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- affiliation: University of A Coruña, Spain
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2020 – today
- 2022
[j81]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)- [j80]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
How important is data quality? Best classifiers vs best features. Neurocomputing 470: 365-375 (2022) - [j79]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) - [c87]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: 1-8 - [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 - [i7]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
- [j78]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): 4-7 (2021) - [j77]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): 6161-6179 (2021) - [j76]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) - [j75]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): 4177-4188 (2021) - [c86]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: 128-140 - 2020
- [j74]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: 25-40 (2020) - [j73]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) - [j72]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) - [j71]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) - [j70]Carlos Eiras-Franco, David Martínez-Rego, Leslie Kanthan, César Piñeiro, Antonio Bahamonde, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing. ACM Trans. Intell. Syst. Technol. 11(6): 71:1-71:18 (2020) - [j69]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): 386-396 (2020) - [c85]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Do we need hundreds of classifiers or a good feature selection? ESANN 2020: 399-404 - [c84]Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A delayed Elastic-Net approach for performing adversarial attacks. ICPR 2020: 378-384 - [c83]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 - [c82]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 - [i6]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) - [i5]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 abs/2007.02641 (2020) - [i4]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
- [j68]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) - [j67]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) - [j66]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) - [j65]Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Ensembles for feature selection: A review and future trends. Inf. Fusion 52: 1-12 (2019) - [j64]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: 115-127 (2019) - [j63]Raul-Jose Palma-Mendoza, Luis de Marcos, Daniel Rodríguez, Amparo Alonso-Betanzos:
Distributed correlation-based feature selection in spark. Inf. Sci. 496: 287-299 (2019) - [j62]Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Insights into distributed feature ranking. Inf. Sci. 496: 378-398 (2019) - [j61]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) - [j60]Jorge Díez, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Luaces, Antonio Bahamonde:
Optimizing novelty and diversity in recommendations. Prog. Artif. Intell. 8(1): 101-109 (2019) - [i3]Raul-Jose Palma-Mendoza, Luis de Marcos, Daniel Rodíiguez, Amparo Alonso-Betanzos:
Distributed Correlation-Based Feature Selection in Spark. CoRR abs/1901.11286 (2019) - [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 - [j59]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) - [j58]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) - [c81]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 - 2017
- [j57]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) - [j56]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) - [j55]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) - [j54]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: 1-2 (2017) - [j53]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) - [j52]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: 79-87 (2017) - [j51]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) - [j50]Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Testing Different Ensemble Configurations for Feature Selection. Neural Process. Lett. 46(3): 857-880 (2017) - [j49]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) - [c80]Verónica Bolón-Canedo, Beatriz Remeseiro, Konstantinos Sechidis, David Martínez-Rego, Amparo Alonso-Betanzos:
Algorithmic challenges in big data analytics. ESANN 2017 - [c79]Carlos Eiras-Franco, Leslie Kanthan, Amparo Alonso-Betanzos, David Martínez-Rego:
Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing. ESANN 2017 - [c78]Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown:
Mutual information for improving the efficiency of the SCH algorithm. ESANN 2017 - [c77]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A distributed approach for classification using distance metrics. ESANN 2017 - [c76]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 - [c75]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
- [j48]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) - [j47]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) - [j46]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) - [j45]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Feature selection for high-dimensional data. Prog. Artif. Intell. 5(2): 65-75 (2016) - [j44]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: 8-14 (2016) - [j43]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) - [c74]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 - [c73]Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Using Data Complexity Measures for Thresholding in Feature Selection Rankers. CAEPIA 2016: 121-131 - [c72]Verónica Bolón-Canedo, Beatriz Remeseiro, Amparo Alonso-Betanzos, Aurélio Campilho:
Machine learning for medical applications. ESANN 2016 - [c71]Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
