Berta María
Guijarro Berdiñas
Profesora Titular de Universidad
Óscar
Fontenla Romero
Catedrático de Universidad
Publicaciones en las que colabora con Óscar Fontenla Romero (54)
2024
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An effective and efficient green federated learning method for one-layer neural networks
Proceedings of the ACM Symposium on Applied Computing
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Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?
Engineering Applications of Artificial Intelligence, Vol. 133
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method
Proceedings of the ACM Symposium on Applied Computing
2023
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A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders
Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE
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A One-Class Classification method based on Expanded Non-Convex Hulls
Information Fusion, Vol. 89, pp. 1-15
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Fast deep autoencoder for federated learning
Pattern Recognition, Vol. 143
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FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks
Future Generation Computer Systems, Vol. 149, pp. 200-211
2022
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Machine learning techniques to predict different levels of hospital care of CoVid-19
Applied Intelligence, Vol. 52, Núm. 6, pp. 6413-6431
2021
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DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification
International Journal of Intelligent Systems, Vol. 36, Núm. 1, pp. 177-199
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Federated Learning approach for Spectral Clustering
ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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Regularized One-Layer Neural Networks for Distributed and Incremental Environments
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020
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Online learning for anomaly detection via subdivisible convex hulls
Proceedings of the International Joint Conference on Neural Networks
2019
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A Machine Learning Solution for Distributed Environments and Edge Computing
XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September
2018
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A review of adaptive online learning for artificial neural networks
Artificial Intelligence Review, Vol. 49, Núm. 2, pp. 281-299
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An incremental non-iterative learning method for one-layer feedforward neural networks
Applied Soft Computing Journal, Vol. 70, pp. 951-958
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LANN-DSVD: A privacy-preserving distributed algorithm for machine learning
ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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LANN-SVD: A non-iterative SVD-Based learning algorithm for one-layer neural networks
IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, Núm. 8, pp. 3900-3905
2016
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A fast learning algorithm for high dimensional problems: An application to microarrays
ESANN 2016 - 24th European Symposium on Artificial Neural Networks
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Distributed learning algorithm for feedforward neural networks
ESANN 2016 - 24th European Symposium on Artificial Neural Networks