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Bertha Guijarro-Berdiñas
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2020 – today
- 2025
- [j38]Miguel Escarda, Carlos Eiras-Franco, Brais Cancela, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Performance and sustainability of BERT derivatives in dyadic data. Expert Syst. Appl. 262: 125647 (2025) - 2024
- [j37]Jorge Paz-Ruza
, Alex Alves Freitas
Positive-Unlabelled learning for identifying new candidate Dietary Restriction-related genes among ageing-related genes. Comput. Biol. Medicine 180: 108999 (2024) - [j36]David Novoa-Paradela
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? Eng. Appl. Artif. Intell. 133: 108065 (2024) - [j35]Jorge Paz-Ruza
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability. Inf. Fusion 111: 102497 (2024) - [j34]Wander Jager, Bertha Guijarro-Berdiñas, Loes Bouman
Simulating the Role of Norms in Processes of Social Innovation: Three Case Studies. J. Artif. Soc. Soc. Simul. 27(1) (2024) - [c52]Bruno Cabado, Anthony Cioppa, Silvio Giancola, Andrés Villa, Bertha Guijarro-Berdiñas, Emilio J. Padrón, Bernard Ghanem, Marc Van Droogenbroeck:
Beyond the Premier: Assessing Action Spotting Transfer Capability Across Diverse Domains. CVPR Workshops 2024: 3386-3398 - [c51]Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño, Bertha Guijarro-Berdiñas:
EGAR: Environment Generator for Agent-Based Research. PAAMS 2024: 217-227 - [c50]Víctor López
RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. SAC 2024: 565-571 - [c49]Oscar Fontenla-Romero
An effective and efficient green federated learning method for one-layer neural networks. SAC 2024: 1050-1052 - [e1]Amparo Alonso-Betanzos
Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings. Lecture Notes in Computer Science 14640, Springer 2024, ISBN 978-3-031-62798-9 [contents] - [i9]Jorge Paz-Ruza
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models. CoRR abs/2401.10690 (2024) - [i8]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 abs/2406.09898 (2024) - [i7]Álvaro Fernández-Campa-González, Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Positive-Unlabelled Learning for Improving Image-based Recommender System Explainability. CoRR abs/2407.06740 (2024) - 2023
- [j33]Oscar Fontenla-Romero
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. Future Gener. Comput. Syst. 149: 200-211 (2023) - [j32]David Novoa-Paradela
A One-Class Classification method based on Expanded Non-Convex Hulls. Inf. Fusion 89: 1-15 (2023) - [j31]David Novoa-Paradela
Fast deep autoencoder for federated learning. Pattern Recognit. 143: 109805 (2023) - [c48]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: 1-6 - [i6]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 abs/2307.15723 (2023) - [i5]Jorge Paz-Ruza
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability. CoRR abs/2308.01196 (2023) - [i4]David Novoa-Paradela
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? CoRR abs/2311.04948 (2023) - [i3]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) - 2022
- [j30]Elena Hernández-Pereira
Machine learning techniques to predict different levels of hospital care of CoVid-19. Appl. Intell. 52(6): 6413-6431 (2022) - [c47]Bruno Cabado
Real-time classification of handball game situations. ICTAI 2022: 686-691 - [c46]Jorge Paz-Ruza
Sustainable Personalisation and Explainability in Dyadic Data Systems. KES 2022: 1017-1026 - [c45]Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias
How Agent-based modeling can help to foster sustainability projects. KES 2022: 2546-2555 - [d2]Iñigo López-Riobóo Botana
A TripAdvisor Dataset for Dyadic Context Analysis. Zenodo, 2022 - [i2]Iñigo López-Riobóo Botana
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency. CoRR abs/2205.01759 (2022) - [i1]David Novoa-Paradela
Fast Deep Autoencoder for Federated learning. CoRR abs/2206.05136 (2022) - 2021
- [j29]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) - [j28]Carlos Eiras-Franco
Scalable feature selection using ReliefF aided by locality-sensitive hashing. Int. J. Intell. Syst. 36(11): 6161-6179 (2021) - [c44]Elena Hernández-Pereira
Federated Learning approach for SpectralClustering. ESANN 2021 - [c43]Amparo Alonso-Betanzos
Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data. IWANN (2) 2021: 128-140 - [c42]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) 2021: 343-355 - [d1]Wander Jager, Amparo Alonso-Betanzos
Models of the five SMARTEES case study clusters. Zenodo, 2021 - 2020
- [j27]Carlos Eiras-Franco
Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Trans. Intell. Syst. Technol. 11(6): 71:1-71:18 (2020) - [c41]David Novoa-Paradela
Online learning for anomaly detection via subdivisible convex hulls. IJCNN 2020: 1-8 - [c40]Alejandro Rodríguez-Arias
A FIPA-ACL based communication utility for Unity. WETICE 2020: 9-13
2010 – 2019
- 2019
- [j26]Carlos Eiras-Franco
A scalable decision-tree-based method to explain interactions in dyadic data. Decis. Support Syst. 127 (2019) - [j25]Carlos Eiras-Franco
Large scale anomaly detection in mixed numerical and categorical input spaces. Inf. Sci. 487: 115-127 (2019) - 2018
- [j24]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) - [j23]Oscar Fontenla-Romero
An incremental non-iterative learning method for one-layer feedforward neural networks. Appl. Soft Comput. 70: 951-958 (2018) - [j22]Verónica Bolón-Canedo
On the scalability of feature selection methods on high-dimensional data. Knowl. Inf. Syst. 56(2): 395-442 (2018) - [j21]Oscar Fontenla-Romero
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) - [c39]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal:
LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. ESANN 2018 - 2016
- [j20]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: 532-545 (2016) - [c38]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 - [c37]Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández:
Distributed learning algorithm for feedforward neural networks. ESANN 2016 - 2015
- [j19]Enrique F. Castillo
Distributed One-Class Support Vector Machine. Int. J. Neural Syst. 25(7): 1550029:1-1550029:17 (2015) - 2014
- [j18]José Luís Calvo-Rolle
Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. Informatica 25(3): 401-414 (2014) - [j17]Beatriz Remeseiro
A Methodology for Improving Tear Film Lipid Layer Classification. IEEE J. Biomed. Health Informatics 18(4): 1485-1493 (2014) - [c36]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Self-adaptive Topology Neural Network for Online Incremental Learning. ICAART (1) 2014: 94-101 - [c35]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. ICAART (Revised Selected Papers) 2014: 194-210 - [c34]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: 350-357 - 2013
- [j16]Diego Peteiro-Barral, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Toward the scalability of neural networks through feature selection. Expert Syst. Appl. 40(8): 2807-2816 (2013) - [j15]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) - [j14]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
An online learning algorithm for adaptable topologies of neural networks. Expert Syst. Appl. 40(18): 7294-7304 (2013) - [j13]Diego Peteiro-Barral, Bertha Guijarro-Berdiñas:
A survey of methods for distributed machine learning. Prog. Artif. Intell. 2(1): 1-11 (2013) - [c33]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: 162-173 - [c32]Diego Peteiro-Barral, Bertha Guijarro-Berdiñas:
A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory. ICANN 2013: 122-129 - 2012
- [j12]Bertha Guijarro-Berdiñas, Elena Hernández-Pereira
A mixture of experts for classifying sleep apneas. Expert Syst. Appl. 39(8): 7084-7092 (2012) - [c31]Verónica Bolón-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test. ICTAI 2012: 359-366 - [c30]Diego Peteiro-Barral, Bertha Guijarro-Berdiñas:
An Analysis of Clustering Approaches to Distributed Learning on Heterogeneously Distributed Datasets. KES 2012: 69-78 - 2011
- [c29]Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos
Scalability Analysis of ANN Training Algorithms with Feature Selection. CAEPIA 2011: 84-93 - [c28]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 - [c27]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 - [c26]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 - [c25]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
- [j11]Oscar Fontenla-Romero
A new convex objective function for the supervised learning of single-layer neural networks. Pattern Recognit. 43(5): 1984-1992 (2010) - [c24]Bertha Guijarro-Berdiñas, Santiago Fernández-Lorenzo, Noelia Sánchez-Maroño