One-class classification algorithm based on convex hull. ESANN 2016 - [c70]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Data complexity measures for analyzing the effect of SMOTE over microarrays. ESANN 2016 - [c69]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 - [j42]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) - [j41]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) - [j40]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: 130-145 (2015) - [j39]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: 322-328 (2015) - [j38]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) - [j37]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): 89-118 (2015) - [j36]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) - [c68]Laura Moran-Fernandez, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
A Time Efficient Approach for Distributed Feature Selection Partitioning by Features. CAEPIA 2015: 245-254 - [c67]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 - [c66]Beatriz Remeseiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Manuel G. Penedo:
Learning features on tear film lipid layer classification. ESANN 2015 - [c65]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: 273-279 - [c64]Verónica Bolón-Canedo, Laura Moran-Fernandez, Amparo Alonso-Betanzos:
An insight on complexity measures and classification in microarray data. IJCNN 2015: 1-8 - [c63]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A Distributed Feature Selection Approach Based on a Complexity Measure. IWANN (2) 2015: 15-28 - [c62]Borja Seijo-Pardo, Verónica Bolón-Canedo, Iago Porto-Díaz, Amparo Alonso-Betanzos:
Ensemble Feature Selection for Rankings of Features. IWANN (2) 2015: 29-42 - [c61]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: 169-176 - [e2]Javier Bajo Pérez, Josefa Z. Hernández, Philippe Mathieu, Andrew T. Campbell, Antonio Fernández-Caballero, María N. Moreno, Vicente Julián, Amparo Alonso-Betanzos, Maria Dolores Jiménez-López, Vicente J. Botti:
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. Advances in Intelligent Systems and Computing 372, Springer 2015, ISBN 978-3-319-19628-2 [contents] - 2014
- [j35]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Data classification using an ensemble of filters. Neurocomputing 135: 13-20 (2014) - [j34]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) - [j33]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) - [j32]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) - [c60]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig:
Influence of internal values and social networks for achieving sustainable organizations. ECAI 2014: 1179-1184 - [c59]Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Modeling consumption of contents and advertising in online newspapers. ESANN 2014 - [c58]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 - [c57]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 - [c56]Diego Rego-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Scalability Analysis of mRMR for Microarray Data. ICAART (1) 2014: 380-386 - 2013
- [j31]Diego Fernández-Francos, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Automatic bearing fault diagnosis based on one-class ν-SVM. Comput. Ind. Eng. 64(1): 357-365 (2013) - [j30]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) - [j29]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) - [j28]David Martínez-Rego, Enrique F. Castillo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Minimum Volume Covering Approach with a Set of Ellipsoids. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2997-3009 (2013) - [c55]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula. CAEPIA 2013: 149-158 - [c54]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A distributed wrapper approach for feature selection. ESANN 2013 - [c53]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Miguel Rodríguez-García, Gary Polhill, Tony Craig:
A Decision-Making Model for Environmental Behavior in Agent-Based Modeling. IWANN (1) 2013: 152-160 - [e1]Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, José Ignacio Hidalgo, Luis Martínez-López, Alicia Troncoso Lora, Emilio Corchado, Juan M. Corchado:
Advances in Artificial Intelligence - 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings. Lecture Notes in Computer Science 8109, Springer 2013, ISBN 978-3-642-40642-3 [contents] - 2012
- [j27]Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero:
Information Theoretic Learning and local modeling for binary and multiclass classification. Prog. Artif. Intell. 1(4): 315-328 (2012) - [j26]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) - [j25]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. Pattern Recognit. 45(12): 4536-4546 (2012) - [c52]David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
One-class classifier based on extreme value statistics. ESANN 2012 - [c51]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 - [c50]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
- [j24]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) - [j23]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. 38(6): 6884-6894 (2011) - [j22]Diego Álvarez-Estévez, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Vicente Moret-Bonillo:
Reducing dimensionality in a database of sleep EEG arousals. Expert Syst. Appl. 38(6): 7746-7754 (2011) - [j21]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Combining functional networks and sensitivity analysis as wrapper method for feature selection. Expert Syst. Appl. 38(10): 12930-12938 (2011) - [j20]David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A robust incremental learning method for non-stationary environments. Neurocomputing 74(11): 1800-1808 (2011) - [j19]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) - [c49]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 - [c48]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 - [c47]