Amparo Alonso-Betanzos

219 papers A 3B 45C 8Misc 3Journal 113Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments.
CoRR
Alejandro Dopico-Castro, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Iván Pérez Digón
2025 J jnl
A robust methodology for long-term sustainability evaluation of Machine Learning models.
CoRR
Jorge Paz-Ruza, João Gama, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2025 J jnl
An agent-based model to simulate the public acceptability of social innovations.
Expert Syst. J. Knowl. Eng.
Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Isabel Lema-Blanco, Adina Dumitru
2025 J jnl
Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression Models.
IEEE Trans. Neural Networks Learn. Syst.
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2025 J jnl
Efficient Single-Step Framework for Incremental Class Learning in Neural Networks.
CoRR
Alejandro Dopico-Castro, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2025 C conf
Empowering AI Through Frugality.
ICPRAM
Amparo Alonso-Betanzos
2025 J jnl
Performance and sustainability of BERT derivatives in dyadic data.
Expert Syst. Appl.
Miguel Escarda, Carlos Eiras-Franco, Brais Cancela, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2025 B conf
Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning.
IJCNN
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Carlos Eiras-Franco
2025 J jnl
Predictively Combatting Toxicity in Health-related Online Discussions through Machine Learning.
CoRR
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Carlos Eiras-Franco
2025 — conf
Quantitative and Qualitative Evaluation on Local Explainability Models for Anomaly Detection Algorithms.
IWANN (2)
David Esteban Martínez, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2025 A conf
Rethinking Efficiency in Machine Learning.
GECCO
Amparo Alonso-Betanzos
2025 J jnl
Robust Gene Prioritization via Fast-mRMR Feature Selection in high-dimensional omics data.
CoRR
Rubén Fernández-Farelo, Jorge Paz-Ruza, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Alex Alves Freitas
2025 — conf
Sustainable Techniques to Improve Data Quality for Training Image-Based Explanatory Models for Recommender Systems.
ICANN (3)
Jorge Paz-Ruza, David Esteban Martínez, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2024 J jnl
A review of green artificial intelligence: Towards a more sustainable future.
Neurocomputing
Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
2024 B conf
AI-based algorithm for intrusion detection on a real dataset.
ESANN
David Esteban Martínez, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Elena Hernández-Pereira, Alejandro Esteban Martínez
2024 — ed.
Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings
CAEPIA
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso
2024 B conf
Agent-based model to assess public acceptance of an energy sustainability project in the island of El Hierro.
KES
Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2024 J jnl
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models.
CoRR
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2024 J jnl
Positive-Unlabelled Learning for Identifying New Candidate Dietary Restriction-related Genes among Ageing-related Genes.
CoRR
Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2024 J jnl
Positive-Unlabelled Learning for Improving Image-based Recommender System Explainability.
CoRR
Álvaro Fernández-Campa-González, Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2024 J jnl
Positive-Unlabelled learning for identifying new candidate Dietary Restriction-related genes among ageing-related genes.
Comput. Biol. Medicine
Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2024 J jnl
Simulating the Role of Norms in Processes of Social Innovation: Three Case Studies.
J. Artif. Soc. Soc. Simul.
Wander Jager, Bertha Guijarro-Berdiñas, Loes Bouman, Patrycja Antosz, Amparo Alonso-Betanzos, Douglas Salt, J. Gareth Polhill, Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño
2024 J jnl
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability.
Inf. Fusion
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2024 J jnl
The imbalance problem: A comparison of sampling approaches using different parameters and feature selection methods in the context of classification.
Expert Syst. J. Knowl. Eng.
José Luis Morillo-Salas, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2023 J jnl
Agent-Based Model: Simulating a Virus Expansion Based on the Acceptance of Containment Measures.
CoRR
Alejandro Rodríguez-Arias, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2023 B conf
Automated green machine learning for condition-based maintenance.
ESANN
Afonso Lourenço, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2023 J jnl
Data-driven predictive maintenance framework for railway systems.
Intell. Data Anal.
Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama
2023 J jnl
E2E-FS: An End-to-End Feature Selection Method for Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2023 B conf
Green Machine Learning.
ESANN
Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
2023 J jnl
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability.
CoRR
Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco
2022 — conf
Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks.
HICSS
Javier Fumanal-Idocin, Oscar Cordón, Maria Minárová, Amparo Alonso-Betanzos, Humberto Bustince
2022 J jnl
Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks.
CoRR
Javier Fumanal-Idocin, Oscar Cordón, Maria Minárová, Amparo Alonso-Betanzos, Humberto Bustince
2022 J jnl
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency.
CoRR
Iñigo López-Riobóo Botana, Verónica Bolón-Canedo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2022 J jnl
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces.
CoRR
Iñigo López-Riobóo Botana, Carlos Eiras-Franco, Julio C. Hernandez-Castro, Amparo Alonso-Betanzos
2022 J jnl
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning.
Inf. Sci.
Jorge Meira, Carlos Eiras-Franco, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos
2022 — ch.
Feature Selection: From the Past to the Future.
Advances in Selected Artificial Intelligence Areas
Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Laura Morán-Fernández, Brais Cancela
2022 B conf
How Agent-based modeling can help to foster sustainability projects.
KES
Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, Adina Dumitru, Isabel Lema-Blanco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2022 J jnl
How important is data quality? Best classifiers vs best features.
Neurocomputing
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2022 J jnl
Low-precision feature selection on microarray data: an information theoretic approach.
Medical Biol. Eng. Comput.
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2022 J jnl
Machine learning techniques to predict different levels of hospital care of CoVid-19.
Appl. Intell.
Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Brais Cancela-Barizo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2022 B conf
Sustainable Personalisation and Explainability in Dyadic Data Systems.
KES
Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2021 J jnl
Dealing with heterogeneity in the context of distributed feature selection for classification.
Knowl. Inf. Syst.
José Luis Morillo-Salas, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2021 J jnl
Editor's Note.
Int. J. Interact. Multim. Artif. Intell.
Amparo Alonso-Betanzos, Pedro Cabalar, Graçaliz Pereira Dimuro, Marcos García, José Hernández-Orallo, Raquel Hervás, Angeles Manjarés, Fernando Martínez-Plumed, Inmaculada Mora-Jiménez, Miquel Sànchez-Marrè
2021 — conf
Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data.
IWANN (2)
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño
2021 J jnl
Scalable feature selection using ReliefF aided by locality-sensitive hashing.
Int. J. Intell. Syst.
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
2021 J jnl
Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations.
IEEE Trans. Pattern Anal. Mach. Intell.
Brais Cancela, Amparo Alonso-Betanzos
2020 B conf
A delayed Elastic-Net approach for performing adversarial attacks.
ICPR
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2020 J jnl
A scalable saliency-based feature selection method with instance-level information.
Knowl. Based Syst.
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
2020 B conf
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss.
ICPR
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2020 J jnl
Community detection and Social Network analysis based on the Italian wars of the 15th century.
CoRR
Javier Fumanal-Idocin, Amparo Alonso-Betanzos, Oscar Cordón, Humberto Bustince, Maria Minárová
2020 J jnl
Community detection and social network analysis based on the Italian wars of the 15th century.
Future Gener. Comput. Syst.
Javier Fumanal-Idocin, Amparo Alonso-Betanzos, Oscar Cordón, Humberto Bustince, Maria Minárová
2020 B conf
Do we need hundreds of classifiers or a good feature selection?
ESANN
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2020 J jnl
E2E-FS: An End-to-End Feature Selection Method for Neural Networks.
CoRR
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2020 J jnl
Fast Distributed
ACM Trans. Intell. Syst. Technol.
Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2020 J jnl
Feature selection with limited bit depth mutual information for portable embedded systems.
Knowl. Based Syst.
Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
2020 J jnl
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems.
CoRR
Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2020 J jnl
One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments.
IEEE Trans. Syst. Man Cybern. Syst.
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2020 J jnl
Performance evaluation of unsupervised techniques in cyber-attack anomaly detection.
J. Ambient Intell. Humaniz. Comput.
Jorge Meira, Rui Andrade, Isabel Praça, João Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Goreti Marreiros
2020 — conf
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information.
IoT Streams/ITEM@PKDD/ECML
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
2019 J jnl
A scalable decision-tree-based method to explain interactions in dyadic data.
Decis. Support Syst.
Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
2019 J jnl
A scalable saliency-based Feature selection method with instance level information.
CoRR
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
2019 J jnl
Biases in feature selection with missing data.
Neurocomputing
Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon
2019 J jnl
Distributed Correlation-Based Feature Selection in Spark.
CoRR
Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodríguez, Amparo Alonso-Betanzos
2019 J jnl
Distributed classification based on distances between probability distributions in feature space.
Inf. Sci.
Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos
2019 J jnl
Distributed correlation-based feature selection in spark.
Inf. Sci.
