Verónica Bolón-Canedo

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 90

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)
Sunusi Bala Abdullahi, Kosin Chamnongthai, Verónica Bolón-Canedo, Brais Cancela
Spatial-temporal feature-based End-to-end Fourier network for 3D sign language recognition. Expert Syst. Appl. 248 (2024)
Bieito Beceiro, Jorge González-Domínguez, Laura Morán-Fernández, Verónica Bolón-Canedo, Juan Touriño
CUDA acceleration of MI-based feature selection methods. J. Parallel Distributed Comput. 190 (2024)
Jorge Hermo, Verónica Bolón-Canedo, Susana Ladra
Fed-mRMR: A lossless federated feature selection method. Inf. Sci. 669 (2024)
Mariano Garralda-Barrio, Carlos Eiras-Franco, Verónica Bolón-Canedo
A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning. J. Parallel Distributed Comput. 189 (2024)
Laura Morán-Fernández, Verónica Bolón-Canedo
Finding a needle in a haystack: insights on feature selection for classification tasks. J. Intell. Inf. Syst. 62 (2) (2024)
Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
Feature selection for domain adaptation using complexity measures and swarm intelligence. Neurocomputing 548 (2023)
Eva Blanco-Mallo, Verónica Bolón-Canedo, Beatriz Remeseiro
A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation. IDEAL (2023)
Juan Agustín Hitar-García, Laura Morán-Fernández, Verónica Bolón-Canedo
Machine Learning Methods for Predicting League of Legends Game Outcome. IEEE Trans. Games 15 (2) (2023)
Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
Efficient feature selection for domain adaptation using Mutual Information Maximization. ESANN (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)
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
Logarithmic division for green feature selection: an information-theoretic approach. ESANN (2023)
Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo
Do all roads lead to Rome? Studying distance measures in the context of machine learning. Pattern Recognit. 141 (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)
Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
Less is more: Low-precision feature selection for wearables. IJCNN (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)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
How important is data quality? Best classifiers vs best features. Neurocomputing 470 (2022)
Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo
When the best reviews are not placed between extremes. IJCNN (2022)
Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro
The role of feature selection in personalized recommender systems. ESANN (2022)
Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo
Reduced precision discretization based on information theory. 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)
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)
Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández
Feature selection for transfer learning using particle swarm optimization and complexity measures. ESANN (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)
Laura Morán-Fernández, Verónica Bolón-Canedo
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? IWANN (1) (2021)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
E2E-FS: An End-to-End Feature Selection Method for Neural Networks. CoRR (2020)
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
A delayed Elastic-Net approach for performing adversarial attacks. ICPR (2020)
Verónica Bolón-Canedo, Beatriz Remeseiro
Feature selection in image analysis: a survey. Artif. Intell. Rev. 53 (4) (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)
Jorge González-Domínguez, Roberto R. Expósito, Verónica Bolón-Canedo
CUDA-JMI: Acceleration of feature selection on heterogeneous systems. Future Gener. Comput. Syst. 102 (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)
Hassen Dhrif, Verónica Bolón-Canedo, Stefan Wuchty
Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization. ICMLA (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)
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)
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)
Carlos Eiras-Franco, Miguel Flores, Verónica Bolón-Canedo, Sonia Zaragoza, Rubén Fernández-Casal, Salvador Naya, Javier Tarrío-Saavedra
Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings. DATA (2019)
Jorge González-Domínguez, Verónica Bolón-Canedo, Borja Freire, Juan Touriño
Parallel feature selection for distributed-memory clusters. Inf. Sci. 496 (2019)
Marta Fernandes, Alda Canito, Verónica Bolón-Canedo, Luís Conceição, Isabel Praça, Goreti Marreiros
Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry. Int. J. Inf. Manag. 46 (2019)
Beatriz Remeseiro, Verónica Bolón-Canedo
A review of feature selection methods in medical applications. Comput. Biol. Medicine 112 (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)
Verónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela
Feature Selection for Big Visual Data: Overview and Challenges. ICIAR (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)
Marta Fernandes, Alda Canito, Verónica Bolón-Canedo, Luís Conceição, Isabel Praça, Goreti Marreiros
Predictive Maintenance in the Metallurgical Industry: Data Analysis and Feature Selection. WorldCIST (1) (2018)
Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
A distributed approach for classification using distance metrics. 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)
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)
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)
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)
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)
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, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Michael F. Chiang
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity. ISBI (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)
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)
Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo
Learning features on tear film lipid layer classification. ESANN (2015)
Verónica Bolón-Canedo, Michele Donini, Fabio Aiolli
Feature and kernel learning. 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)
Diego Rego-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
Scalability Analysis of mRMR for Microarray Data. ICAART (1) (2014)
Verónica Bolón-Canedo, Iago Porto-Díaz, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
A framework for cost-based feature selection. Pattern Recognit. 47 (7) (2014)
Verónica Bolón-Canedo, Beatriz Remeseiro, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
mC-ReliefF - An Extension of ReliefF for Cost-based Feature Selection. ICAART (1) (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)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal
Toward parallel feature selection from vertically partitioned data. ESANN (2014)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
Data classification using an ensemble of filters. Neurocomputing 135 (2014)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
A review of microarray datasets and applied feature selection methods. Inf. Sci. 282 (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)
Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
A distributed wrapper approach for feature selection. ESANN (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Verónica Bolón-Canedo