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- affiliation: University of A Coruña, Spain
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2020 – today
- 2025
[j92]Miguel Escarda, Carlos Eiras-Franco, Brais Cancela, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Performance and sustainability of BERT derivatives in dyadic data. Expert Syst. Appl. 262: 125647 (2025)- 2024
- [j91]Jorge Paz-Ruza
, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Positive-Unlabelled learning for identifying new candidate Dietary Restriction-related genes among ageing-related genes. Comput. Biol. Medicine 180: 108999 (2024) - [j90]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) - [j89]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) - [j88]Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco:
Sustainable transparency on recommender systems: Bayesian ranking of images for explainability. Inf. Fusion 111: 102497 (2024) - [j87]Wander Jager, Bertha Guijarro-Berdiñas, Loes Bouman, Patrycja Antosz, Amparo Alonso-Betanzos, Douglas Salt, J. Gareth Polhill, Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño:
Simulating the Role of Norms in Processes of Social Innovation: Three Case Studies. J. Artif. Soc. Soc. Simul. 27(1) (2024) - [e3]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] - [i14]Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco:
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models. CoRR abs/2401.10690 (2024) - [i13]Jorge Paz-Ruza, Alex Alves Freitas, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Positive-Unlabelled Learning for Identifying New Candidate Dietary Restriction-related Genes among Ageing-related Genes. CoRR abs/2406.09898 (2024) - [i12]Álvaro Fernández-Campa-González, Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Positive-Unlabelled Learning for Improving Image-based Recommender System Explainability. CoRR abs/2407.06740 (2024) - 2023
- [j86]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) - [j85]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) - [c91]Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, Amparo Alonso-Betanzos:
Green Machine Learning. ESANN 2023 - [c90]Afonso Lourenço, Carolina Ferraz, Jorge Meira, Goreti Marreiros, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Automated green machine learning for condition-based maintenance. ESANN 2023 - [i11]Alejandro Rodríguez-Arias, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño:
Agent-Based Model: Simulating a Virus Expansion Based on the Acceptance of Containment Measures. CoRR abs/2307.15723 (2023) - [i10]Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco:
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability. CoRR abs/2308.01196 (2023) - 2022
- [j84]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) - [j83]Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
How important is data quality? Best classifiers vs best features. Neurocomputing 470: 365-375 (2022) - [j82]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) - [j81]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) - [c89]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 - [c88]Jorge Paz-Ruza, Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Sustainable Personalisation and Explainability in Dyadic Data Systems. KES 2022: 1017-1026 - [c87]Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, Adina Dumitru, Isabel Lema-Blanco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
How Agent-based modeling can help to foster sustainability projects. KES 2022: 2546-2555 - [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 - [d2]Iñigo López-Riobóo Botana, Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Bertha Guijarro-Berdiñas:
A TripAdvisor Dataset for Dyadic Context Analysis. Zenodo, 2022
- [i9]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) - [i8]Javier Fumanal-Idocin, Oscar Cordón, Maria Minárová, Amparo Alonso-Betanzos, Humberto Bustince:
Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks. CoRR abs/2208.12874 (2022) - [i7]Iñigo López-Riobóo Botana, Carlos Eiras-Franco, Julio Hernandez-Castro, Amparo Alonso-Betanzos:
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces. CoRR abs/2209.04173 (2022) - 2021
- [j80]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) - [j79]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) - [j78]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) - [j77]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 - [d1]Wander Jager, Amparo Alonso-Betanzos, Patrycja Antosz, Loes Bouman, Bertha Guijarro-Berdiñas, David Hales, Gary Polhill, Alejandro Rodríguez-Arias, Doug Salt, Noelia Sánchez-Maroño, Andrea Scalco:
Models of the five SMARTEES case study clusters. Zenodo, 2021 - 2020
- [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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
