst. Appl., 2013)

A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks. - Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (Expert Syst. Appl., 2013)

Self-adaptive Topology Neural Network for Online Incremental Learning. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (ICAART (1), 2014)

Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (ICAART (Revised Selected Papers), 2014)

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. - José Luís Calvo-Rolle; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (Informatica, 2014)

One-Class Classification for Microarray Datasets with Feature Selection. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Noelia Sánchez-Maroño (EANN, 2015)

Selecting target concept in one-class classification for handling class imbalance problem. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Noelia Sánchez-Maroño (IJCNN, 2015)

A fast learning algorithm for high dimensional problems: an application to microarrays. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Diego Rego-Fernández; David Martínez-Rego (ESANN, 2016)

Distributed learning algorithm for feedforward neural networks. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas; Diego Rego-Fernández (ESANN, 2016)

Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Noelia Sánchez-Maroño (ICANN (2), 2016)

Learning Data Structures - Same Difficulties in Different Countries? - Beatriz Pérez-Sánchez; Paula Morais (Rev. Iberoam. de Tecnol. del Aprendiz., 2016)

LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Marcelo Gómez-Casal (ESANN, 2018)

Feature selection for label ranking. - Noelia Sánchez-Maroño; Beatriz Pérez-Sánchez (ESANN, 2018)

A review of adaptive online learning for artificial neural networks. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Artif. Intell. Rev., 2018)

An incremental non-iterative learning method for one-layer feedforward neural networks. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (Appl. Soft Comput., 2018)

LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (IEEE Trans. Neural Networks Learn. Syst., 2018)

Federated Learning approach for SpectralClustering. - Elena Hernández-Pereira; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (ESANN, 2021)

Regularized One-Layer Neural Networks for Distributed and Incremental Environments. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (IWANN (2), 2021)

DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (Int. J. Intell. Syst., 2021)

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Beatriz Pérez-Sánchez (Future Gener. Comput. Syst., 2023)

An effective and efficient green federated learning method for one-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Beatriz Pérez-Sánchez (SAC, 2024)

Analysis of voice recordings features for Classification of Parkinson's Disease. - Beatriz Pérez-Sánchez; Noelia Sánchez-Maroño; Miguel A. Díaz-Freire (SAC, 2024)

ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals. - Javier Ortega-Morla; Antonio Leis; Alma Mallo; Laura Morán-Fernández; Sara Guerreiro-Santalla; Alejandro Paz-Lopez; Beatriz Pérez-Sánchez; Noelia Sánchez-Maroño; Alejandro Rodríguez-Arias; Oscar Fontenla-Romero; Francisco Bellas (IEEE Trans. Learn. Technol., 2025)