Verónica Bolón-Canedo

130 papers B 32C 5Journal 69Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid metaheuristics-Bayesian optimization framework with safe transfer learning for continuous spark tuning. Future Gener. Comput. Syst. Mariano Garralda-Barrio, Carlos Eiras-Franco, Verónica Bolón-Canedo
2026	J	`jnl`	Improving restaurant recommendation transparency through feature selection. Knowl. Inf. Syst. Roger Bagué-Masanés, Beatriz Remeseiro, Verónica Bolón-Canedo
2026	J	`jnl`	Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies. Expert Syst. J. Knowl. Eng. J. Guzmán Figueira-domínguez, Beatriz Remeseiro, Verónica Bolón-Canedo
2025	J	`jnl`	Adaptive incremental transfer learning for efficient performance modeling of big data workloads. Future Gener. Comput. Syst. Mariano Garralda-Barrio, Carlos Eiras-Franco, Verónica Bolón-Canedo
2025	J	`jnl`	Breaking boundaries: Low-precision conditional mutual information for efficient feature selection. Pattern Recognit. Laura Morán-Fernández, Eva Blanco-Mallo, Konstantinos Sechidis, Verónica Bolón-Canedo
2025	—	`conf`	Efficient ReliefF: A Low-Power Optimization of ReliefF for Resource-Constrained Devices. ICANN (1) Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2025	—	`conf`	Fast and Frugal Transfer Learning via Precomputed Features and Adaptive Normalization. IDEAL (1) Daniel Vila-Cruz, Verónica Bolón-Canedo, Laura Morán-Fernández
2025	J	`jnl`	Metabolomic and machine learning enhances patient diagnosis and stratification in systemic autoimmune diseases. Comput. Biol. Medicine Carlos Perez-Sanchez, Antonio Perez-Campoamor, Gema Dolores García-Delgado, Beatriz Vellon-Garcia, Adrián Llamas-Urbano, Laura Romero-Zurita, Pedro Ortiz-Buitrago, Christian Merlo, Tomás Cerdó, Sagrario Corrales, Ismael Sanchez-Pareja, Laura Muñoz-Barrera, María del Carmen Abalos-Aguilera, Nuria Barbarroja, Verónica Bolón-Canedo, Rafaela Ortega-Castro, Jerusalem Calvo, Lourdes Ladehesa, Inmaculada Concepción Aranda-Valera, PRECISESADS Clinical Consortium
2025	—	`conf`	Mitigating Overfitting in Recommender Systems via Intra-domain Transfer Learning. IDEAL (2) Eva Blanco-Mallo, Pablo Pérez-Núñez, Verónica Bolón-Canedo, Beatriz Remeseiro
2025	J	`jnl`	Optimising Resource Use Through Low-Precision Feature Selection: A Performance Analysis of Logarithmic Division and Stochastic Rounding. Expert Syst. J. Knowl. Eng. Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2024	J	`jnl`	A novel framework for generic Spark workload characterization and similar pattern recognition using machine learning. J. Parallel Distributed Comput. Mariano Garralda-Barrio, Carlos Eiras-Franco, Verónica Bolón-Canedo
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	—	`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	J	`jnl`	CUDA acceleration of MI-based feature selection methods. J. Parallel Distributed Comput. Bieito Beceiro, Jorge González-Domínguez, Laura Morán-Fernández, Verónica Bolón-Canedo, Juan Touriño
2024	J	`jnl`	Fed-mRMR: A lossless federated feature selection method. Inf. Sci. Jorge Hermo, Verónica Bolón-Canedo, Susana Ladra
2024	J	`jnl`	Finding a needle in a haystack: insights on feature selection for classification tasks. J. Intell. Inf. Syst. Laura Morán-Fernández, Verónica Bolón-Canedo
2024	C	`conf`	Mutual Information-Based Feature Selection for Federated Learning Environments. ICMLA Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2024	J	`jnl`	Spatial-temporal feature-based End-to-end Fourier network for 3D sign language recognition. Expert Syst. Appl. Sunusi Bala Abdullahi, Kosin Chamnongthai, Verónica Bolón-Canedo, Brais Cancela
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	C	`conf`	A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation. IDEAL Eva Blanco-Mallo, Verónica Bolón-Canedo, Beatriz Remeseiro
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`	Do all roads lead to Rome? Studying distance measures in the context of machine learning. Pattern Recognit. Eva Blanco-Mallo, Laura Morán-Fernández, Beatriz Remeseiro, Verónica Bolón-Canedo
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`	Efficient feature selection for domain adaptation using Mutual Information Maximization. ESANN Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
2023	J	`jnl`	Feature selection for domain adaptation using complexity measures and swarm intelligence. Neurocomputing Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo
2023	B	`conf`	Green Machine Learning. ESANN Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos
2023	B	`conf`	Logarithmic division for green feature selection: an information-theoretic approach. ESANN Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
2023	J	`jnl`	Machine Learning Methods for Predicting League of Legends Game Outcome. IEEE Trans. Games Juan Agustín Hitar-García, Laura Morán-Fernández, Verónica Bolón-Canedo
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`	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`	Feature selection for transfer learning using particle swarm optimization and complexity measures. ESANN Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández
