Bertha Guijarro-Berdiñas

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 41

Top Topics

Anomaly Detection

Top Venues

Int. J. Intell. Syst.

Publications

Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernandez-Paz
RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. 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. SAC (2024)
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability. Inf. Fusion 111 (2024)
Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
Positive-Unlabelled learning for identifying new candidate Dietary Restriction-related genes among ageing-related genes. Comput. Biol. Medicine 180 (2024)
Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
Positive-Unlabelled Learning for Identifying New Candidate Dietary Restriction-related Genes among Ageing-related Genes. CoRR (2024)
Álvaro Fernández-Campa-González, Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
Positive-Unlabelled Learning for Improving Image-based Recommender System Explainability. CoRR (2024)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? Eng. Appl. Artif. Intell. 133 (2024)
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models. CoRR (2024)
Wander Jager, Bertha Guijarro-Berdiñas, Loes Bouman, Patrycja Antosz, Amparo Alonso-Betanzos, Douglas Salt, J. Gareth Polhill, Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño
Simulating the Role of Norms in Processes of Social Innovation: Three Case Studies. J. Artif. Soc. Soc. Simul. 27 (1) (2024)
Alejandro Rodríguez-Arias, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
Agent-Based Model: Simulating a Virus Expansion Based on the Acceptance of Containment Measures. CoRR (2023)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
A One-Class Classification method based on Expanded Non-Convex Hulls. Inf. Fusion 89 (2023)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Diego Orellana-Cañás
A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders. WETICE (2023)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Fast deep autoencoder for federated learning. Pattern Recognit. 143 (2023)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? CoRR (2023)
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)
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability. CoRR (2023)
Bruno Cabado, Bertha Guijarro-Berdiñas, Emilio J. Padrón
Real-time classification of handball game situations. ICTAI (2022)
Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Sustainable Personalisation and Explainability in Dyadic Data Systems. KES (2022)
Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, Adina Dumitru, Isabel Lema-Blanco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
How Agent-based modeling can help to foster sustainability projects. KES (2022)
Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Brais Cancela-Barizo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Machine learning techniques to predict different levels of hospital care of CoVid-19. Appl. Intell. 52 (6) (2022)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Fast Deep Autoencoder for Federated learning. CoRR (2022)
Iñigo López-Riobóo Botana, Verónica Bolón-Canedo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency. CoRR (2022)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) (2021)
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
Scalable feature selection using ReliefF aided by locality-sensitive hashing. Int. J. Intell. Syst. 36 (11) (2021)
Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Federated Learning approach for SpectralClustering. ESANN (2021)
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño
Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data. IWANN (2) (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)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Online learning for anomaly detection via subdivisible convex hulls. IJCNN (2020)
Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
NN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Alejandro Rodríguez-Arias, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
A FIPA-ACL based communication utility for Unity. WETICE (2020)
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
A scalable decision-tree-based method to explain interactions in dyadic data. Decis. Support Syst. 127 (2019)
Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
Large scale anomaly detection in mixed numerical and categorical input spaces. Inf. Sci. 487 (2019)
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)
Verónica Bolón-Canedo, Diego Fernández-Francos, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
On the scalability of feature selection methods on high-dimensional data. Knowl. Inf. Syst. 56 (2) (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)
Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández
Distributed learning algorithm for feedforward neural networks. ESANN (2016)
Verónica Bolón-Canedo, Diego Fernández-Francos, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
A unified pipeline for online feature selection and classification. Expert Syst. Appl. 55 (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)
Enrique F. Castillo, Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero
Distributed One-Class Support Vector Machine. Int. J. Neural Syst. 25 (7) (2015)
Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification. ICAART (1) (2014)
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 Remeseiro, Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
A Methodology for Improving Tear Film Lipid Layer Classification. IEEE J. Biomed. Health Informatics 18 (4) (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)
Diego Peteiro-Barral, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
Toward the scalability of neural networks through feature selection. Expert Syst. Appl. 40 (8) (2013)
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)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
A Study on the Scalability of Artificial Neural Networks Training Algorithms Using Multiple-Criteria Decision-Making Methods. ICAISC (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
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory. ICANN (2013)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
A survey of methods for distributed machine learning. Prog. Artif. Intell. 2 (1) (2013)
Diego Peteiro-Barral, Bertha Guijarro-Berdiñas
An Analysis of Clustering Approaches to Distributed Learning on Heterogeneously Distributed Datasets. KES (2012)
Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Diego Peteiro-Barral
A mixture of experts for classifying sleep apneas. Expert Syst. Appl. 39 (8) (2012)
Verónica Bolón-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test. ICTAI (2012)
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)
Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
Scalability Analysis of ANN Training Algorithms with Feature Selection. CAEPIA (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)
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)
Bertha Guijarro-Berdiñas, Santiago Fernández-Lorenzo, Noelia Sánchez-Maroño, Oscar Fontenla-Romero
A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. 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)
Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Diego Peteiro-Barral
Classifying Sleep Apneas Using Neural Networks and a Combination of Experts. CAEPIA (2009)
Bertha Guijarro-Berdiñas, David Martínez-Rego, Santiago Fernández-Lorenzo
Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks. IWANN (2) (2009)
Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, David Alonso-Ríos, Jesús Lago Piñeiro
A Snort-based agent for a JADE multi-agent intrusion detection system. Int. J. Intell. Inf. Database Syst. 3 (1) (2009)
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Silvia López-López, Santiago Fernández-Lorenzo, David Alonso-Ríos
A JADE-Based Framework for Developing Evolutionary Multi-Agent Systems. PAAMS (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)
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)
Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
An Add-On for Managing Behaviours with Priority in JADE. IAT (2006)
Enrique F. Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. J. Mach. Learn. Res. 7 (2006)
Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Cristina Durán-Sanlés
A tool for agent communication in Mozart/Oz. IAT (2005)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo
A new method for sleep apnea classification using wavelets and feedforward neural networks. Artif. Intell. Medicine 34 (1) (2005)
Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
A measure of fault tolerance for functional networks. Neurocomputing 62 (2004)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo
A Bayesian Neural Network Approach for Sleep Apnea Classification. AIME (2003)
Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
Self-organizing maps and functional networks for local dynamic modeling. ESANN (2003)
Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. IWANN (1) (2003)
Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas
An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst. Appl. 25 (4) (2003)
Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
A Global Optimum Approach for One-Layer Neural Networks. Neural Comput. 14 (6) (2002)
Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. ICANN (2002)
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness. Artif. Intell. Medicine 24 (1) (2002)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. Advances in Computational Intelligence and Learning (2002)
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. Artif. Intell. 136 (1) (2002)
Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muñiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade
A Neural Network Approach for Forestal Fire Risk Estimation. ECAI (2002)
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. IWANN (2) (2001)
Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
A Measure of Noise Immunity for Functional Networks. IWANN (1) (2001)
Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
Adaptive pattern recognition in the analysis of cardiotocographic records. IEEE Trans. Neural Networks 12 (5) (2001)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) (2001)
Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. NC (1998)
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas
A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project. NC (1998)
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Soledad Prados-Méndez, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas
A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing. IWANN (1997)
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Vicente Moret-Bonillo, S. Lopez-Gonzalez
The NST-EXPERT project: the need to evolve. Artif. Intell. Medicine 7 (4) (1995)