Raul-Jose Palma-Mendoza, Luis de-Marcos, Daniel Rodríguez, Amparo Alonso-Betanzos
2019 J jnl
Ensembles for feature selection: A review and future trends.
Inf. Fusion
Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2019 J jnl
Insights into distributed feature ranking.
Inf. Sci.
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
2019 J jnl
Large scale anomaly detection in mixed numerical and categorical input spaces.
Inf. Sci.
Carlos Eiras-Franco, David Martínez-Rego, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
2019 J jnl
On developing an automatic threshold applied to feature selection ensembles.
Inf. Fusion
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2019 J jnl
Optimizing novelty and diversity in recommendations.
Prog. Artif. Intell.
Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde
2018 J jnl
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Syst. Man Cybern. Syst.
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2018 B conf
Analysis of imputation bias for feature selection with missing data.
ESANN
Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed
2018 J jnl
On the scalability of feature selection methods on high-dimensional data.
Knowl. Inf. Syst.
Verónica Bolón-Canedo, Diego Fernández-Francos, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2018 — book
Recent Advances in Ensembles for Feature Selection
Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2017 B conf
A distributed approach for classification using distance metrics.
ESANN
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2017 B conf
Algorithmic challenges in big data analytics.
ESANN
Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos
2017 J jnl
Can classification performance be predicted by complexity measures? A study using microarray data.
Knowl. Inf. Syst.
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2017 J jnl
Centralized vs. distributed feature selection methods based on data complexity measures.
Knowl. Based Syst.
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2017 J jnl
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders.
Knowl. Based Syst.
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
2017 J jnl
Ensemble feature selection: Homogeneous and heterogeneous approaches.
Knowl. Based Syst.
Borja Seijo-Pardo, Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2017 B conf
Exploring the consequences of distributed feature selection in DNA microarray data.
IJCNN
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
2017 J jnl
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst.
Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
2017 B conf
Mutual information for improving the efficiency of the SCH algorithm.
ESANN
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown
2017 J jnl
On the use of different base classifiers in multiclass problems.
Prog. Artif. Intell.
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2017 J jnl
On the use of feature selection to improve the detection of sea oil spills in SAR images.
Comput. Geosci.
David Mera, Verónica Bolón-Canedo, José Manuel Cotos, Amparo Alonso-Betanzos
2017 B conf
Paving the way for providing teaching feedback in automatic evaluation of open response assignments.
IJCNN
Verónica Bolón-Canedo, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos
2017 B conf
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.
ESANN
Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego
2017 J jnl
Testing Different Ensemble Configurations for Feature Selection.
Neural Process. Lett.
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2017 J jnl
Volume, variety and velocity in Data Science.
Knowl. Based Syst.
Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José M. Puerta, José C. Riquelme
2016 J jnl
A comparison of performance of K-complex classification methods using feature selection.
Inf. Sci.
Elena Hernández-Pereira, Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Diego Álvarez-Estévez, Vicente Moret-Bonillo, Amparo Alonso-Betanzos
2016 J jnl
A unified pipeline for online feature selection and classification.
Expert Syst. Appl.
Verónica Bolón-Canedo, Diego Fernández-Francos, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2016 J jnl
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2016 B conf
Data complexity measures for analyzing the effect of SMOTE over microarrays.
ESANN
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2016 J jnl
Data discretization: taxonomy and big data challenge.
WIREs Data Mining Knowl. Discov.
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
2016 J jnl
Fault detection via recurrence time statistics and one-class classification.
Pattern Recognit. Lett.
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe
2016 J jnl
Feature selection for high-dimensional data.
Prog. Artif. Intell.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2016 B conf
Machine learning for medical applications.
ESANN
Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho
2016 J jnl
Multithreaded and Spark parallelization of feature selection filters.
J. Comput. Sci.
Carlos Eiras-Franco, Verónica Bolón-Canedo, Sabela Ramos, Jorge González-Domínguez, Amparo Alonso-Betanzos, Juan Touriño
2016 B conf
One-class classification algorithm based on convex hull.
ESANN
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2016 — conf
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures.
CAEPIA
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2016 — conf
Using Data Complexity Measures for Thresholding in Feature Selection Rankers.
CAEPIA
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2016 B conf
Using a feature selection ensemble on DNA microarray datasets.
ESANN
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2015 — conf
A Distributed Feature Selection Approach Based on a Complexity Measure.
IWANN (2)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2015 — conf
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features.
CAEPIA
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2015 J jnl
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments.
Knowl. Based Syst.
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso Lora, Antonio Bahamonde
2015 J jnl
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization.
