Oscar Fontenla-Romero
Orcid: 0000-0003-4203-8720Affiliations:
- University of A Coruña, Spain
According to our database1,
Oscar Fontenla-Romero
authored at least 108 papers
between 1998 and 2025.
Collaborative distances:
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Bibliography
2025
Comparative analysis of unsupervised anomaly detection techniques for heat detection in dairy cattle.
Neurocomputing, 2025
2024
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., February, 2024
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
Eng. Appl. Artif. Intell., 2024
Proceedings of the 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024, 2024
RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
An effective and efficient green federated learning method for one-layer neural networks.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024
Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques.
Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024
2023
FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks.
Future Gener. Comput. Syst., December, 2023
Inf. Fusion, 2023
A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders.
Proceedings of the IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2023
Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction.
Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023
Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol.
Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023
Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters.
Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023
2022
Machine learning techniques to predict different levels of hospital care of CoVid-19.
Appl. Intell., 2022
Comparative study of anomaly detection techniques for monitoring Lithium Iron Phosphate - LiFePO4 batteries.
Proceedings of V XoveTIC Conference, 2022
An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids.
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
2021
DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification.
Int. J. Intell. Syst., 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Learning by Doing in Higher Education: An Experience to Increase Self-learning and Motivation in First Courses.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
The School Path Guide: A Practical Introduction to Representation and Reasoning in AI for High School Students.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2018
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018
An incremental non-iterative learning method for one-layer feedforward neural networks.
Appl. Soft Comput., 2018
Artif. Intell. Rev., 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
Pattern Recognit. Lett., 2016
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
A fast learning algorithm for high dimensional problems: an application to microarrays.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
An Agent-Based Model for Simulating Environmental Behavior in an Educational Organization.
Neural Process. Lett., 2015
Inf. Sci., 2015
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach.
Comput. Methods Programs Biomed., 2015
Proceedings of the Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability, 2015
Selecting target concept in one-class classification for handling class imbalance problem.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Engineering Applications of Neural Networks, 2015
2014
Informatica, 2014
Proceedings of the Agents and Artificial Intelligence - 6th International Conference, 2014
Proceedings of the ICAART 2014, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Influence of internal values and social networks for achieving sustainable organizations.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks.
Expert Syst. Appl., 2013
Expert Syst. Appl., 2013
Ann. Oper. Res., 2013
Proceedings of the Advances in Computational Intelligence, 2013
Exact Incremental Learning for a Single Non-linear Neuron Based on Taylor Expansion and Greville Formula.
Proceedings of the Advances in Artificial Intelligence, 2013
2012
Nonlinear single layer neural network training algorithm for incremental, nonstationary and distributed learning scenarios.
Pattern Recognit., 2012
Information Theoretic Learning and local modeling for binary and multiclass classification.
Prog. Artif. Intell., 2012
An Agent-Based Prototype for Enhancing Sustainability Behavior at an Academic Environment.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
A study of performance on microarray data sets for a classifier based on information theoretic learning.
Neural Networks, 2011
Neurocomputing, 2011
Expert Syst. Appl., 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
A new convex objective function for the supervised learning of single-layer neural networks.
Pattern Recognit., 2010
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Conversion methods for symbolic features: A comparison applied to an intrusion detection problem.
Expert Syst. Appl., 2009
A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Artificial Neural Networks, 2009
Proceedings of the Current Topics in Artificial Intelligence, 2009
2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
2007
A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Artificial Neural Networks, 2007
2006
J. Mach. Learn. Res., 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
2005
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response.
IEEE Trans. Neural Networks, 2005
A new method for sleep apnea classification using wavelets and feedforward neural networks.
Artif. Intell. Medicine, 2005
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005
2004
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004
2003
An intelligent system for forest fire risk prediction and fire fighting management in Galicia.
Expert Syst. Appl., 2003
A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Accurate initialization of neural network weights by backpropagation of the desired response.
Proceedings of the International Joint Conference on Neural Networks, 2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Accelerating the convergence speed of neural networks learning methods using least squares.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
Proceedings of the Artificial Intelligence in Medicine, 2003
2002
Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system.
Artif. Intell., 2002
Proceedings of the Artificial Neural Networks, 2002
An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G.
Proceedings of the 11th European Signal Processing Conference, 2002
A Neural Network Approach for Forestal Fire Risk Estimation.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002
Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002
2001
IEEE Trans. Neural Networks, 2001
Proceedings of the Connectionist Models of Neurons, 2001
An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns.
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Proceedings of the Connectionist Models of Neurons, 2001
1998
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998