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ORCIDOscar Fontenla-Romero
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- affiliation: University of A Coruña, Spain
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2020 – today
- 2024
[j37]David Novoa-Paradela
, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? Eng. Appl. Artif. Intell. 133: 108065 (2024)- [j36]Álvaro Michelena, José Aveleira-Mata, Esteban Jove, Martín Bayón-Gutiérrez, Paulo Novais, Oscar Fontenla-Romero, José Luís Calvo-Rolle, Héctor Alaiz-Moretón:
A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [c67]Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques. HAIS (2) 2024: 3-12 - [c66]Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernandez-Paz:
RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. SAC 2024: 565-571 - [c65]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez:
An effective and efficient green federated learning method for one-layer neural networks. SAC 2024: 1050-1052 - [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
- [j35]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez:
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. Future Gener. Comput. Syst. 149: 200-211 (2023) - [j34]David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
A One-Class Classification method based on Expanded Non-Convex Hulls. Inf. Fusion 89: 1-15 (2023) - [j33]David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Fast deep autoencoder for federated learning. Pattern Recognit. 143: 109805 (2023) - [c64]Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
A Novel Method for Failure Detection Based on Real-Time Systems Identification. CISIS-ICEUTE 2023: 49-58 - [c63]Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Francisco Javier de Cos Juez, Héctor Alaiz-Moretón, Dragan Simic, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. DCAI (3) 2023: 1-10 - [c62]Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, Héctor Quintián, Héctor Alaiz-Moretón, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. DCAI (3) 2023: 11-20 - [c61]Antonio Díaz-Longueira, Míriam Timiraos, Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, Roberto Casado-Vara, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters. DCAI (3) 2023: 61-70 - [c60]Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Esteban Jove, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. SOCO (1) 2023: 155-164 - [c59]David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Diego Orellana-Cañás:
A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders. WETICE 2023: 1-6 - [i3]David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? CoRR abs/2311.04948 (2023) - [i2]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez:
An effective and efficient green federated learning method for one-layer neural networks. CoRR abs/2312.14528 (2023) - 2022
- [j32]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) - [c58]Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids. CISIS-ICEUTE 2022: 40-51 - [c57]Álvaro Michelena Grandío, Francisco Zayas-Gato, Esteban Jove, Oscar Fontenla-Romero, José Luís Calvo-Rolle:
Comparative study of anomaly detection techniques for monitoring Lithium Iron Phosphate - LiFePO4 batteries. XoveTIC 2022: 80-82 - [i1]David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Fast Deep Autoencoder for Federated learning. CoRR abs/2206.05136 (2022) - 2021
- [j31]Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas:
DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification. Int. J. Intell. Syst. 36(1): 177-199 (2021) - [c56]Sara Guerreiro-Santalla, Francisco Bellas, Oscar Fontenla-Romero:
The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students. AIED (2) 2021: 88-92 - [c55]Oscar Fontenla-Romero, Francisco Bellas, Noelia Sánchez-Maroño, José Antonio Becerra:
Learning by Doing in Higher Education: An Experience to Increase Self-learning and Motivation in First Courses. CISIS-ICEUTE 2021: 336-345 - [c54]Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Federated Learning approach for SpectralClustering. ESANN 2021 - [c53]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) 2021: 343-355 - 2020
- [j30]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) - [c52]David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Online learning for anomaly detection via subdivisible convex hulls. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [j29]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
A review of adaptive online learning for artificial neural networks. Artif. Intell. Rev. 49(2): 281-299 (2018) - [j28]Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas:
An incremental non-iterative learning method for one-layer feedforward neural networks. Appl. Soft Comput. 70: 951-958 (2018) - [j27]Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas:
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3900-3905 (2018) - [c51]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal:
LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. ESANN 2018 - 2017
- [c50]Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown:
Mutual information for improving the efficiency of the SCH algorithm. ESANN 2017 - 2016
- [j26]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) - [c49]Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
One-class classification algorithm based on convex hull. ESANN 2016 - [c48]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego:
A fast learning algorithm for high dimensional problems: an application to microarrays. ESANN 2016 - [c47]Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández:
Distributed learning algorithm for feedforward neural networks. ESANN 2016 - [c46]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño:
Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. ICANN (2) 2016: 398-405 - 2015
- [j25]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) - [j24]Enrique F. Castillo, Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero:
Distributed One-Class Support Vector Machine. Int. J. Neural Syst. 25(7): 1550029:1-1550029:17 (2015) - [j23]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) - [j22]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) - [c45]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño:
One-Class Classification for Microarray Datasets with Feature Selection. EANN 2015: 325-334 - [c44]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño:
