MANUEL
LOPEZ MARTIN
Forscher in der Zeit 2016-2022
Publikationen (22) Publikationen von MANUEL LOPEZ MARTIN
2024
-
Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics[Formula presented]
Expert Systems with Applications, Vol. 238
-
ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools
Computer Physics Communications, Vol. 301
2023
-
Contrastive Learning over Random Fourier Features for IoT Network Intrusion Detection
IEEE Internet of Things Journal, Vol. 10, Núm. 10, pp. 8505-8513
-
Forecasting through deep learning and modal decomposition in two-phase concentric jets
Expert Systems with Applications, Vol. 232
2022
-
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures[Formula presented]
Expert Systems with Applications, Vol. 187
-
Supervised contrastive learning over prototype-label embeddings for network intrusion detection
Information Fusion, Vol. 79, pp. 200-228
2021
-
Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric‐load forecasting
Sensors, Vol. 21, Núm. 9
-
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network
Expert Systems with Applications, Vol. 177
-
Network Intrusion Detection Based on Extended RBF Neural Network with Offline Reinforcement Learning
IEEE Access, Vol. 9, pp. 153153-153170
-
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses
Knowledge-Based Systems, Vol. 219
-
Novel data-driven models applied to short-term electric load forecasting
Applied Sciences (Switzerland), Vol. 11, Núm. 12
2020
-
Application of deep reinforcement learning to intrusion detection for supervised problems
Expert Systems with Applications, Vol. 141
-
Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network
Artificial Intelligence in Medicine, Vol. 107
-
IoT type-of-traffic forecasting method based on gradient boosting neural networks
Future Generation Computer Systems, Vol. 105, pp. 331-345
2019
-
Adversarial environment reinforcement learning algorithm for intrusion detection
Computer Networks, Vol. 159, pp. 96-109
-
Neural network architecture based on gradient boosting for IoT traffic prediction
Future Generation Computer Systems, Vol. 100, pp. 656-673
-
Shallow neural network with kernel approximation for prediction problems in highly demanding data networks
Expert Systems with Applications, Vol. 124, pp. 196-208
-
Variational data generative model for intrusion detection
Knowledge and Information Systems, Vol. 60, Núm. 1, pp. 569-590
2018
-
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
-
Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot
Sensors (Switzerland), Vol. 17, Núm. 9