Neural Process. Lett.
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig, Adina Dumitru, R. García-Mira
2015 B conf
An insight on complexity measures and classification in microarray data.
IJCNN
Verónica Bolón-Canedo, Laura Moran-Fernandez, Amparo Alonso-Betanzos
2015 J jnl
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed.
Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Michael F. Chiang
2015 — conf
Designing Decision Trees for Representing Sustainable Behaviours in Agents.
PAAMS (Special Sessions)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, J. Gareth Polhill, Tony Craig
2015 J jnl
Distributed feature selection: An application to microarray data classification.
Appl. Soft Comput.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2015 — conf
Ensemble Feature Selection for Rankings of Features.
IWANN (2)
Borja Seijo-Pardo, Verónica Bolón-Canedo, Iago Porto-Díaz, Amparo Alonso-Betanzos
2015 — book
Feature Selection for High-Dimensional Data
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2015 — conf
Including Content-Based Methods in Peer-Assessment of Open-Response Questions.
ICDM Workshops
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
2015 B conf
Learning features on tear film lipid layer classification.
ESANN
Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo
2015 B conf
On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment.
ESANN
Verónica Bolón-Canedo, Alba Fernández, Amparo Alonso-Betanzos, Marcos Ortega, Manuel G. Penedo
2015 J jnl
Real-Time Tear Film Classification Through Cost-Based Feature Selection.
Trans. Comput. Collect. Intell.
Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2015 J jnl
Recent advances and emerging challenges of feature selection in the context of big data.
Knowl. Based Syst.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2015 J jnl
Stream change detection via passive-aggressive classification and Bernoulli CUSUM.
Inf. Sci.
David Martínez-Rego, Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2015 — ed.
Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability - The PAAMS Collection, 13th International Conference, PAAMS 2015, Salamanca, Spain, June 3-4, 2015, Special Sessions.
PAAMS (Special Sessions)
Javier Bajo Pérez, Josefa Z. Hernández, Philippe Mathieu, Andrew T. Campbell, Antonio Fernández-Caballero, María N. Moreno, Vicente Julián, Amparo Alonso-Betanzos, María Dolores Jiménez-López, Vicente J. Botti
2014 J jnl
A Methodology for Improving Tear Film Lipid Layer Classification.
IEEE J. Biomed. Health Informatics
Beatriz Remeseiro, Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
2014 J jnl
A framework for cost-based feature selection.
Pattern Recognit.
Verónica Bolón-Canedo, Iago Porto-Díaz, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2014 J jnl
A review of microarray datasets and applied feature selection methods.
Inf. Sci.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
2014 J jnl
Data classification using an ensemble of filters.
Neurocomputing
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2014 A conf
Influence of internal values and social networks for achieving sustainable organizations.
ECAI
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig
2014 — conf
Learning on Vertically Partitioned Data based on Chi-square Feature Selection and Naive Bayes Classification.
ICAART (1)
Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2014 B conf
Modeling consumption of contents and advertising in online newspapers.
ESANN
Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2014 — conf
Scalability Analysis of mRMR for Microarray Data.
ICAART (1)
Diego Rego-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2014 — conf
mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection.
ICAART (1)
Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2013 — conf
A Decision-Making Model for Environmental Behavior in Agent-Based Modeling.
IWANN (1)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Miguel Rodríguez-García, Gary Polhill, Tony Craig
2013 J jnl
A Minimum Volume Covering Approach with a Set of Ellipsoids.
IEEE Trans. Pattern Anal. Mach. Intell.
David Martínez-Rego, Enrique F. Castillo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013 B conf
A distributed wrapper approach for feature selection.
ESANN
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2013 J jnl
A review of feature selection methods on synthetic data.
Knowl. Inf. Syst.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2013 — ed.
Advances in Artificial Intelligence - 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings
CAEPIA
Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, José Ignacio Hidalgo, Luis Martínez-López, Alicia Troncoso Lora, Emilio Corchado, Juan M. Corchado
2013 J jnl
Automatic bearing fault diagnosis based on one-class ν-SVM.
Comput. Ind. Eng.
Diego Fernández-Francos, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013 — conf
Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula.
CAEPIA
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013 J jnl
Toward the scalability of neural networks through feature selection.
Expert Syst. Appl.
Diego Peteiro-Barral, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2012 — conf
An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment.
PAAMS (Special Sessions)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, Tony Craig, R. García-Mira
2012 J jnl
An ensemble of filters and classifiers for microarray data classification.
