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2020 – today
- 2024
[j57]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)- [j56]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: 123258 (2024) - [j55]Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos:
A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing 599: 128096 (2024) - [j54]Jorge Hermo, Verónica Bolón-Canedo, Susana Ladra:
Fed-mRMR: A lossless federated feature selection method. Inf. Sci. 669: 120609 (2024) - [j53]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): 459-483 (2024) - [j52]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: 104881 (2024) - [j51]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: 104901 (2024) - [e1]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:
Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings. Lecture Notes in Computer Science 14640, Springer 2024, ISBN 978-3-031-62798-9 [contents] - 2023
- [j50]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): 1087-1102 (2023) - [j49]Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo:
Feature selection for domain adaptation using complexity measures and swarm intelligence. Neurocomputing 548: 126422 (2023) - [j48]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): 8311-8323 (2023) - [j47]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: 109646 (2023) - [j46]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): 171-181 (2023) - [c53]Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos:
Green Machine Learning. ESANN 2023 - [c52]Guillermo Castillo García, Laura Morán-Fernández, Verónica Bolón-Canedo:
Efficient feature selection for domain adaptation using Mutual Information Maximization. ESANN 2023 - [c51]Afonso Lourenço, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Automated green machine learning for condition-based maintenance. ESANN 2023 - [c50]Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Logarithmic division for green feature selection: an information-theoretic approach. ESANN 2023 - [c49]Eva Blanco-Mallo, Verónica Bolón-Canedo, Beatriz Remeseiro:
A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation. IDEAL 2023: 22-27 - 2022
- [j45]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): 6413-6431 (2022) - [j44]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
How important is data quality? Best classifiers vs best features. Neurocomputing 470: 365-375 (2022) - [j43]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: 1245-1264 (2022) - [j42]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): 1333-1345 (2022) - [c48]Roger Bagué-Masanés, Verónica Bolón-Canedo, Beatriz Remeseiro:
The role of feature selection in personalized recommender systems. ESANN 2022 - [c47]Verónica Bolón-Canedo, Guillermo Castillo García, Laura Morán-Fernández:
Feature selection for transfer learning using particle swarm optimization and complexity measures. ESANN 2022 - [c46]Eva Blanco-Mallo, João Carneiro, Goreti Marreiros, Beatriz Remeseiro, Verónica Bolón-Canedo:
When the best reviews are not placed between extremes. IJCNN 2022: 1-8 - [c45]Samuel Suárez-Marcote, Laura Morán-Fernández, Verónica Bolón-Canedo:
Less is more: Low-precision feature selection for wearables. IJCNN 2022: 1-8 - [c44]Brais Ares, Laura Morán-Fernández, Verónica Bolón-Canedo:
Reduced precision discretization based on information theory. KES 2022: 887-896 - [p1]Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Laura Morán-Fernández, Brais Cancela:
Feature Selection: From the Past to the Future. Advances in Selected Artificial Intelligence Areas 2022: 11-34 - [d1]Iñigo López-Riobóo Botana, Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Bertha Guijarro-Berdiñas:
A TripAdvisor Dataset for Dyadic Context Analysis. Zenodo, 2022
- [i5]Iñigo López-Riobóo Botana, Verónica Bolón-Canedo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency. CoRR abs/2205.01759 (2022) - 2021
- [j41]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): 233-276 (2021) - [c43]Laura Morán-Fernández, Verónica Bolón-Canedo:
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? IWANN (1) 2021: 113-125 - 2020
- [j40]Verónica Bolón-Canedo, Beatriz Remeseiro:
Feature selection in image analysis: a survey. Artif. Intell. Rev. 53(4): 2905-2931 (2020) - [j39]Jorge González-Domínguez, Roberto R. Expósito, Verónica Bolón-Canedo:
CUDA-JMI: Acceleration of feature selection on heterogeneous systems. Future Gener. Comput. Syst. 102: 426-436 (2020) - [j38]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): 4477-4489 (2020) - [j37]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: 105326 (2020) - [j36]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: 105885 (2020) - [c42]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Do we need hundreds of classifiers or a good feature selection? ESANN 2020: 399-404 - [c41]Hassen Dhrif, Verónica Bolón-Canedo, Stefan Wuchty:
Gene Subset Selection for Transfer Learning using Bilevel Particle Swarm Optimization. ICMLA 2020: 1317-1323 - [c40]Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A delayed Elastic-Net approach for performing adversarial attacks. ICPR 2020: 378-384 - [c39]Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Can data placement be effective for Neural Networks classification tasks? Introducing the Orthogonal Loss. ICPR 2020: 392-399 - [c38]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: 243-255 - [i4]Eva Blanco-Mallo, Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems. CoRR abs/2003.06205 (2020) - [i3]Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