A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. ICANN (1) 2010: 415-421 - [c23]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
- [j10]Eduardo Mosqueira-Rey
A Snort-based agent for a JADE multi-agent intrusion detection system. Int. J. Intell. Inf. Database Syst. 3(1): 107-121 (2009) - [c22]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA 2009: 42-50 - [c21]Bertha Guijarro-Berdiñas, Elena Hernández-Pereira
Classifying Sleep Apneas Using Neural Networks and a Combination of Experts. CAEPIA 2009: 271-280 - [c20]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 - [c19]Bertha Guijarro-Berdiñas, David Martínez-Rego
Privacy-Preserving Distributed Learning Based on Genetic Algorithms and Artificial Neural Networks. IWANN (2) 2009: 195-202 - [c18]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: 339-348 - [r1]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Functional Networks. Encyclopedia of Artificial Intelligence 2009: 667-676 - 2008
- [c17]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
- [c16]Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela:
A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) 2007: 190-198 - [c15]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 - 2006
- [j9]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: 1159-1182 (2006) - [c14]Juan A. Suárez-Romero, Amparo Alonso-Betanzos
An Add-On for Managing Behaviours with Priority in JADE. IAT 2006: 713-716 - 2005
- [j8]Oscar Fontenla-Romero
A new method for sleep apnea classification using wavelets and feedforward neural networks. Artif. Intell. Medicine 34(1): 65-76 (2005) - [c13]Juan A. Suárez-Romero, Amparo Alonso-Betanzos
A tool for agent communication in Mozart/Oz. IAT 2005: 706-710 - 2004
- [j7]Oscar Fontenla-Romero
A measure of fault tolerance for functional networks. Neurocomputing 62: 327-347 (2004) - 2003
- [j6]Amparo Alonso-Betanzos
An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst. Appl. 25(4): 545-554 (2003) - [c12]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: 284-293 - [c11]Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Self-organizing maps and functional networks for local dynamic modeling. ESANN 2003: 39-44 - [c10]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: 270-277 - 2002
- [j5]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. Artif. Intell. 136(1): 1-27 (2002) - [j4]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness. Artif. Intell. Medicine 24(1): 71-96 (2002) - [j3]Enrique F. Castillo, Oscar Fontenla-Romero
A Global Optimum Approach for One-Layer Neural Networks. Neural Comput. 14(6): 1429-1449 (2002) - [c9]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: 489-500 - [c8]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: 643-647 - [c7]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: 945-950 - 2001
- [j2]Oscar Fontenla-Romero
Adaptive pattern recognition in the analysis of cardiotocographic records. IEEE Trans. Neural Networks 12(5): 1188-1195 (2001) - [c6]Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Measure of Noise Immunity for Functional Networks. IWANN (1) 2001: 293-300 - [c5]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) 2001: 301-307 - [c4]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. IWANN (2) 2001: 393-400
1990 – 1999
- 1998
- [c3]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: 358-364 - [c2]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: 827-833 - 1997
- [c1]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: 628-633 - 1995
- [j1]Amparo Alonso-Betanzos
The NST-EXPERT project: the need to evolve. Artif. Intell. Medicine 7(4): 297-313 (1995)
Coauthor Index
[j38] [j37] [j35] [j34] [e1] [i9] [i8] [i7] [i6] [i5] [j30] [c46] [c45] [d2] [i2] [j28] [c43] [d1] [j27] [j26] [j25] [j22] [j20] [j17] [c34] [j16] [c31] [c29] [j11] [j10] [c18] [c17] [j9] [c14] [j8] [c13] [j7] [j6] [c12] [c11] [c10] [j5] [j4] [j3] [c9] [c8] [c7] [j2] [c6] [c5] [c4] [c3] [c2] [c1] [j1]
[j36] [c50] [c49] [e1] [j33] [j32] [j31] [c48] [i4] [i3] [j30] [i1] [j29] [c44] [c42] [c41] [j24] [j23] [j21] [c39] [c38] [c37] [j19] [j18] [c36] [c35] [j15] [j14] [c27] [j11] [c24] [c23] [c22] [c20] [r1] [c17] [c16] [c15] [j9] [j8] [j7] [j6] [c12] [c11] [c10] [j5] [j3] [c9] [c8] [c7] [j2] [c6] [c5] [c4] [c3]
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