2022	J	`jnl`	How important is data quality? Best classifiers vs best features. Neurocomputing Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2022	B	`conf`	Less is more: Low-precision feature selection for wearables. IJCNN Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo
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`	Reduced precision discretization based on information theory. KES Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo
2022	B	`conf`	The role of feature selection in personalized recommender systems. ESANN Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro
2022	B	`conf`	When the best reviews are not placed between extremes. IJCNN Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo
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	—	`conf`	Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? IWANN (1) Laura Morán-Fernández, Verónica Bolón-Canedo
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	J	`jnl`	CUDA-JMI: Acceleration of feature selection on heterogeneous systems. Future Gener. Comput. Syst. Jorge González-Domínguez, Roberto R. Expósito, Verónica Bolón-Canedo
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	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`	Feature selection in image analysis: a survey. Artif. Intell. Rev. Verónica Bolón-Canedo, Beatriz Remeseiro
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	C	`conf`	Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization. ICMLA Hassen Dhrif, Verónica Bolón-Canedo, Stefan Wuchty
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`	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 review of feature selection methods in medical applications. Comput. Biol. Medicine Beatriz Remeseiro, Verónica Bolón-Canedo
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	C	`conf`	Case Study of Anomaly Detection and Quality Control of Energy Efficiency and Hygrothermal Comfort in Buildings. DATA Carlos Eiras-Franco, Miguel Flores, Verónica Bolón-Canedo, Sonia Zaragoza, Rubén Fernández-Casal, Salvador Naya, Javier Tarrío-Saavedra
2019	J	`jnl`	Data analysis and feature selection for predictive maintenance: A case-study in the metallurgic industry. Int. J. Inf. Manag. Marta Fernandes, Alda Canito, Verónica Bolón-Canedo, Luís Conceição, Isabel Praça, Goreti Marreiros
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`	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`	On developing an automatic threshold applied to feature selection ensembles. Inf. Fusion Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2019	J	`jnl`	Parallel feature selection for distributed-memory clusters. Inf. Sci. Jorge González-Domínguez, Verónica Bolón-Canedo, Borja Freire, Juan Touriño
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	—	`conf`	Feature Selection for Big Visual Data: Overview and Challenges. ICIAR Verónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela
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	—	`conf`	Predictive Maintenance in the Metallurgical Industry: Data Analysis and Feature Selection. WorldCIST (1) Marta Fernandes, Alda Canito, Verónica Bolón-Canedo, Luís Conceição, Isabel Praça, Goreti Marreiros
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`	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	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	J	`jnl`	Testing Different Ensemble Configurations for Feature Selection. Neural Process. Lett. Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
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`	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	—	`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 GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity. ISBI Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Michael F. Chiang
2015	—	`conf`	A Time Efficient Approach for Distributed Feature Selection Partitioning by Features. CAEPIA Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
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	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	B	`conf`	Feature and kernel learning. ESANN Verónica Bolón-Canedo, Michele Donini, Fabio Aiolli
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
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	—	`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	—	`conf`	Scalability Analysis of mRMR for Microarray Data. ICAART (1) Diego Rego-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos
2014	B	`conf`	Toward parallel feature selection from vertically partitioned data. ESANN Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal
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	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	—	`conf`	Scaling Up Feature Selection: A Distributed Filter Approach. CAEPIA Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal
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	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
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`	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	—	`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`	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	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