Oscar Fontenla-Romero

126 papers A 2B 24C 7Misc 2Journal 48Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Development of virtual sensors using multi-plant data for wastewater treatment applications: a case study on nitrogen prediction in effluents. Log. J. IGPL Míriam Timiraos, Manuel Rubiños, Marta-María Álvarez-Crespo, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2026	J	`jnl`	FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments. CoRR Alejandro Dopico-Castro, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Iván Pérez Digón
2026	J	`jnl`	Intelligent observer for fault detection and data recovery for small wind turbine. Log. J. IGPL Antonio Díaz-Longueira, Marta-María Álvarez-Crespo, Álvaro Michelena, Míriam Timiraos, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	—	`conf`	A Hybrid Modelling Approach for Forecasting the Acquired Electrical Power from Photovoltaic Panels. HAIS (2) Anabel Díaz-Labrador, Ángel Delgado, Héctor J. Pérez-Iglesias, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	—	`conf`	A New Approach to Detecting Occupational Diseases Using Time Series. IWANN (2) Antonio Díaz-Longueira, Noel Freire-Mahía, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	J	`jnl`	A review and future trends of precision livestock over dairy and beef cow cattle with artificial intelligence. Log. J. IGPL Álvaro Michelena, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	J	`jnl`	Comparative analysis of unsupervised anomaly detection techniques for heat detection in dairy cattle. Neurocomputing Álvaro Michelena, Antonio Díaz-Longueira, Paulo Novais, Dragan Simic, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	J	`jnl`	Efficient Single-Step Framework for Incremental Class Learning in Neural Networks. CoRR Alejandro Dopico-Castro, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2025	B	`conf`	Efficient and Secure Federated Learning with Ensemble of One-Layer Neural Networks. IJCNN Abel Pampín-Rodríguez, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas
2025	J	`jnl`	Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems. Log. J. IGPL Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2025	—	`conf`	Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption. ICAART (3) Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernández-Paz
2025	J	`jnl`	ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals. IEEE Trans. Learn. Technol. Javier Ortega-Morla, Antonio Leis, Alma Mallo, Laura Morán-Fernández, Sara Guerreiro-Santalla, Alejandro Paz-Lopez, Beatriz Pérez-Sánchez, Noelia Sánchez-Maroño, Alejandro Rodríguez-Arias, Oscar Fontenla-Romero, Francisco Bellas
2025	—	`conf`	Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications. IWANN (2) Anabel Díaz-Labrador, Ángel Delgado, Héctor J. Pérez-Iglesias, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	—	`conf`	A Machine Learning - Based System for Determining Water Potability. DCAI (4) Míriam Timiraos, Antonio Díaz-Longueira, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	J	`jnl`	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. Álvaro Michelena, José Aveleira-Mata, Esteban Jove, Martín Bayón-Gutiérrez, Paulo Novais, Oscar Fontenla-Romero, José Luís Calvo-Rolle, Héctor Alaiz-Moretón
2024	—	`ed.`	Advances in Artificial Intelligence - 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19-21, 2024, Proceedings CAEPIA Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso
2024	Misc	`conf`	An effective and efficient green federated learning method for one-layer neural networks. SAC Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
2024	—	`conf`	Characterization of Cattle Behavior Based on Dimensional Reduction Techniques. SOCO (1) Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	—	`conf`	Dimensional Reduction Techniques for the Characterization of Behavioral Patterns in Dairy Cows. DCAI (4) Álvaro Michelena, Antonio Díaz-Longueira, Paula Arcano-Bea, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	J	`jnl`	Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? Eng. Appl. Artif. Intell. David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2024	—	`conf`	Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques. HAIS (2) Álvaro Michelena, Francisco Zayas-Gato, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2024	Misc	`conf`	RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. SAC Víctor López, Oscar Fontenla-Romero, Elena Hernández-Pereira, Bertha Guijarro-Berdiñas, Carlos Blanco-Seijo, Samuel Fernández-Paz
2023	C	`conf`	A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders. WETICE David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Diego Orellana-Cañás
2023	—	`conf`	A Novel Method for Failure Detection Based on Real-Time Systems Identification. CISIS-ICEUTE Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2023	J	`jnl`	A One-Class Classification method based on Expanded Non-Convex Hulls. Inf. Fusion David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2023	J	`jnl`	An effective and efficient green federated learning method for one-layer neural networks. CoRR Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
2023	—	`conf`	Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters. DCAI (3) Antonio Díaz-Longueira, Míriam Timiraos, Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, Roberto Casado-Vara, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2023	—	`conf`	Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. DCAI (3) Míriam Timiraos, Antonio Díaz-Longueira, Álvaro Michelena, Francisco Zayas-Gato, Héctor Quintián, Héctor Alaiz-Moretón, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2023	—	`conf`	Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. SOCO (1) 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
2023	J	`jnl`	Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? CoRR David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2023	J	`jnl`	Fast deep autoencoder for federated learning. Pattern Recognit. David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2023	J	`jnl`	FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. Future Gener. Comput. Syst. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Beatriz Pérez-Sánchez
2023	—	`conf`	Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. DCAI (3) Álvaro Michelena, Antonio Díaz-Longueira, Míriam Timiraos, Francisco Javier de Cos Juez, Héctor Alaiz-Moretón, Dragan Simic, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2022	—	`conf`	An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids. CISIS-ICEUTE Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2022	—	`conf`	Comparative study of anomaly detection techniques for monitoring Lithium Iron Phosphate - LiFePO4 batteries. XoveTIC Álvaro Michelena Grandío, Francisco Zayas-Gato, Esteban Jove, Oscar Fontenla-Romero, José Luís Calvo-Rolle
