Amparo Alonso-Betanzos

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 99

Top Venues

Publications

José Luis Morillo-Salas, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
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. 41 (8) (2024)
Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing 599 (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)
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)
Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
Green Machine Learning. ESANN (2023)
Jorge Meira, Bruno Veloso, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos, João Gama
Data-driven predictive maintenance framework for railway systems. Intell. Data Anal. 27 (4) (2023)
Afonso Lourenço, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Automated green machine learning for condition-based maintenance. ESANN (2023)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
E2E-FS: An End-to-End Feature Selection Method for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (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)
Javier Fumanal-Idocin, Oscar Cordón, Maria Minárová, Amparo Alonso-Betanzos, Humberto Bustince
Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks. CoRR (2022)
Jorge Meira, Carlos Eiras-Franco, Verónica Bolón-Canedo, Goreti Marreiros, Amparo Alonso-Betanzos
Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning. Inf. Sci. 607 (2022)
Javier Fumanal-Idocin, Oscar Cordón, Maria Minárová, Amparo Alonso-Betanzos, Humberto Bustince
Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks. HICSS (2022)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
How important is data quality? Best classifiers vs best features. Neurocomputing 470 (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)
Iñigo López-Riobóo Botana, Carlos Eiras-Franco, Julio Hernandez-Castro, Amparo Alonso-Betanzos
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces. CoRR (2022)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Low-precision feature selection on microarray data: an information theoretic approach. Medical Biol. Eng. Comput. 60 (5) (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)
José Luis Morillo-Salas, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Dealing with heterogeneity in the context of distributed feature selection for classification. Knowl. Inf. Syst. 63 (1) (2021)
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
Editor's Note. Int. J. Interact. Multim. Artif. Intell. 6 (5) (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)
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)
Brais Cancela, Amparo Alonso-Betanzos
Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
E2E-FS: An End-to-End Feature Selection Method for Neural Networks. CoRR (2020)
Javier Fumanal-Idocin, Amparo Alonso-Betanzos, Oscar Cordón, Humberto Bustince, Maria Minárová
Community detection and social network analysis based on the Italian wars of the 15th century. Future Gener. Comput. Syst. 113 (2020)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
A delayed Elastic-Net approach for performing adversarial attacks. ICPR (2020)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Do we need hundreds of classifiers or a good feature selection? ESANN (2020)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
A scalable saliency-based feature selection method with instance-level information. Knowl. Based Syst. 192 (2020)
Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems. CoRR (2020)
Laura Morán-Fernández, Konstantinos Sechidis, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Gavin Brown
Feature selection with limited bit depth mutual information for portable embedded systems. Knowl. Based Syst. 197 (2020)
Jorge Meira, Rui Andrade, Isabel Praça, João Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Goreti Marreiros
Performance evaluation of unsupervised techniques in cyber-attack anomaly detection. J. Ambient Intell. Humaniz. Comput. 11 (11) (2020)
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments. IEEE Trans. Syst. Man Cybern. Syst. 50 (2) (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)
Javier Fumanal-Idocin, Amparo Alonso-Betanzos, Oscar Cordón, Humberto Bustince, Maria Minárová
Community detection and Social Network analysis based on the Italian wars of the 15th century. CoRR (2020)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss. ICPR (2020)
Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, Verónica Bolón-Canedo
When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information. IoT Streams/ITEM@PKDD/ECML (2020)
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
Insights into distributed feature ranking. Inf. Sci. 496 (2019)
Raul-Jose Palma-Mendoza, Luis de Marcos, Daniel Rodíiguez, Amparo Alonso-Betanzos
Distributed Correlation-Based Feature Selection in Spark. CoRR (2019)
Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde
Optimizing novelty and diversity in recommendations. Prog. Artif. Intell. 8 (1) (2019)
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
On developing an automatic threshold applied to feature selection ensembles. Inf. Fusion 45 (2019)
Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Ensembles for feature selection: A review and future trends. Inf. Fusion 52 (2019)
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)
Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon
Biases in feature selection with missing data. Neurocomputing 342 (2019)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama
A scalable saliency-based Feature selection method with instance level information. CoRR (2019)
Raul-Jose Palma-Mendoza, Luis de Marcos, Daniel Rodríguez, Amparo Alonso-Betanzos
Distributed correlation-based feature selection in spark. Inf. Sci. 496 (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)
Pablo Montero-Manso, Laura Morán-Fernández, Verónica Bolón-Canedo, José Antonio Vilar, Amparo Alonso-Betanzos
Distributed classification based on distances between probability distributions in feature space. Inf. Sci. 496 (2019)
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)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48 (9) (2018)
Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed
Analysis of imputation bias for feature selection with missing data. ESANN (2018)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