Pattern Recognit.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2012 J jnl
Information Theoretic Learning and local modeling for binary and multiclass classification.
Prog. Artif. Intell.
Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2012 B conf
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test.
ICTAI
Verónica Bolón-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño
2012 J jnl
Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios.
Pattern Recognit.
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012 B conf
One-class classifier based on extreme value statistics.
ESANN
David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011 J jnl
A robust incremental learning method for non-stationary environments.
Neurocomputing
David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011 J jnl
A study of performance on microarray data sets for a classifier based on information theoretic learning.
Neural Networks
Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2011 J jnl
Combining functional networks and sensitivity analysis as wrapper method for feature selection.
Expert Syst. Appl.
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2011 J jnl
Efficiency of local models ensembles for time series prediction.
Expert Syst. Appl.
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011 J jnl
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset.
Expert Syst. Appl.
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2011 B conf
On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios.
IJCNN
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2011 B conf
Power wind mill fault detection via one-class ν-SVM vibration signal analysis.
IJCNN
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011 J jnl
Reducing dimensionality in a database of sleep EEG arousals.
Expert Syst. Appl.
Diego Álvarez-Estévez, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Vicente Moret-Bonillo
2011 — conf
Scalability Analysis of ANN Training Algorithms with Feature Selection.
CAEPIA
Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
2011 B conf
Statistical dependence measure for feature selection in microarray datasets.
ESANN
Verónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José C. Príncipe
2011 C conf
Toward an ensemble of filters for classification.
ISDA
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2010 — conf
A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System.
KES (1)
Iago Porto-Díaz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2010 J jnl
A new convex objective function for the supervised learning of single-layer neural networks.
Pattern Recognit.
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2010 — conf
Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks.
ICANN (1)
David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2010 — conf
Local Modeling Classifier for Microarray Gene-Expression Data.
ICANN (3)
Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2010 B conf
Multiclass classifiers vs multiple binary classifiers using filters for feature selection.
IJCNN
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Pablo Garcia-Gonzalez, Verónica Bolón-Canedo
2010 B conf
On the effectiveness of discretization on gene selection of microarray data.
IJCNN
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2009 Misc conf
A JADE-Based Framework for Developing Evolutionary Multi-Agent Systems.
PAAMS
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Silvia López-López, Santiago Fernández-Lorenzo, David Alonso-Ríos
2009 J jnl
A Snort-based agent for a JADE multi-agent intrusion detection system.
Int. J. Intell. Inf. Database Syst.
Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, David Alonso-Ríos, Jesús Lago Piñeiro
2009 — conf
A Wrapper Method for Feature Selection in Multiple Classes Datasets.
IWANN (1)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Rosa M. Calvo-Estévez
2009 B conf
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset.
IJCNN
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2009 B conf
A new supervised local modelling classifier based on information theory.
IJCNN
David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos
2009 — conf
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset.
ICANN (1)
Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2009 J jnl
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem.
Expert Syst. Appl.
Elena Hernández-Pereira, Juan A. Suárez-Romero, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2009 — ch.
Feature Selection.
Encyclopedia of Artificial Intelligence
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2008 B conf
A Method for Time Series Prediction using a Combination of Linear Models.
ESANN
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2008 B conf
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis.
ESANN
Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2007 C conf
A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks.
IDEAL
Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2007 — conf
A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture.
KES-AMSTA
Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos, Belén Baldonedo del Río, Jesús Lago Piñeiro
2007 — conf
An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition.
ICANN (2)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Beatriz Pérez-Sánchez
2007 B conf
Classification of computer intrusions using functional networks. A comparative study.
ESANN
Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Félix M. Carballal-Fortes, Juan A. Suárez-Romero, Beatriz Pérez-Sánchez
2007 — conf
Feature Selection Based on Sensitivity Analysis.
CAEPIA
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
2007 C conf
Filter Methods for Feature Selection - A Comparative Study.
IDEAL
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, María Tombilla-Sanromán
2007 J jnl
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition.
Neural Comput.
Enrique F. Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo
2006 C conf
A Fast Classification Algorithm Based on Local Models.
IDEAL
Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2006 J jnl
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis.
J. Mach. Learn. Res.
Enrique F. Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2006 — conf
An Add-On for Managing Behaviours with Priority in JADE.
IAT
Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2006 C conf
Functional Networks and Analysis of Variance for Feature Selection.
IDEAL
Noelia Sánchez-Maroño, María Caamaño-Fernández, Enrique F. Castillo, Amparo Alonso-Betanzos
2005 J jnl
A new method for sleep apnea classification using wavelets and feedforward neural networks.