Selecting target concept in one-class classification for handling class imbalance problem. IJCNN 2015: 1-8 - [c43]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 - 2014
- [j21]José Luís Calvo-Rolle, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas:
Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. Informatica 25(3): 401-414 (2014) - [c42]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 - [c41]Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Modeling consumption of contents and advertising in online newspapers. ESANN 2014 - [c40]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Self-adaptive Topology Neural Network for Online Incremental Learning. ICAART (1) 2014: 94-101 - [c39]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. ICAART (Revised Selected Papers) 2014: 194-210 - 2013
- [j20]Enrique F. Castillo, Roberto Mínguez, Antonio J. Conejo, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero:
Estimating the parameters of a fatigue model using Benders' decomposition. Ann. Oper. Res. 210(1): 309-331 (2013) - [j19]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) - [j18]Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero:
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks. Expert Syst. Appl. 40(10): 3900-3905 (2013) - [j17]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, David Martínez-Rego:
An online learning algorithm for adaptable topologies of neural networks. Expert Syst. Appl. 40(18): 7294-7304 (2013) - [j16]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) - [c38]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 - [c37]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 - 2012
- [j15]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) - [j14]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) - [c36]David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
One-class classifier based on extreme value statistics. ESANN 2012 - [c35]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
- [j13]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) - [j12]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) - [j11]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) - [c34]Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero:
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. ESANN 2011 - [c33]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 - 2010
- [j10]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) - [c32]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 - [c31]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 - [c30]Bertha Guijarro-Berdiñas, Santiago Fernández-Lorenzo, Noelia Sánchez-Maroño, Oscar Fontenla-Romero:
A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. ICANN (1) 2010: 415-421 - [c29]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
An incremental learning method for neural networks in adaptive environments. IJCNN 2010: 1-8 - [c28]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
- [j9]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) - [c27]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA 2009: 42-50 - [c26]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 - [c25]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 - [c24]Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas:
A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. IWANN (1) 2009: 157-164 - [r1]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Functional Networks. Encyclopedia of Artificial Intelligence 2009: 667-676 - 2008
- [c23]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 - [c22]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
- [c21]Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela:
A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) 2007: 190-198 - [c20]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 - [c19]Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela:
A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL 2007: 365-374 - [c18]Ruben M. Rodriguez-Pena, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero:
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. IJCNN 2007: 1607-1612 - 2006
- [j8]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) - [c17]Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
A Fast Classification Algorithm Based on Local Models. IDEAL 2006: 249-256 - 2005
- [j7]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) - [j6]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) - [c16]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
- [j5]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) - [c15]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
- [j4]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) - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - 2002
- [j3]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) - [j2]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) - [c8]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 - [c7]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 - [c6]Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Oscar Fontenla-Romero, Luis Vielva:
An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. EUSIPCO 2002: 1-4 - [c5]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
- [j1]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) - [c4]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 - [c3]Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) 2001: 301-307 - [c2]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
1990 – 1999
- 1998
- [c1]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
Coauthor Index
[e1] [j32] [j30] [c50] [j26] [c49] [j25] [j23] [j22] [c43] [c42] [c41] [j19] [j16] [c38] [c37] [j15] [j14] [c36] [c35] [j13] [j12] [j11] [c33] [j10] [c32] [c31] [c28] [j9] [c26] [c25] [c23] [c22] [c20] [j8] [c17] [j7] [j6] [c16] [j5] [c15] [j4] [c14] [c13] [c12] [c11] [c10] [c9] [j3] [j2] [c8] [c7] [c5] [j1] [c4] [c3] [c2] [c1]
Álvaro Michelena Grandío
aka: Álvaro Michelena
aka: Álvaro Michelena
[j37] [c66] [c65] [e1] [j35] [j34] [j33] [c59] [i3] [i2] [j32] [i1] [j31] [c54] [c53] [c52] [j29] [j28] [j27] [c51] [c48] [c47] [j24] [j21] [c40] [c39] [j18] [j17] [c34] [j10] [c30] [c29] [c27] [c24] [r1] [c23] [c21] [c19] [j8] [j7] [j5] [j4] [c14] [c13] [c9] [j3] [j2] [c8] [c7] [c5] [j1] [c4] [c3] [c2] [c1]
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