- [j70]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) - [j69]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) - [j68]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) - [j67]Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Ensembles for feature selection: A review and future trends. Inf. Fusion 52: 1-12 (2019) - [j66]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) - [j65]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) - [j64]Verónica Bolón-Canedo, Konstantinos Sechidis, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Gavin Brown:
Insights into distributed feature ranking. Inf. Sci. 496: 378-398 (2019) - [j63]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) - [j62]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 - [j61]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) - [j60]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
- [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos:
Testing Different Ensemble Configurations for Feature Selection. Neural Process. Lett. 46(3): 857-880 (2017) - [j51]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
- [j50]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) - [j49]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) - [j48]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) - [j47]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Feature selection for high-dimensional data. Prog. Artif. Intell. 5(2): 65-75 (2016) - [j46]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) - [j45]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 - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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, María 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
- [j37]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Data classification using an ensemble of filters. Neurocomputing 135: 13-20 (2014) - [j36]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) - [j35]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) - [j34]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
- [j33]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) - [j32]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) - [j31]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) - [j30]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
- [j29]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) - [j28]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) - [j27]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
- [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN 2011: 511-518 - [c46]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 - [c45]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Toward an ensemble of filters for classification. ISDA 2011: 331-336 - 2010
- [j20]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos:
A new convex objective function for the supervised learning of single-layer neural networks. Pattern Recognit. 43(5): 1984-1992 (2010) - [c44]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 - [c43]David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos:
Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. ICANN (1) 2010: 60-66 - [c42]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
On the effectiveness of discretization on gene selection of microarray data. IJCNN 2010: 1-8 - [c41]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 - [c40]Iago Porto-Díaz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System. KES (1) 2010: 168-177
2000 – 2009
- 2009
- [j19]Elena Hernández-Pereira, Juan A. Suárez-Romero, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem. Expert Syst. Appl. 36(7): 10612-10617 (2009) - [j18]Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, David Alonso-Ríos, Jesús Lago Piñeiro:
A Snort-based agent for a JADE multi-agent intrusion detection system. Int. J. Intell. Inf. Database Syst. 3(1): 107-121 (2009) - [c39]Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero:
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. ICANN (1) 2009: 824-833 - [c38]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 - [c37]David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos:
A new supervised local modelling classifier based on information theory. IJCNN 2009: 2014-2020 - [c36]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Rosa M. Calvo-Estévez:
A Wrapper Method for Feature Selection in Multiple Classes Datasets. IWANN (1) 2009: 456-463 - [c35]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Silvia López-López, Santiago Fernández-Lorenzo, David Alonso-Ríos:
A JADE-Based Framework for Developing Evolutionary Multi-Agent Systems. PAAMS 2009: 339-348 - [r1]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Feature Selection. Encyclopedia of Artificial Intelligence 2009: 632-638 - 2008
- [c34]Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos:
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. ESANN 2008: 289-294 - [c33]David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Method for Time Series Prediction using a Combination of Linear Models. ESANN 2008: 295-300 - 2007
