MANUEL
LOPEZ MARTIN
Investigador no período 2016-2022
BELÉN
CARRO MARTÍNEZ
CATEDRATICOS DE UNIVERSIDAD
Publicacións nas que colabora con BELÉN CARRO MARTÍNEZ (19)
2023
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Contrastive Learning over Random Fourier Features for IoT Network Intrusion Detection
IEEE Internet of Things Journal, Vol. 10, Núm. 10, pp. 8505-8513
2022
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A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures[Formula presented]
Expert Systems with Applications, Vol. 187
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Supervised contrastive learning over prototype-label embeddings for network intrusion detection
Information Fusion, Vol. 79, pp. 200-228
2021
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Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric‐load forecasting
Sensors, Vol. 21, Núm. 9
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Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network
Expert Systems with Applications, Vol. 177
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Network Intrusion Detection Based on Extended RBF Neural Network with Offline Reinforcement Learning
IEEE Access, Vol. 9, pp. 153153-153170
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Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses
Knowledge-Based Systems, Vol. 219
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Novel data-driven models applied to short-term electric load forecasting
Applied Sciences (Switzerland), Vol. 11, Núm. 12
2020
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Application of deep reinforcement learning to intrusion detection for supervised problems
Expert Systems with Applications, Vol. 141
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Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network
Artificial Intelligence in Medicine, Vol. 107
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IoT type-of-traffic forecasting method based on gradient boosting neural networks
Future Generation Computer Systems, Vol. 105, pp. 331-345
2019
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Adversarial environment reinforcement learning algorithm for intrusion detection
Computer Networks, Vol. 159, pp. 96-109
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Neural network architecture based on gradient boosting for IoT traffic prediction
Future Generation Computer Systems, Vol. 100, pp. 656-673
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Shallow neural network with kernel approximation for prediction problems in highly demanding data networks
Expert Systems with Applications, Vol. 124, pp. 196-208
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Variational data generative model for intrusion detection
Knowledge and Information Systems, Vol. 60, Núm. 1, pp. 569-590
2018
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Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets
IEEE Communications Magazine, Vol. 56, Núm. 9, pp. 110-117
2017
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Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot
Sensors (Switzerland), Vol. 17, Núm. 9
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Network Traffic Classifier with Convolutional and Recurrent Neural Networks for Internet of Things
IEEE Access, Vol. 5, pp. 18042-18050
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Review of methods to predict connectivity of IoT wireless devices
Ad-Hoc and Sensor Wireless Networks, Vol. 38, Núm. 1-4, pp. 125-141