E2E-FS: An End-to-End Feature Selection Method for Neural Networks. CoRR abs/2012.07671 (2020)
2010 – 2019
- 2019
- [j35]Beatriz Remeseiro, Verónica Bolón-Canedo:
A review of feature selection methods in medical applications. Comput. Biol. Medicine 112 (2019) - [j34]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: 252-262 (2019) - [j33]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: 97-112 (2019) - [j32]Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
On developing an automatic threshold applied to feature selection ensembles. Inf. Fusion 45: 227-245 (2019) - [j31]Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Ensembles for feature selection: A review and future trends. Inf. Fusion 52: 1-12 (2019) - [j30]Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Insights into distributed feature ranking. Inf. Sci. 496: 378-398 (2019) - [j29]Jorge González-Domínguez, Verónica Bolón-Canedo, Borja Freire, Juan Touriño:
Parallel feature selection for distributed-memory clusters. Inf. Sci. 496: 399-409 (2019) - [j28]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: 431-450 (2019) - [c37]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: 145-151 - [i2]Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, João Gama:
A scalable saliency-based Feature selection method with instance level information. CoRR abs/1904.13127 (2019) - 2018
- [b2]Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Recent Advances in Ensembles for Feature Selection. Intelligent Systems Reference Library 147, Springer 2018, ISBN 978-3-319-90079-7, pp. 1-205 - [j27]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): 395-442 (2018) - [j26]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): 1441-1453 (2018) - [c36]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 - [c35]Verónica Bolón-Canedo, Beatriz Remeseiro, Brais Cancela:
Feature Selection for Big Visual Data: Overview and Challenges. ICIAR 2018: 136-143 - [c34]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: 478-489 - 2017
- [j25]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: 166-178 (2017) - [j24]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): 134-152 (2017) - [j23]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): 1067-1090 (2017) - [j22]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Centralized vs. distributed feature selection methods based on data complexity measures. Knowl. Based Syst. 117: 27-45 (2017) - [j21]Borja Seijo-Pardo, Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Ensemble feature selection: Homogeneous and heterogeneous approaches. Knowl. Based Syst. 118: 124-139 (2017) - [j20]Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Testing Different Ensemble Configurations for Feature Selection. Neural Process. Lett. 46(3): 857-880 (2017) - [j19]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
On the use of different base classifiers in multiclass problems. Prog. Artif. Intell. 6(4): 315-323 (2017) - [c33]Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos:
Algorithmic challenges in big data analytics. ESANN 2017 - [c32]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A distributed approach for classification using distance metrics. ESANN 2017 - [c31]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: 1665-1672 - [c30]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: 3447-3453 - 2016
- [j18]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: 532-545 (2016) - [j17]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: 1-14 (2016) - [j16]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: 609-619 (2016) - [j15]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Feature selection for high-dimensional data. Prog. Artif. Intell. 5(2): 65-75 (2016) - [j14]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): 5-21 (2016) - [c29]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: 110-120 - [c28]Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Using Data Complexity Measures for Thresholding in Feature Selection Rankers. CAEPIA 2016: 121-131 - [c27]Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho:
Machine learning for medical applications. ESANN 2016 - [c26]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Data complexity measures for analyzing the effect of SMOTE over microarrays. ESANN 2016 - [c25]Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Using a feature selection ensemble on DNA microarray datasets. ESANN 2016 - [i1]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 abs/1610.04154 (2016) - 2015
- [b1]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Feature Selection for High-Dimensional Data. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2015, ISBN 978-3-319-21857-1, pp. 1-132 - [j13]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Distributed feature selection: An application to microarray data classification. Appl. Soft Comput. 30: 136-150 (2015) - [j12]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): 1-15 (2015) - [j11]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: 33-45 (2015) - [j10]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: 78-98 (2015) - [c24]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features. CAEPIA 2015: 245-254 - [c23]Verónica Bolón-Canedo, Michele Donini, Fabio Aiolli:
