Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. - Amparo Alonso-Betanzos; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Olga Fernández-Chaves; José Carlos Príncipe (NC, 1998)

A Measure of Noise Immunity for Functional Networks. - Enrique F. Castillo; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (IWANN (1), 2001)

An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. - Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Oscar Fontenla-Romero; Olga Garcia-Dans; Noelia Sánchez-Maroño (IWANN (2), 2001)

A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (IWANN (1), 2001)

Adaptive pattern recognition in the analysis of cardiotocographic records. - Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Bertha Guijarro-Berdiñas (IEEE Trans. Neural Networks, 2001)

Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (Advances in Computational Intelligence and Learning, 2002)

A Neural Network Approach for Forestal Fire Risk Estimation. - 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 (ECAI, 2002)

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. - Deniz Erdogmus; Yadunandana N. Rao; José C. Príncipe; Oscar Fontenla-Romero; Luis Vielva (EUSIPCO, 2002)

Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. - Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Enrique F. Castillo; José Carlos Príncipe; Bertha Guijarro-Berdiñas (ICANN, 2002)

Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. - Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Oscar Fontenla-Romero (Artif. Intell., 2002)

A Global Optimum Approach for One-Layer Neural Networks. - Enrique F. Castillo; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (Neural Comput., 2002)

A Bayesian Neural Network Approach for Sleep Apnea Classification. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Ana del Rocío Fraga-Iglesias; Vicente Moret-Bonillo (AIME, 2003)

Recursive Least Squares for an Entropy Regularized MSE Cost Function. - Deniz Erdogmus; Yadunandana N. Rao; José Carlos Príncipe; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2003)

Accelerating the convergence speed of neural networks learning methods using least squares. - Oscar Fontenla-Romero; Deniz Erdogmus; José Carlos Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo (ESANN, 2003)

Self-organizing maps and functional networks for local dynamic modeling. - Noelia Sánchez-Maroño; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Bertha Guijarro-Berdiñas (ESANN, 2003)

Linear Least-Squares Based Methods for Neural Networks Learning. - Oscar Fontenla-Romero; Deniz Erdogmus; José Carlos Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo (ICANN, 2003)

Accurate initialization of neural network weights by backpropagation of the desired response. - Deniz Erdogmus; Oscar Fontenla-Romero; José C. Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo; Robert Jenssen (IJCNN, 2003)

A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. - Juan A. Suárez-Romero; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (IWANN (1), 2003)

An intelligent system for forest fire risk prediction and fire fighting management in Galicia. - Amparo Alonso-Betanzos; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Maria Inmaculada Paz-Andrade; Eulogio Jimenez; Jose Luis Legido; Tarsy Carballas (Expert Syst. Appl., 2003)

Shear strength prediction using dimensional analysis and functional networks. - Amparo Alonso-Betanzos; Enrique F. Castillo; Oscar Fontenla-Romero; Noelia Sánchez-Maroño (ESANN, 2004)

A measure of fault tolerance for functional networks. - Oscar Fontenla-Romero; Enrique F. Castillo; Amparo Alonso-Betanzos; Bertha Guijarro-Berdiñas (Neurocomputing, 2004)

Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. - Noelia Sánchez-Maroño; Oscar Fontenla-Romero; Enrique F. Castillo; Amparo Alonso-Betanzos (ICANN (2), 2005)

A new method for sleep apnea classification using wavelets and feedforward neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos; Vicente Moret-Bonillo (Artif. Intell. Medicine, 2005)

Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. - Deniz Erdogmus; Oscar Fontenla-Romero; José C. Príncipe; Amparo Alonso-Betanzos; Enrique F. Castillo (IEEE Trans. Neural Networks, 2005)

A Fast Classification Algorithm Based on Local Models. - Sabela Platero-Santos; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (IDEAL, 2006)

A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. - Enrique F. Castillo; Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (J. Mach. Learn. Res., 2006)

A Fast Semi-linear Backpropagation Learning Algorithm. - Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Paula Fraguela (ICANN (1), 2007)

A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. - Yuridia Gago-Pallares; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (IDEAL, 2007)

A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. - Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Paula Fraguela (IDEAL, 2007)

A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. - Ruben M. Rodriguez-Pena; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (IJCNN, 2007)

A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. - Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Amparo Alonso-Betanzos (ESANN, 2008)

A Method for Time Series Prediction using a Combination of Linear Models. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2008)

An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (CAEPIA, 2009)

Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. - Iago Porto-Díaz; David Martínez-Rego; Amparo Alonso-Betanzos; Oscar Fontenla-Romero (ICANN (1), 2009)

A new supervised local modelling classifier based on information theory. - David Martínez-Rego; Oscar Fontenla-Romero; Iago Porto-Díaz; Amparo Alonso-Betanzos (IJCNN, 2009)

A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (IWANN (1), 2009)

Conversion methods for symbolic features: A comparison applied to an intrusion detection problem. - Elena Hernández-Pereira; Juan A. Suárez-Romero; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Expert Syst. Appl., 2009)

Functional Networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (Encyclopedia of Artificial Intelligence, 2009)

A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. - Bertha Guijarro-Berdiñas; Santiago Fernández-Lorenzo; Noelia Sánchez-Maroño; Oscar Fontenla-Romero (ICANN (1), 2010)

Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. - David Martínez-Rego; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Amparo Alonso-Betanzos (ICANN (1), 2010)

Local Modeling Classifier for Microarray Gene-Expression Data. - Iago Porto-Díaz; Verónica Bolón-Canedo; Amparo Alonso-Betanzos; Oscar Fontenla-Romero (ICANN (3), 2010)

An incremental learning method for neural networks in adaptive environments. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (IJCNN, 2010)

A Log Analyzer Agent for Intrusion Detection in a Multi-Agent System. - Iago Porto-Díaz; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (KES (1), 2010)

A new convex objective function for the supervised learning of single-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Amparo Alonso-Betanzos (Pattern Recognit., 2010)

A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms. - Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (ESANN, 2011)

Power wind mill fault detection via one-class ν-SVM vibration signal analysis. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (IJCNN, 2011)

Efficiency of local models ensembles for time series prediction. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Expert Syst. Appl., 2011)

A robust incremental learning method for non-stationary environments. - David Martínez-Rego; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Neurocomputing, 2011)

A study of performance on microarray data sets for a classifier based on information theoretic learning. - Iago Porto-Díaz; Verónica Bolón-Canedo; Amparo Alonso-Betanzos; Oscar Fontenla-Romero (Neural Networks, 2011)

One-class classifier based on extreme value statistics. - David Martínez-Rego; Evan Kriminger; José C. Príncipe; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2012)

An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment. - Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; Oscar Fontenla-Romero; Verónica Bolón-Canedo; Nicholas Mark Gotts; J. Gareth Polhill; Tony Craig; R. García-Mira (PAAMS (Special Sessions), 2012)

Information Theoretic Learning and local modeling for binary and multiclass classification. - Iago Porto-Díaz; David Martínez-Rego; Amparo Alonso-Betanzos; Oscar Fontenla-Romero (Prog. Artif. Intell., 2012)

Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Pattern Recognit., 2012)

Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (CAEPIA, 2013)

A Decision-Making Model for Environmental Behavior in Agent-Based Modeling. - Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; Oscar Fontenla-Romero; Miguel Rodríguez-García; Gary Polhill; Tony Craig (IWANN (1), 2013)

Estimating the parameters of a fatigue model using Benders' decomposition. - Enrique F. Castillo; Roberto Mínguez; Antonio J. Conejo; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (Ann. Oper. Res., 2013)

Automatic bearing fault diagnosis based on one-class ν-SVM. - Diego Fernández-Francos; David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Comput. Ind. Eng., 2013)

An online learning algorithm for adaptable topologies of neural networks. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; David Martínez-Rego (Expert Syst. Appl., 2013)

A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks. - Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Oscar Fontenla-Romero (Expert Syst. Appl., 2013)

A Minimum Volume Covering Approach with a Set of Ellipsoids. - David Martínez-Rego; Enrique F. Castillo; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Influence of internal values and social networks for achieving sustainable organizations. - Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; Oscar Fontenla-Romero; C. Brinquis-Núñez; J. Gareth Polhill; Tony Craig (ECAI, 2014)

Modeling consumption of contents and advertising in online newspapers. - Iago Porto-Díaz; David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2014)

Self-adaptive Topology Neural Network for Online Incremental Learning. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (ICAART (1), 2014)

Adaptive Neural Topology Based on Vapnik-Chervonenkis Dimension. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (ICAART (Revised Selected Papers), 2014)

Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. - José Luís Calvo-Rolle; Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (Informatica, 2014)

One-Class Classification for Microarray Datasets with Feature Selection. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Noelia Sánchez-Maroño (EANN, 2015)

