Manuel López Martín
Orcid: 0000-0003-3550-560X
According to our database1,
Manuel López Martín
authored at least 24 papers
between 2013 and 2024.
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Bibliography
2024
Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics.
Expert Syst. Appl., March, 2024
Exploring the efficacy of a hybrid approach with modal decomposition over fully deep learning models for flow dynamics forecasting.
CoRR, 2024
2023
Forecasting through deep learning and modal decomposition in two-phase concentric jets.
Expert Syst. Appl., December, 2023
Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection.
IEEE Internet Things J., May, 2023
CoRR, 2023
2022
Supervised contrastive learning over prototype-label embeddings for network intrusion detection.
Inf. Fusion, 2022
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures.
Expert Syst. Appl., 2022
Forecasting through deep learning and modal decomposition in multi-phase concentric jets.
CoRR, 2022
2021
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting.
Sensors, 2021
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses.
Knowl. Based Syst., 2021
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network.
Expert Syst. Appl., 2021
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning.
IEEE Access, 2021
2020
Future Gener. Comput. Syst., 2020
Application of deep reinforcement learning to intrusion detection for supervised problems.
Expert Syst. Appl., 2020
Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network.
Artif. Intell. Medicine, 2020
2019
Future Gener. Comput. Syst., 2019
Shallow neural network with kernel approximation for prediction problems in highly demanding data networks.
Expert Syst. Appl., 2019
Comput. Networks, 2019
2018
Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets.
IEEE Commun. Mag., 2018
2017
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT.
Sensors, 2017
Ad Hoc Sens. Wirel. Networks, 2017
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things.
IEEE Access, 2017
2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013