Oscar Fontenla-Romero

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 36

Top Venues

Publications

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)
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)
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)
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 (2024)
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)
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)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
A One-Class Classification method based on Expanded Non-Convex Hulls. Inf. Fusion 89 (2023)
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)
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)
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)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Fast deep autoencoder for federated learning. Pattern Recognit. 143 (2023)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? CoRR (2023)
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)
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 (2023)
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 (2023)
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)
Álvaro Michelena, Francisco Zayas-Gato, Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Oscar Fontenla-Romero, José Luis Calvo-Rolle
An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids. CISIS-ICEUTE (2022)
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) (2022)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Fast Deep Autoencoder for Federated learning. CoRR (2022)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Regularized One-Layer Neural Networks for Distributed and Incremental Environments. IWANN (2) (2021)
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)
Elena Hernández-Pereira, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
Federated Learning approach for SpectralClustering. ESANN (2021)
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) (2021)
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)
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) (2020)
David Novoa-Paradela, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Online learning for anomaly detection via subdivisible convex hulls. IJCNN (2020)
Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez, Marcelo Gómez-Casal
LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. ESANN (2018)
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) (2018)
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 (2018)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
A review of adaptive online learning for artificial neural networks. Artif. Intell. Rev. 49 (2) (2018)
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Gavin Brown
Mutual information for improving the efficiency of the SCH algorithm. ESANN (2017)
Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Bertha Guijarro-Berdiñas, Diego Rego-Fernández
Distributed learning algorithm for feedforward neural networks. ESANN (2016)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. ICANN (2) (2016)
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)
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 (2016)
Diego Fernández-Francos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
One-class classification algorithm based on convex hull. ESANN (2016)
Enrique F. Castillo, Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero
Distributed One-Class Support Vector Machine. Int. J. Neural Syst. 25 (7) (2015)
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) (2015)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
One-Class Classification for Microarray Datasets with Feature Selection. EANN (2015)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
Selecting target concept in one-class classification for handling class imbalance problem. IJCNN (2015)
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) (2015)
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)
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 (2015)
Iago Porto-Díaz, David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Modeling consumption of contents and advertising in online newspapers. ESANN (2014)
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) (2014)
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)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. ICAART (Revised Selected Papers) (2014)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
Self-adaptive Topology Neural Network for Online Incremental Learning. ICAART (1) (2014)
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)
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) (2013)
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)
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) (2013)
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) (2013)
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) (2013)
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) (2013)
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) (2012)
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)
David Martínez-Rego, Evan Kriminger, José C. Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
One-class classifier based on extreme value statistics. ESANN (2012)
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) (2012)
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)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Efficiency of local models ensembles for time series prediction. Expert Syst. Appl. 38 (6) (2011)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Power wind mill fault detection via one-class ν-SVM vibration signal analysis. IJCNN (2011)
David Martínez-Rego, Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A robust incremental learning method for non-stationary environments. Neurocomputing 74 (11) (2011)
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) (2011)
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) (2010)
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)
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)
Iago Porto-Díaz, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
Local Modeling Classifier for Microarray Gene-Expression Data. ICANN (3) (2010)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
An incremental learning method for neural networks in adaptive environments. IJCNN (2010)
Iago Porto-Díaz, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System. KES (1) (2010)
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)
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) (2009)
David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos
A new supervised local modelling classifier based on information theory. IJCNN (2009)
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)
Beatriz Pérez-Sánchez, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas
An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. CAEPIA (2009)
David Martínez-Rego, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A Method for Time Series Prediction using a Combination of Linear Models. ESANN (2008)
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)
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)
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)
Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
A Fast Semi-linear Backpropagation Learning Algorithm. ICANN (1) (2007)
Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. IDEAL (2007)
Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
A Fast Classification Algorithm Based on Local Models. IDEAL (2006)
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 (2006)
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) (2005)
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) (2005)
Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. ICANN (2) (2005)
Amparo Alonso-Betanzos, Enrique F. Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
Shear strength prediction using dimensional analysis and functional networks. ESANN (2004)
Oscar Fontenla-Romero, Enrique F. Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
A measure of fault tolerance for functional networks. Neurocomputing 62 (2004)
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)
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)
Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
Self-organizing maps and functional networks for local dynamic modeling. ESANN (2003)
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)
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)
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) (2003)
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)
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) (2002)
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)
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)
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)
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) (2002)

Oscar Fontenla-Romero.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Oscar Fontenla-Romero