Selecting target concept in one-class classification for handling class imbalance problem. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Noelia Sánchez-Maroño (IJCNN, 2015)

Designing Decision Trees for Representing Sustainable Behaviours in Agents. - Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; Oscar Fontenla-Romero; J. Gareth Polhill; Tony Craig (PAAMS (Special Sessions), 2015)

Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. - Verónica Bolón-Canedo; Esra Ataer Cansizoglu; Deniz Erdogmus; Jayashree Kalpathy-Cramer; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Michael F. Chiang (Comput. Methods Programs Biomed., 2015)

Distributed One-Class Support Vector Machine. - Enrique F. Castillo; Diego Peteiro-Barral; Bertha Guijarro-Berdiñas; Oscar Fontenla-Romero (Int. J. Neural Syst., 2015)

Stream change detection via passive-aggressive classification and Bernoulli CUSUM. - David Martínez-Rego; Diego Fernández-Francos; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (Inf. Sci., 2015)

An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization. - Noelia Sánchez-Maroño; Amparo Alonso-Betanzos; Oscar Fontenla-Romero; C. Brinquis-Núñez; J. Gareth Polhill; Tony Craig; Adina Dumitru; R. García-Mira (Neural Process. Lett., 2015)

One-class classification algorithm based on convex hull. - Diego Fernández-Francos; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (ESANN, 2016)

A fast learning algorithm for high dimensional problems: an application to microarrays. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Diego Rego-Fernández; David Martínez-Rego (ESANN, 2016)

Distributed learning algorithm for feedforward neural networks. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas; Diego Rego-Fernández (ESANN, 2016)

Two-Class with Oversampling Versus One-Class Classification for Microarray Datasets. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Noelia Sánchez-Maroño (ICANN (2), 2016)

Fault detection via recurrence time statistics and one-class classification. - David Martínez-Rego; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; José C. Príncipe (Pattern Recognit. Lett., 2016)

Mutual information for improving the efficiency of the SCH algorithm. - Diego Fernández-Francos; Oscar Fontenla-Romero; Amparo Alonso-Betanzos; Gavin Brown 001 (ESANN, 2017)

LANN-DSVD: A privacy-preserving distributed algorithm for machine learning. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez; Marcelo Gómez-Casal (ESANN, 2018)

A review of adaptive online learning for artificial neural networks. - Beatriz Pérez-Sánchez; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Artif. Intell. Rev., 2018)

An incremental non-iterative learning method for one-layer feedforward neural networks. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (Appl. Soft Comput., 2018)

LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (IEEE Trans. Neural Networks Learn. Syst., 2018)

Online learning for anomaly detection via subdivisible convex hulls. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (IJCNN, 2020)

One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments. - Diego Fernández-Francos; Oscar Fontenla-Romero; Amparo Alonso-Betanzos (IEEE Trans. Syst. Man Cybern. Syst., 2020)

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 (AIED (2), 2021)

Learning by Doing in Higher Education: An Experience to Increase Self-learning and Motivation in First Courses. - Oscar Fontenla-Romero; Francisco Bellas; Noelia Sánchez-Maroño; José Antonio Becerra (CISIS-ICEUTE, 2021)

Federated Learning approach for SpectralClustering. - Elena Hernández-Pereira; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (ESANN, 2021)

Regularized One-Layer Neural Networks for Distributed and Incremental Environments. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Beatriz Pérez-Sánchez (IWANN (2), 2021)

DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification. - Oscar Fontenla-Romero; Beatriz Pérez-Sánchez; Bertha Guijarro-Berdiñas (Int. J. Intell. Syst., 2021)

An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids. - Álvaro Michelena; Francisco Zayas-Gato; Esteban Jove; José Luís Casteleiro-Roca; Héctor Quintián; Oscar Fontenla-Romero; José Luís Calvo-Rolle (CISIS-ICEUTE, 2022)

Comparative study of anomaly detection techniques for monitoring Lithium Iron Phosphate - LiFePO4 batteries. - Álvaro Michelena Grandío; Francisco Zayas-Gato; Esteban Jove; Oscar Fontenla-Romero; José Luís Calvo-Rolle (XoveTIC, 2022)

Machine learning techniques to predict different levels of hospital care of CoVid-19. - Elena Hernández-Pereira; Oscar Fontenla-Romero; Verónica Bolón-Canedo; Brais Cancela-Barizo; Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos (Appl. Intell., 2022)

