Oscar Fontenla-Romero
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
66
Venues
16
Active years
2001–2026
Best venue rank
B
Where they publish
Papers
66 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ESANN | FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments. | Alejandro Dopico-Castro, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias, Ivn Prez Dign |
| 2025 | HAIS | A Hybrid Modelling Approach for Forecasting the Acquired Electrical Power from Photovoltaic Panels. | Anabel Daz-Labrador, ngel Delgado, Hctor J. Prez-Iglesias, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2025 | ICAART | Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption. | Vctor Lpez, Oscar Fontenla-Romero, Elena Hernndez-Pereira, Bertha Guijarro-Berdias, Carlos Blanco-Seijo, Samuel Fernndez-Paz |
| 2025 | IJCNN | Efficient and Secure Federated Learning with Ensemble of One-Layer Neural Networks. | Abel Pampn-Rodrguez, Oscar Fontenla-Romero, Elena Hernndez-Pereira, Bertha Guijarro-Berdias |
| 2025 | IWANN | Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications. | Anabel Daz-Labrador, ngel Delgado, Hctor J. Prez-Iglesias, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2025 | IWANN | A New Approach to Detecting Occupational Diseases Using Time Series. | Antonio Daz-Longueira, Noel Freire-Maha, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2024 | DCAI | Dimensional Reduction Techniques for the Characterization of Behavioral Patterns in Dairy Cows. | lvaro Michelena, Antonio Daz-Longueira, Paula Arcano-Bea, Hctor Quintin, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2024 | DCAI | A Machine Learning - Based System for Determining Water Potability. | Mriam Timiraos, Antonio Daz-Longueira, Francisco Zayas-Gato, Jos Lus Casteleiro-Roca, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2024 | HAIS | Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques. | lvaro Michelena, Francisco Zayas-Gato, Jos Lus Casteleiro-Roca, Hctor Quintin, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2024 | SAC | An effective and efficient green federated learning method for one-layer neural networks. | Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Elena Hernndez-Pereira, Beatriz Prez-Snchez |
| 2024 | SAC | RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. | Vctor Lpez, Oscar Fontenla-Romero, Elena Hernndez-Pereira, Bertha Guijarro-Berdias, Carlos Blanco-Seijo, Samuel Fernndez-Paz |
| 2023 | DCAI | Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters. | Antonio Daz-Longueira, Mriam Timiraos, lvaro Michelena, Francisco Zayas-Gato, Esteban Jove, Roberto Casado-Vara, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2023 | DCAI | Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. | lvaro Michelena, Antonio Daz-Longueira, Mriam Timiraos, Francisco Javier de Cos Juez, Hctor Alaiz-Moretn, Dragan Simic, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2023 | DCAI | Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. | Mriam Timiraos, Antonio Daz-Longueira, lvaro Michelena, Francisco Zayas-Gato, Hctor Quintin, Hctor Alaiz-Moretn, Oscar Fontenla-Romero, Jos Lus Calvo-Rolle |
| 2023 | WETICE | A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders. | David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Diego Orellana-Cas |
| 2021 | AIED | The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students. | Sara Guerreiro-Santalla, Francisco Bellas, Oscar Fontenla-Romero |
| 2021 | ESANN | Federated Learning approach for SpectralClustering. | Elena Hernndez-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Beatriz Prez-Snchez |
| 2021 | IWANN | Regularized One-Layer Neural Networks for Distributed and Incremental Environments. | Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Beatriz Prez-Snchez |
| 2020 | IJCNN | Online learning for anomaly detection via subdivisible convex hulls. | David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdias |
| 2018 | ESANN | LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. | Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Beatriz Prez-Snchez, Marcelo Gmez-Casal |
| 2017 | ESANN | Mutual information for improving the efficiency of the SCH algorithm. | Diego Fernndez-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown |
| 2016 | ESANN | One-class classification algorithm based on convex hull. | Diego Fernndez-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2016 | ESANN | A fast learning algorithm for high dimensional problems: an application to microarrays. | Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Beatriz Prez-Snchez, Diego Rego-Fernndez, David Martnez-Rego |
| 2016 | ESANN | Distributed learning algorithm for feedforward neural networks. | Oscar Fontenla-Romero, Beatriz Prez-Snchez, Bertha Guijarro-Berdias, Diego Rego-Fernndez |
| 2016 | ICANN | Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. | Beatriz Prez-Snchez, Oscar Fontenla-Romero, Noelia Snchez-Maroo |
| 2015 | EANN | One-Class Classification for Microarray Datasets with Feature Selection. | Beatriz Prez-Snchez, Oscar Fontenla-Romero, Noelia Snchez-Maroo |
| 2015 | IJCNN | Selecting target concept in one-class classification for handling class imbalance problem. | Beatriz Prez-Snchez, Oscar Fontenla-Romero, Noelia Snchez-Maroo |
| 2015 | PAAMS | Designing Decision Trees for Representing Sustainable Behaviours in Agents. | Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, J. Gareth Polhill, Tony Craig |
| 2014 | ECAI | Influence of internal values and social networks for achieving sustainable organizations. | Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, C. Brinquis-Nez, J. Gareth Polhill, Tony Craig |
| 2014 | ESANN | Modeling consumption of contents and advertising in online newspapers. | Iago Porto-Daz, David Martnez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2014 | ICAART | Self-adaptive Topology Neural Network for Online Incremental Learning. | Beatriz Prez-Snchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdias |
| 2014 | ICAART | Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. | Beatriz Prez-Snchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdias |
| 2013 | IWANN | A Decision-Making Model for Environmental Behavior in Agent-Based Modeling. | Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Miguel Rodrguez-Garca, Gary Polhill, Tony Craig |
| 2012 | ESANN | One-class classifier based on extreme value statistics. | David Martnez-Rego, Evan Kriminger, Jos C. Prncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2012 | PAAMS | An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. | Noelia Snchez-Maroo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Vernica Boln-Canedo, Nicholas Mark Gotts, J. Gareth Polhill, Tony Craig, R. Garca-Mira |
| 2011 | ESANN | A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. | Diego Peteiro-Barral, Bertha Guijarro-Berdias, Beatriz Prez-Snchez, Oscar Fontenla-Romero |
| 2011 | IJCNN | Power wind mill fault detection via one-class ν-SVM vibration signal analysis. | David Martnez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2010 | ICANN | A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. | Bertha Guijarro-Berdias, Santiago Fernndez-Lorenzo, Noelia Snchez-Maroo, Oscar Fontenla-Romero |
| 2010 | ICANN | Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. | David Martnez-Rego, Oscar Fontenla-Romero, Beatriz Prez-Snchez, Amparo Alonso-Betanzos |
| 2010 | ICANN | Local Modeling Classifier for Microarray Gene-Expression Data. | Iago Porto-Daz, Vernica Boln-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero |
| 2010 | IJCNN | An incremental learning method for neural networks in adaptive environments. | Beatriz Prez-Snchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdias |
| 2010 | KES | A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System. | Iago Porto-Daz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2009 | ICANN | Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. | Iago Porto-Daz, David Martnez-Rego, Amparo Alonso-Betanzos, Oscar Fontenla-Romero |
| 2009 | IJCNN | A new supervised local modelling classifier based on information theory. | David Martnez-Rego, Oscar Fontenla-Romero, Iago Porto-Daz, Amparo Alonso-Betanzos |
| 2009 | IWANN | A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. | Beatriz Prez-Snchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdias |
| 2008 | ESANN | A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. | Bertha Guijarro-Berdias, Oscar Fontenla-Romero, Beatriz Prez-Snchez, Amparo Alonso-Betanzos |
| 2008 | ESANN | A Method for Time Series Prediction using a Combination of Linear Models. | David Martnez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2007 | ICANN | A Fast Semi-linear Backpropagation Learning Algorithm. | Bertha Guijarro-Berdias, Oscar Fontenla-Romero, Beatriz Prez-Snchez, Paula Fraguela |
| 2007 | IJCNN | A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. | Ruben M. Rodriguez-Pena, Beatriz Prez-Snchez, Oscar Fontenla-Romero |
| 2007 | IDEAL | A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. | Yuridia Gago-Pallares, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2007 | IDEAL | A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. | Bertha Guijarro-Berdias, Oscar Fontenla-Romero, Beatriz Prez-Snchez, Paula Fraguela |
| 2006 | IDEAL | A Fast Classification Algorithm Based on Local Models. | Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2005 | ICANN | Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. | Noelia Snchez-Maroo, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos |
| 2004 | ESANN | Shear strength prediction using dimensional analysis and functional networks. | Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Snchez-Maroo |
| 2003 | AIME | A Bayesian Neural Network Approach for Sleep Apnea Classification. | Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Ana del Roco Fraga-Iglesias, Vicente Moret-Bonillo |
| 2003 | ESANN | Recursive Least Squares for an Entropy Regularized MSE Cost Function. | Deniz Erdogmus, Yadunandana N. Rao, Jos Carlos Prncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos |
| 2003 | ESANN | Accelerating the convergence speed of neural networks learning methods using least squares. | Oscar Fontenla-Romero, Deniz Erdogmus, Jos Carlos Prncipe, Amparo Alonso-Betanzos, Enrique F. Castillo |
| 2003 | ESANN | Self-organizing maps and functional networks for local dynamic modeling. | Noelia Snchez-Maroo, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdias |
| 2003 | ICANN | Linear Least-Squares Based Methods for Neural Networks Learning. | Oscar Fontenla-Romero, Deniz Erdogmus, Jos Carlos Prncipe, Amparo Alonso-Betanzos, Enrique F. Castillo |
| 2003 | IJCNN | Accurate initialization of neural network weights by backpropagation of the desired response. | Deniz Erdogmus, Oscar Fontenla-Romero, Jos C. Prncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen |
| 2003 | IWANN | A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. | Juan A. Surez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos |
| 2002 | ECAI | A Neural Network Approach for Forestal Fire Risk Estimation. | Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Elena Hernndez-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade |
| 2002 | ICANN | Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. | Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, Jos Carlos Prncipe, Bertha Guijarro-Berdias |
| 2001 | IWANN | A Measure of Noise Immunity for Functional Networks. | Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos |
| 2001 | IWANN | An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. | Bertha Guijarro-Berdias, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Snchez-Maroo |
| 2001 | IWANN | A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. | Oscar Fontenla-Romero, Bertha Guijarro-Berdias, Amparo Alonso-Betanzos |