- [j17]Enrique F. Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo:
Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition. Neural Comput. 19(1): 231-257 (2007) - [c32]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
Feature Selection Based on Sensitivity Analysis. CAEPIA 2007: 239-248 - [c31]Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Félix M. Carballal-Fortes, Juan A. Suárez-Romero, Beatriz Pérez-Sánchez:
Classification of computer intrusions using functional networks. A comparative study. ESANN 2007: 579-584 - [c30]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Beatriz Pérez-Sánchez:
An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition. ICANN (2) 2007: 240-249 - [c29]Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. IDEAL 2007: 168-177 - [c28]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, María Tombilla-Sanromán:
Filter Methods for Feature Selection - A Comparative Study. IDEAL 2007: 178-187 - [c27]Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos, Belén Baldonedo del Río, Jesús Lago Piñeiro:
A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture. KES-AMSTA 2007: 466-475 - 2006
- [j16]Enrique F. Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. J. Mach. Learn. Res. 7: 1159-1182 (2006) - [c26]Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
An Add-On for Managing Behaviours with Priority in JADE. IAT 2006: 713-716 - [c25]Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Fast Classification Algorithm Based on Local Models. IDEAL 2006: 249-256 - [c24]Noelia Sánchez-Maroño, María Caamaño-Fernández, Enrique F. Castillo, Amparo Alonso-Betanzos:
Functional Networks and Analysis of Variance for Feature Selection. IDEAL 2006: 1031-1038 - 2005
- [j15]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo:
A new method for sleep apnea classification using wavelets and feedforward neural networks. Artif. Intell. Medicine 34(1): 65-76 (2005) - [j14]Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Trans. Neural Networks 16(2): 325-337 (2005) - [c23]Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Enrique F. Castillo:
a new wrapper method for feature subset selection. ESANN 2005: 515-520 - [c22]Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Cristina Durán-Sanlés:
A tool for agent communication in Mozart/Oz. IAT 2005: 706-710 - [c21]Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos:
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. ICANN (2) 2005: 949-954 - 2004
- [j13]Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
A measure of fault tolerance for functional networks. Neurocomputing 62: 327-347 (2004) - [c20]Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño:
Shear strength prediction using dimensional analysis and functional networks. ESANN 2004: 251-256 - 2003
- [j12]Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas:
An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst. Appl. 25(4): 545-554 (2003) - [c19]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo:
A Bayesian Neural Network Approach for Sleep Apnea Classification. AIME 2003: 284-293 - [c18]Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Self-organizing maps and functional networks for local dynamic modeling. ESANN 2003: 39-44 - [c17]Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Accelerating the convergence speed of neural networks learning methods using least squares. ESANN 2003: 255-260 - [c16]Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN 2003: 451-456 - [c15]Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Linear Least-Squares Based Methods for Neural Networks Learning. ICANN 2003: 84-91 - [c14]Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. IWANN (1) 2003: 270-277 - [c13]Enrique F. Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo:
Recovering Missing Data with Functional and Bayesian Networks. IWANN (2) 2003: 489-496 - 2002
- [j11]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero:
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. Artif. Intell. 136(1): 1-27 (2002) - [j10]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness. Artif. Intell. Medicine 24(1): 71-96 (2002) - [j9]Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Global Optimum Approach for One-Layer Neural Networks. Neural Comput. 14(6): 1429-1449 (2002) - [c12]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. Advances in Computational Intelligence and Learning 2002: 489-500 - [c11]Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muñiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade:
A Neural Network Approach for Forestal Fire Risk Estimation. ECAI 2002: 643-647 - [c10]Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas:
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. ICANN 2002: 945-950 - 2001
- [j8]Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