Feature and kernel learning. ESANN 2015 - [c22]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 - [c21]Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo:
Learning features on tear film lipid layer classification. ESANN 2015 - [c20]Verónica Bolón-Canedo, Laura Moran-Fernandez, Amparo Alonso-Betanzos:
An insight on complexity measures and classification in microarray data. IJCNN 2015: 1-8 - [c19]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: 1498-1501 - [c18]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A Distributed Feature Selection Approach Based on a Complexity Measure. IWANN (2) 2015: 15-28 - [c17]Borja Seijo-Pardo, Verónica Bolón-Canedo, Iago Porto-Díaz, Amparo Alonso-Betanzos:
Ensemble Feature Selection for Rankings of Features. IWANN (2) 2015: 29-42 - 2014
- [j9]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Data classification using an ensemble of filters. Neurocomputing 135: 13-20 (2014) - [j8]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: 111-135 (2014) - [j7]Verónica Bolón-Canedo, Iago Porto-Díaz, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A framework for cost-based feature selection. Pattern Recognit. 47(7): 2481-2489 (2014) - [j6]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): 1485-1493 (2014) - [c16]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal:
Toward parallel feature selection from vertically partitioned data. ESANN 2014 - [c15]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: 42-51 - [c14]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: 350-357 - [c13]Diego Rego-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Scalability Analysis of mRMR for Microarray Data. ICAART (1) 2014: 380-386 - 2013
- [j5]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): 2807-2816 (2013) - [j4]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A review of feature selection methods on synthetic data. Knowl. Inf. Syst. 34(3): 483-519 (2013) - [c12]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Joana Cerviño-Rabuñal:
Scaling Up Feature Selection: A Distributed Filter Approach. CAEPIA 2013: 121-130 - [c11]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A distributed wrapper approach for feature selection. ESANN 2013 - 2012
- [j3]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
An ensemble of filters and classifiers for microarray data classification. Pattern Recognit. 45(1): 531-539 (2012) - [c10]Verónica Bolón-Canedo, Diego Peteiro-Barral, Beatriz Remeseiro, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Antonio Mosquera González, Manuel G. Penedo, Noelia Sánchez-Maroño:
Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test. ICTAI 2012: 359-366 - [c9]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, Tony Craig, R. García-Mira:
An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. PAAMS (Special Sessions) 2012: 257-264 - 2011
- [j2]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset. Expert Syst. Appl. 38(5): 5947-5957 (2011) - [j1]Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero:
A study of performance on microarray data sets for a classifier based on information theoretic learning. Neural Networks 24(8): 888-896 (2011) - [c8]Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño:
Scalability Analysis of ANN Training Algorithms with Feature Selection. CAEPIA 2011: 84-93 - [c7]Verónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José C. Príncipe:
Statistical dependence measure for feature selection in microarray datasets. ESANN 2011 - [c6]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
On the behavior of feature selection methods dealing with noise and relevance over synthetic scenarios. IJCNN 2011: 1530-1537 - [c5]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Toward an ensemble of filters for classification. ISDA 2011: 331-336 - 2010
- [c4]Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero:
Local Modeling Classifier for Microarray Gene-Expression Data. ICANN (3) 2010: 11-20 - [c3]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
On the effectiveness of discretization on gene selection of microarray data. IJCNN 2010: 1-8 - [c2]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Pablo Garcia-Gonzalez, Verónica Bolón-Canedo:
Multiclass classifiers vs multiple binary classifiers using filters for feature selection. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c1]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset. IJCNN 2009: 359-366
Coauthor Index
[j57] [j55] [e1] [j50] [j48] [c53] [c51] [j45] [j44] [j43] [j42] [p1] [d1] [i5] [j41] [j38] [j37] [j36] [c42] [c40] [c39] [c38] [i4] [i3] [j33] [j32] [j31] [j30] [j28] [i2] [b2] [j27] [j26] [c36] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [c33] [c32] [c31] [c30] [j18] [j17] [j16] [j15] [j14] [c29] [c28] [c27] [c26] [c25] [i1] [b1] [j13] [j12] [j11] [j10] [c24] [c22] [c21] [c20] [c18] [c17] [j9] [j8] [j7] [j6] [c15] [c14] [c13] [j5] [j4] [c11] [j3] [c10] [c9] [j2] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Brais Cancela
aka: Brais Cancela-Barizo
aka: Brais Cancela-Barizo
Laura Moran-Fernandez
aka: Laura Morán-Fernández
aka: Laura Morán-Fernández
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