A Novel Method for Failure Detection Based on Real-Time Systems Identification. - Álvaro Michelena; Antonio Díaz-Longueira; Míriam Timiraos; Héctor Quintián; Oscar Fontenla-Romero; José Luís Calvo-Rolle (CISIS-ICEUTE, 2023)

Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters. - Antonio Díaz-Longueira; Míriam Timiraos; Álvaro Michelena; Francisco Zayas-Gato; Esteban Jove; Roberto Casado-Vara; Oscar Fontenla-Romero; José Luís Calvo-Rolle (DCAI (3), 2023)

Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol. - Álvaro Michelena; Antonio Díaz-Longueira; Míriam Timiraos; Francisco Javier de Cos Juez; Héctor Alaiz-Moretón; Dragan Simic; Oscar Fontenla-Romero; José Luís Calvo-Rolle (DCAI (3), 2023)

Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. - Míriam Timiraos; Antonio Díaz-Longueira; Álvaro Michelena; Francisco Zayas-Gato; Héctor Quintián; Héctor Alaiz-Moretón; Oscar Fontenla-Romero; José Luís Calvo-Rolle (DCAI (3), 2023)

Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction. - 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 (SOCO (1), 2023)

A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Diego Orellana-Cañás (WETICE, 2023)

A One-Class Classification method based on Expanded Non-Convex Hulls. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Inf. Fusion, 2023)

Fast deep autoencoder for federated learning. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Pattern Recognit., 2023)

FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Beatriz Pérez-Sánchez (Future Gener. Comput. Syst., 2023)

Dimensional Reduction Techniques for the Characterization of Behavioral Patterns in Dairy Cows. - Álvaro Michelena; Antonio Díaz-Longueira; Paula Arcano-Bea; Héctor Quintián; Oscar Fontenla-Romero; José Luís Calvo-Rolle (DCAI (4), 2024)

A Machine Learning - Based System for Determining Water Potability. - Míriam Timiraos; Antonio Díaz-Longueira; Francisco Zayas-Gato; José Luís Casteleiro-Roca; Oscar Fontenla-Romero; José Luís Calvo-Rolle (DCAI (4), 2024)

Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques. - Álvaro Michelena; Francisco Zayas-Gato; José Luís Casteleiro-Roca; Héctor Quintián; Oscar Fontenla-Romero; José Luís Calvo-Rolle (HAIS (2), 2024)

An effective and efficient green federated learning method for one-layer neural networks. - Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Elena Hernández-Pereira; Beatriz Pérez-Sánchez (SAC, 2024)

RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method. - Víctor López 002; Oscar Fontenla-Romero; Elena Hernández-Pereira; Bertha Guijarro-Berdiñas; Carlos Blanco-Seijo; Samuel Fernández-Paz (SAC, 2024)

Characterization of Cattle Behavior Based on Dimensional Reduction Techniques. - Álvaro Michelena; Antonio Díaz-Longueira; Míriam Timiraos; Héctor Quintián; Oscar Fontenla-Romero; José Luís Calvo-Rolle (SOCO (1), 2024)

Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Eng. Appl. Artif. Intell., 2024)

A novel intelligent approach for man-in-the-middle attacks detection over internet of things environments based on message queuing telemetry transport. - Álvaro Michelena; José Aveleira-Mata; Esteban Jove; Martín Bayón-Gutiérrez; Paulo Novais; Oscar Fontenla-Romero; José Luís Calvo-Rolle; Héctor Alaiz-Moretón (Expert Syst. J. Knowl. Eng., 2024)

Predicting the State of Health of Supercapacitors Using a Federated Learning Model with Homomorphic Encryption. - Víctor López 002; Oscar Fontenla-Romero; Elena Hernández-Pereira; Bertha Guijarro-Berdiñas; Carlos Blanco-Seijo; Samuel Fernández-Paz (ICAART (3), 2025)

Comparative analysis of unsupervised anomaly detection techniques for heat detection in dairy cattle. - Álvaro Michelena; Antonio Díaz-Longueira; Paulo Novais; Dragan Simic; Oscar Fontenla-Romero; José Luís Calvo-Rolle (Neurocomputing, 2025)

ProgTutor: A Robotic-Based Framework to Support Teaching and Learning of Programming Fundamentals. - 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 (IEEE Trans. Learn. Technol., 2025)