2022	J	`jnl`	Fast Deep Autoencoder for Federated learning. CoRR David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2022	J	`jnl`	Machine learning techniques to predict different levels of hospital care of CoVid-19. Appl. Intell. Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Brais Cancela-Barizo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2021	J	`jnl`	DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification. Int. J. Intell. Syst. Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2021	B	`conf`	Federated Learning approach for SpectralClustering. ESANN Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2021	—	`conf`	Learning by Doing in Higher Education: An Experience to Increase Self-learning and Motivation in First Courses. CISIS-ICEUTE Oscar Fontenla-Romero, Francisco Bellas, Noelia Sánchez-Maroño, José Antonio Becerra
2021	—	`conf`	Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2021	—	`conf`	The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students. AIED (2) Sara Guerreiro-Santalla, Francisco Bellas, Oscar Fontenla-Romero
2020	J	`jnl`	One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments. IEEE Trans. Syst. Man Cybern. Syst. Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2020	B	`conf`	Online learning for anomaly detection via subdivisible convex hulls. IJCNN David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2018	J	`jnl`	A review of adaptive online learning for artificial neural networks. Artif. Intell. Rev. Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2018	J	`jnl`	An incremental non-iterative learning method for one-layer feedforward neural networks. Appl. Soft Comput. Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2018	B	`conf`	LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. ESANN Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal
2018	J	`jnl`	LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2017	B	`conf`	Mutual information for improving the efficiency of the SCH algorithm. ESANN Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown
2016	B	`conf`	A fast learning algorithm for high dimensional problems: an application to microarrays. ESANN Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Diego Rego-Fernández, David Martínez-Rego
2016	B	`conf`	Distributed learning algorithm for feedforward neural networks. ESANN Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández
2016	J	`jnl`	Fault detection via recurrence time statistics and one-class classification. Pattern Recognit. Lett. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, José C. Príncipe
2016	B	`conf`	One-class classification algorithm based on convex hull. ESANN Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2016	—	`conf`	Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. ICANN (2) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2015	J	`jnl`	An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization. Neural Process. Lett. Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig, Adina Dumitru, R. García-Mira
2015	J	`jnl`	Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. Comput. Methods Programs Biomed. Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Michael F. Chiang
2015	—	`conf`	Designing Decision Trees for Representing Sustainable Behaviours in Agents. PAAMS (Special Sessions) Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, J. Gareth Polhill, Tony Craig
2015	J	`jnl`	Distributed One-Class Support Vector Machine. Int. J. Neural Syst. Enrique F. Castillo, Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero
2015	C	`conf`	One-Class Classification for Microarray Datasets with Feature Selection. EANN Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2015	B	`conf`	Selecting target concept in one-class classification for handling class imbalance problem. IJCNN Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2015	J	`jnl`	Stream change detection via passive-aggressive classification and Bernoulli CUSUM. Inf. Sci. David Martínez-Rego, Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2014	J	`jnl`	Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. Informatica José Luís Calvo-Rolle, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas
2014	—	`conf`	Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. ICAART (Revised Selected Papers) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2014	A	`conf`	Influence of internal values and social networks for achieving sustainable organizations. ECAI Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Núñez, J. Gareth Polhill, Tony Craig
2014	B	`conf`	Modeling consumption of contents and advertising in online newspapers. ESANN Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2014	—	`conf`	Self-adaptive Topology Neural Network for Online Incremental Learning. ICAART (1) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2013	—	`conf`	A Decision-Making Model for Environmental Behavior in Agent-Based Modeling. IWANN (1) Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Miguel Rodríguez-García, Gary Polhill, Tony Craig
2013	J	`jnl`	A Minimum Volume Covering Approach with a Set of Ellipsoids. IEEE Trans. Pattern Anal. Mach. Intell. David Martínez-Rego, Enrique F. Castillo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	J	`jnl`	A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks. Expert Syst. Appl. Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2013	J	`jnl`	An online learning algorithm for adaptable topologies of neural networks. Expert Syst. Appl. Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, David Martínez-Rego
2013	J	`jnl`	Automatic bearing fault diagnosis based on one-class ν-SVM. Comput. Ind. Eng. Diego Fernández-Francos, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2013	J	`jnl`	Estimating the parameters of a fatigue model using Benders' decomposition. Ann. Oper. Res. Enrique F. Castillo, Roberto Mínguez, Antonio J. Conejo, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2013	—	`conf`	Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula. CAEPIA David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012	—	`conf`	An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. PAAMS (Special Sessions) Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, Tony Craig, R. García-Mira