Adaptive pattern recognition in the analysis of cardiotocographic records. IEEE Trans. Neural Networks 12(5): 1188-1195 (2001) - [c9]Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Measure of Noise Immunity for Functional Networks. IWANN (1) 2001: 293-300 - [c8]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) 2001: 301-307 - [c7]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño:
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. IWANN (2) 2001: 393-400 - 2000
- [j7]Amparo Alonso-Betanzos, Bernardino Arcay Varela, Alfonso Castro Martínez:
Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images. Image Vis. Comput. 18(13): 1045-1054 (2000)
1990 – 1999
- 1999
- [j6]Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Vicente Moret-Bonillo, Belén Baldonedo del Río:
Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study. Artif. Intell. Medicine 17(1): 37-57 (1999) - [c6]Bernardino Arcay Varela, Amparo Alonso-Betanzos, Alfonso Castro Martínez, Concepsión Seijo García, Jesús Suarez Bustillo:
Prepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity. IWANN (2) 1999: 452-459 - 1998
- [c5]Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe:
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. NC 1998: 358-364 - [c4]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas:
A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project. NC 1998: 827-833 - 1997
- [j5]Vicente Moret-Bonillo, Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos:
Information analysis and validation of intelligent monitoring systems in intensive care units. IEEE Trans. Inf. Technol. Biomed. 1(2): 87-99 (1997) - [c3]Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Soledad Prados-Méndez, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas:
A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing. IWANN 1997: 628-633 - [c2]Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Belén Baldonedo del Río:
A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques. IWANN 1997: 995-1004 - 1995
- [j4]Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Vicente Moret-Bonillo, S. Lopez-Gonzalez:
The NST-EXPERT project: the need to evolve. Artif. Intell. Medicine 7(4): 297-313 (1995) - 1991
- [j3]Amparo Alonso-Betanzos, Vicente Moret-Bonillo, Carlos Hernández-Sande:
Foetos: an expert system for fetal assessment. IEEE Trans. Biomed. Eng. 38(2): 199-211 (1991) - 1990
- [c1]Vicente Moret-Bonillo, Amparo Alonso-Betanzos, John R. Searle:
Towards the implementation of intelligent structures in intensive care monitoring: the advantages of the symbolic pre-processing. ACM Southeast Regional Conference 1990: 206
1980 – 1989
- 1989
- [j2]Amparo Alonso-Betanzos, Lawrence D. Devoe, Ramón A. Castillo, Vicente Moret-Bonillo, Carlos Hernández-Sande, Nancy S. Searle:
FOETOS in clinical practice: A retrospective analysis of its performance. Artif. Intell. Medicine 1(2): 93-99 (1989) - [j1]Carlos Hernández-Sande, Vicente Moret-Bonillo, Amparo Alonso-Betanzos:
ESTER: an expert system for management of respiratory weaning therapy. IEEE Trans. Biomed. Eng. 36(5): 559-564 (1989)
Coauthor Index
[j90] [j89] [e3] [j86] [j85] [c91] [c90] [j84] [j83] [j82] [j81] [p1] [d2] [i9] [j78] [j75] [j74] [j73] [c85] [c84] [c83] [c82] [i6] [i4] [j69] [j68] [j67] [j64] [j63] [i2] [b2] [j61] [j60] [c81] [j59] [j58] [j57] [j55] [j53] [j52] [j51] [c80] [c77] [c76] [c75] [j50] [j49] [j48] [j47] [j45] [c74] [c73] [c72] [c70] [c69] [i1] [b1] [j44] [j43] [j40] [j38] [c68] [c67] [c66] [c64] [c63] [c62] [j37] [j36] [j35] [j34] [c58] [c57] [c56] [j32] [j31] [c54] [j28] [c51] [c50] [j26] [j21] [c49] [c48] [c46] [c45] [c44] [c42] [c41] [c38]
Brais Cancela
aka: Brais Cancela-Barizo
aka: Brais Cancela-Barizo
[e3] [j84] [j71] [c78] [j46] [c71] [j43] [j42] [j39] [c61] [c60] [c59] [j33] [j30] [c55] [c53] [j29] [j27] [c52] [c50] [j25] [j22] [j21] [c47] [j20] [c44] [c43] [c40] [j19] [c39] [c37] [c34] [c33] [c29] [j16] [c25] [j15] [j14] [c21] [j13] [c20] [j12] [c19] [c18] [c17] [c16] [c15] [c14] [j11] [j9] [c12] [c11] [c10] [j8] [c9] [c8] [c7] [c5]
[j92] [j91] [j88] [j87] [e3] [i14] [i13] [i12] [i11] [i10] [j84] [c88] [c87] [d2] [i9] [j79] [c86] [d1] [j72] [j70] [j66] [j61] [j50] [j34] [c57] [j32] [c51] [c49] [j20] [j18] [c35] [c34] [j16] [c26] [j15] [c22] [j13] [j12] [c19] [c18] [c14] [j11] [j10] [j9] [c12] [c11] [c10] [j8] [c9] [c8] [c7] [c5] [c4] [c3] [j4]
Laura Moran-Fernandez
aka: Laura Morán-Fernández
aka: Laura Morán-Fernández
[j87] [i11] [c87] [c86] [d1] [j64] [j61] [c76] [j50] [j49] [j47] [b1] [j44] [j40] [j39] [j38] [c63] [c61] [j37] [j36] [j35] [j34] [c60] [c58] [c57] [j32] [j31] [c54] [c53] [j28] [c51] [c50] [j26] [j24] [j23] [c49] [c48] [c46] [c45] [c42] [c41] [c38] [c36] [r1] [j17] [c32] [c31] [c30] [c28] [c24] [c23] [c21] [c20] [c18] [c13] [c7]
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last updated on 2024-12-10 20:48 CET by the dblp team
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