Artif. Intell. Medicine
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo
2005 — conf
A tool for agent communication in Mozart/Oz.
IAT
Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Cristina Durán-Sanlés
2005 J jnl
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response.
IEEE Trans. Neural Networks
Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2005 — conf
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction.
ICANN (2)
Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos
2005 B conf
a new wrapper method for feature subset selection.
ESANN
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Enrique F. Castillo
2004 J jnl
A measure of fault tolerance for functional networks.
Neurocomputing
Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2004 B conf
Shear strength prediction using dimensional analysis and functional networks.
ESANN
Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2003 B conf
A Bayesian Neural Network Approach for Sleep Apnea Classification.
AIME
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo
2003 — conf
A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function.
IWANN (1)
Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2003 B conf
Accelerating the convergence speed of neural networks learning methods using least squares.
ESANN
Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003 B conf
Accurate initialization of neural network weights by backpropagation of the desired response.
IJCNN
Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen
2003 J jnl
An intelligent system for forest fire risk prediction and fire fighting management in Galicia.
Expert Syst. Appl.
Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas
2003 C conf
Linear Least-Squares Based Methods for Neural Networks Learning.
ICANN
Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003 — conf
Recovering Missing Data with Functional and Bayesian Networks.
IWANN (2)
Enrique F. Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo
2003 B conf
Recursive Least Squares for an Entropy Regularized MSE Cost Function.
ESANN
Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2003 B conf
Self-organizing maps and functional networks for local dynamic modeling.
ESANN
Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2002 J jnl
A Global Optimum Approach for One-Layer Neural Networks.
Neural Comput.
Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2002 A conf
A Neural Network Approach for Forestal Fire Risk Estimation.
ECAI
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
2002 J jnl
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness.
Artif. Intell. Medicine
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2002 J jnl
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system.
Artif. Intell.
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2002 C conf
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks.
ICANN
Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas
2002 — conf
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms.
Advances in Computational Intelligence and Learning
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001 — conf
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis.
IWANN (1)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001 — conf
A Measure of Noise Immunity for Functional Networks.
IWANN (1)
Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001 J jnl
Adaptive pattern recognition in the analysis of cardiotocographic records.
IEEE Trans. Neural Networks
Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2001 — conf
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns.
IWANN (2)
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño
2000 J jnl
Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images.
Image Vis. Comput.
Amparo Alonso-Betanzos, Bernardino Arcay Varela, Alfonso Castro Martínez
1999 J jnl
Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study.
Artif. Intell. Medicine
Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Vicente Moret-Bonillo, Belén Baldonedo del Río
1999 — conf
Prepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity.
IWANN (2)
Bernardino Arcay Varela, Amparo Alonso-Betanzos, Alfonso Castro Martínez, Concepsión Seijo García, Jesús Suarez Bustillo
1998 — conf
A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project.
NC
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas
1998 — conf
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks.
NC
Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe
1997 Misc conf
A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques.
IWANN
Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Belén Baldonedo del Río
1997 Misc conf
A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing.
IWANN
Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Soledad Prados-Méndez, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas
1997 J jnl
Information analysis and validation of intelligent monitoring systems in intensive care units.
IEEE Trans. Inf. Technol. Biomed.
Vicente Moret-Bonillo, Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos
1995 J jnl
The NST-EXPERT project: the need to evolve.
Artif. Intell. Medicine
Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Vicente Moret-Bonillo, S. Lopez-Gonzalez
1991 J jnl
Foetos: an expert system for fetal assessment.
IEEE Trans. Biomed. Eng.
Amparo Alonso-Betanzos, Vicente Moret-Bonillo, Carlos Hernández-Sande
1990 — conf
Towards the implementation of intelligent structures in intensive care monitoring: the advantages of the symbolic pre-processing.
ACM Southeast Regional Conference
Vicente Moret-Bonillo, Amparo Alonso-Betanzos, John R. Searle
1989 J jnl
ESTER: an expert system for management of respiratory weaning therapy.
IEEE Trans. Biomed. Eng.
Carlos Hernández-Sande, Vicente Moret-Bonillo, Amparo Alonso-Betanzos
1989 J jnl
FOETOS in clinical practice: A retrospective analysis of its performance.
Artif. Intell. Medicine
Amparo Alonso-Betanzos, Lawrence D. Devoe, Ramón A. Castillo, Vicente Moret-Bonillo, Carlos Hernández-Sande, Nancy S. Searle