2012	J	`jnl`	Information Theoretic Learning and local modeling for binary and multiclass classification. Prog. Artif. Intell. Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2012	J	`jnl`	Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. Pattern Recognit. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2012	B	`conf`	One-class classifier based on extreme value statistics. ESANN David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	B	`conf`	A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. ESANN Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2011	J	`jnl`	A robust incremental learning method for non-stationary environments. Neurocomputing David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	J	`jnl`	A study of performance on microarray data sets for a classifier based on information theoretic learning. Neural Networks Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2011	J	`jnl`	Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2011	B	`conf`	Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2010	—	`conf`	A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System. KES (1) Iago Porto-Díaz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2010	—	`conf`	A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. ICANN (1) Bertha Guijarro-Berdiñas, Santiago Fernández-Lorenzo, Noelia Sánchez-Maroño, Oscar Fontenla-Romero
2010	J	`jnl`	A new convex objective function for the supervised learning of single-layer neural networks. Pattern Recognit. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2010	B	`conf`	An incremental learning method for neural networks in adaptive environments. IJCNN Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2010	—	`conf`	Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. ICANN (1) David Martínez-Rego, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2010	—	`conf`	Local Modeling Classifier for Microarray Gene-Expression Data. ICANN (3) Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2009	—	`conf`	A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. IWANN (1) Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2009	B	`conf`	A new supervised local modelling classifier based on information theory. IJCNN David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos
2009	—	`conf`	An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
2009	—	`conf`	Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. ICANN (1) Iago Porto-Díaz, David Martínez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2009	J	`jnl`	Conversion methods for symbolic features: A comparison applied to an intrusion detection problem. Expert Syst. Appl. Elena Hernández-Pereira, Juan A. Suárez-Romero, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2009	—	`ch.`	Functional Networks. Encyclopedia of Artificial Intelligence Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
2008	B	`conf`	A Method for Time Series Prediction using a Combination of Linear Models. ESANN David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2008	B	`conf`	A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. ESANN Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Amparo Alonso-Betanzos
2007	C	`conf`	A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. IDEAL Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2007	—	`conf`	A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
2007	C	`conf`	A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
2007	B	`conf`	A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. IJCNN Ruben M. Rodriguez-Pena, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero
2006	C	`conf`	A Fast Classification Algorithm Based on Local Models. IDEAL Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2006	J	`jnl`	A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. J. Mach. Learn. Res. Enrique F. Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2005	J	`jnl`	A new method for sleep apnea classification using wavelets and feedforward neural networks. Artif. Intell. Medicine Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo
2005	J	`jnl`	Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Trans. Neural Networks Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2005	—	`conf`	Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. ICANN (2) Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos
2004	J	`jnl`	A measure of fault tolerance for functional networks. Neurocomputing Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2004	B	`conf`	Shear strength prediction using dimensional analysis and functional networks. ESANN Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
2003	B	`conf`	A Bayesian Neural Network Approach for Sleep Apnea Classification. AIME Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo
2003	—	`conf`	A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. IWANN (1) Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2003	B	`conf`	Accelerating the convergence speed of neural networks learning methods using least squares. ESANN Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003	B	`conf`	Accurate initialization of neural network weights by backpropagation of the desired response. IJCNN Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen
2003	J	`jnl`	An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst. Appl. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas
2003	C	`conf`	Linear Least-Squares Based Methods for Neural Networks Learning. ICANN Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
2003	B	`conf`	Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
2003	B	`conf`	Self-organizing maps and functional networks for local dynamic modeling. ESANN Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2002	J	`jnl`	A Global Optimum Approach for One-Layer Neural Networks. Neural Comput. Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2002	A	`conf`	A Neural Network Approach for Forestal Fire Risk Estimation. ECAI 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
2002	—	`conf`	An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. EUSIPCO Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Oscar Fontenla-Romero, Luis Vielva
2002	J	`jnl`	Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. Artif. Intell. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
2002	C	`conf`	Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. ICANN Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas
2002	—	`conf`	Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. Advances in Computational Intelligence and Learning Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001	—	`conf`	A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. IWANN (1) Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001	—	`conf`	A Measure of Noise Immunity for Functional Networks. IWANN (1) Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
2001	J	`jnl`	Adaptive pattern recognition in the analysis of cardiotocographic records. IEEE Trans. Neural Networks Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
2001	—	`conf`	An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. IWANN (2) Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño
1998	—	`conf`	Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. NC Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe