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Bertha Guijarro‐Berdiñas

Observed names: B. Guijarro-Berdinas, B. Guijarro-Berdiñas, Berta Guijarro-Berdiñas, Bertha Guijarro-Berdinas, Bertha Guijarro-Berdiñas, Guijarro-Berdiñas, Bertha
Observed institution: Universidade da Coruña
ORCID: 0000-0001-8901-5441
Observed ORCID: 0000-0001-8901-5441
OpenAlex ID: A5046448840
A survey of methods for distributed machine learning
2012 · Diego Peteiro-Barral, Bertha Guijarro-Berdiñas · Progress in Artificial Intelligence · 206
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An intelligent system for forest fire risk prediction and fire fighting management in Galicia
2003 · Amparo Alonso-Betanzos, Oscar Fontenla-Romero, et al. · Expert Systems with Applications · 142
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
2006 · Enrique Castillo, Bertha Guijarro‐Berdiñas, et al. · Journal of Machine Learning Research · 122
A new method for sleep apnea classification using wavelets and feedforward neural networks
2004 · Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, et al. · Artificial Intelligence in Medicine · 86
Online Machine Learning
2013 · Óscar Fontenla-Romero, Bertha Guijarro-Berdiñas, et al. · IGI Global eBooks · 83
A review of adaptive online learning for artificial neural networks
2016 · Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, et al. · Artificial Intelligence Review · 82
A Global Optimum Approach for One-Layer Neural Networks
2002 · Enrique Castillo, Oscar Fontenla-Romero, et al. · Neural Computation · 69
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system
2002 · Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, et al. · Artificial Intelligence · 60
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On the scalability of feature selection methods on high-dimensional data
2017 · V. Bolón-Canedo, D. Rego-Fernández, et al. · Knowledge and Information Systems · 52
A Methodology for Improving Tear Film Lipid Layer Classification
2014 · Beatriz Remeseiro, Veronica Bolon-Canedo, et al. · IEEE Journal of Biomedical and Health Informatics · 46
A new convex objective function for the supervised learning of single-layer neural networks
2009 · Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, et al. · Pattern Recognition · 38
Fast deep autoencoder for federated learning
2023 · David Novoa-Paradela, Oscar Fontenla-Romero, et al. · Pattern Recognition · 37
Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks
2014 · José Luis Calvo-Rolle, Oscar Fontenla-Romero, et al. · Informatica · 33
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A Linear Learning Method for Multilayer Perceptrons Using Least-Squares
2007 · Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, et al. · Springer eBooks · 33
Large scale anomaly detection in mixed numerical and categorical input spaces
2019 · Carlos Eiras-Franco, David Martínez-Rego, et al. · Information Sciences · 32
The NST-EXPERT project: the need to evolve
1995 · Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, et al. · Artificial Intelligence in Medicine · 30
Scalable feature selection using ReliefF aided by locality‐sensitive hashing
2021 · Carlos Eiras‐Franco, Bertha Guijarro‐Berdiñas, et al. · International Journal of Intelligent Systems · 29
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A mixture of experts for classifying sleep apneas
2012 · Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, et al. · Expert Systems with Applications · 27
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks
2017 · Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, et al. · IEEE Transactions on Neural Networks and Learning Systems · 23
The PATRICIA project: a semantic-based methodology for intelligent monitoring in the ICU
1993 · V. Moret-Bonillo, A. Alonso-Betanzos, et al. · IEEE Engineering in Medicine and Biology Magazine · 23
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness
2002 · Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos · Artificial Intelligence in Medicine · 22
A scalable decision-tree-based method to explain interactions in dyadic data
2019 · Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, et al. · Decision Support Systems · 19
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Adaptive pattern recognition in the analysis of cardiotocographic records
2001 · O. Fontenla-Romero, A. Alonso-Betanzos, et al. · IEEE Transactions on Neural Networks · 18
Beyond the Premier: Assessing Action Spotting Transfer Capability Across Diverse Domains
2024 · Bruno Cabado, Anthony Cioppa, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 16
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FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks
2023 · Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, et al. · Future Generation Computer Systems · 16
Works count: 138
Citation count: 1,720
H-index: 22
I10-index: 37
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