Content-based methods in peer assessment of open-response questions to grade students as authors and as graders. Knowl. Based Syst. 117 (2017)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
A distributed approach for classification using distance metrics. ESANN (2017)
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown
Mutual information for improving the efficiency of the SCH algorithm. ESANN (2017)
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Testing Different Ensemble Configurations for Feature Selection. Neural Process. Lett. 46 (3) (2017)
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
On the use of different base classifiers in multiclass problems. Prog. Artif. Intell. 6 (4) (2017)
Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. ESANN (2017)
David Mera, Verónica Bolón-Canedo, José Manuel Cotos, Amparo Alonso-Betanzos
On the use of feature selection to improve the detection of sea oil spills in SAR images. Comput. Geosci. 100 (2017)
Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32 (2) (2017)
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Can classification performance be predicted by complexity measures? A study using microarray data. Knowl. Inf. Syst. 51 (3) (2017)
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Centralized vs. distributed feature selection methods based on data complexity measures. Knowl. Based Syst. 117 (2017)
Verónica Bolón-Canedo, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Amparo Alonso-Betanzos
Paving the way for providing teaching feedback in automatic evaluation of open response assignments. IJCNN (2017)
Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José Miguel Puerta, José C. Riquelme
Volume, variety and velocity in Data Science. Knowl. Based Syst. 117 (2017)
Borja Seijo-Pardo, Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Ensemble feature selection: Homogeneous and heterogeneous approaches. Knowl. Based Syst. 118 (2017)
Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown
Exploring the consequences of distributed feature selection in DNA microarray data. IJCNN (2017)
Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos
Algorithmic challenges in big data analytics. ESANN (2017)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Data complexity measures for analyzing the effect of SMOTE over microarrays. ESANN (2016)
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Using a feature selection ensemble on DNA microarray datasets. 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)
Elena Hernández-Pereira, Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Diego Álvarez-Estévez, Vicente Moret-Bonillo, Amparo Alonso-Betanzos
A comparison of performance of K-complex classification methods using feature selection. Inf. Sci. 328 (2016)
Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho
Machine learning for medical applications. ESANN (2016)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
Feature selection for high-dimensional data. Prog. Artif. Intell. 5 (2) (2016)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe
Fault detection via recurrence time statistics and one-class classification. Pattern Recognit. Lett. 84 (2016)
Carlos Eiras-Franco, Verónica Bolón-Canedo, Sabela Ramos, Jorge González-Domínguez, Amparo Alonso-Betanzos, Juan Touriño
Multithreaded and Spark parallelization of feature selection filters. J. Comput. Sci. 17 (2016)
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Using Data Complexity Measures for Thresholding in Feature Selection Rankers. CAEPIA (2016)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Selection of the Best Base Classifier in One-Versus-One Using Data Complexity Measures. CAEPIA (2016)
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
One-class classification algorithm based on convex hull. ESANN (2016)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6 (1) (2016)
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR (2016)
Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features. CAEPIA (2015)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig, Adina Dumitru, R. García-Mira
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization. Neural Process. Lett. 42 (1) (2015)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
Recent advances and emerging challenges of feature selection in the context of big data. Knowl. Based Syst. 86 (2015)
Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
Real-Time Tear Film Classification Through Cost-Based Feature Selection. Trans. Comput. Collect. Intell. 20 (2015)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso, Antonio Bahamonde
Including Content-Based Methods in Peer-Assessment of Open-Response Questions. ICDM Workshops (2015)
Oscar Luaces, Jorge Díez, Amparo Alonso-Betanzos, Alicia Troncoso Lora, Antonio Bahamonde
A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments. Knowl. Based Syst. 85 (2015)
Verónica Bolón-Canedo, Alba Fernández, Amparo Alonso-Betanzos, Marcos Ortega, Manuel G. Penedo
On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment. ESANN (2015)
Verónica Bolón-Canedo, Laura Moran-Fernandez, Amparo Alonso-Betanzos
An insight on complexity measures and classification in microarray data. IJCNN (2015)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
A Distributed Feature Selection Approach Based on a Complexity Measure. IWANN (2) (2015)
Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Michael F. Chiang
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. Comput. Methods Programs Biomed. 122 (1) (2015)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
Distributed feature selection: An application to microarray data classification. Appl. Soft Comput. 30 (2015)
Borja Seijo-Pardo, Verónica Bolón-Canedo, Iago Porto-Díaz, Amparo Alonso-Betanzos
Ensemble Feature Selection for Rankings of Features. IWANN (2) (2015)
Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, J. Gareth Polhill, Tony Craig
Designing Decision Trees for Representing Sustainable Behaviours in Agents. PAAMS (Special Sessions) (2015)
David Martínez-Rego, Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Stream change detection via passive-aggressive classification and Bernoulli CUSUM. Inf. Sci. 305 (2015)
Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo
Learning features on tear film lipid layer classification. ESANN (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amparo Alonso-Betanzos