Manuel López Martín

26 papers Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning.
CoRR
Rodrigo Abadía-Heredia, Manuel López Martín, Soledad Le Clainche
2024 J jnl
Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics.
Expert Syst. Appl.
P. Díaz-Morales, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche
2024 J jnl
Exploring the efficacy of a hybrid approach with modal decomposition over fully deep learning models for flow dynamics forecasting.
CoRR
Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche
2024 J jnl
ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools.
Comput. Phys. Commun.
Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Maiora, Manuel López Martín, Soledad Le Clainche
2023 J jnl
Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection.
IEEE Internet Things J.
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
2023 J jnl
Forecasting through deep learning and modal decomposition in two-phase concentric jets.
Expert Syst. Appl.
León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche
2023 J jnl
ModelFLOWs-app: data-driven post-processing and reduced order modelling tools.
CoRR
Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Moira, Manuel López Martín, Soledad Le Clainche
2022 J jnl
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures.
Expert Syst. Appl.
Rodrigo Abadía-Heredia, Manuel López Martín, Belén Carro, Juan Ignacio Arribas, José Miguel Pérez, Soledad Le Clainche
2022 J jnl
Forecasting through deep learning and modal decomposition in multi-phase concentric jets.
CoRR
León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche
2022 J jnl
Supervised contrastive learning over prototype-label embeddings for network intrusion detection.
Inf. Fusion
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
2021 J jnl
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting.
Sensors
Manuel López Martín, Antonio Sánchez-Esguevillas, Luis Hernández-Callejo, Juan Ignacio Arribas, Belén Carro
2021 J jnl
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network.
Expert Syst. Appl.
Manuel López Martín, Soledad Le Clainche, Belén Carro
2021 J jnl
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning.
IEEE Access
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
2021 J jnl
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses.
Knowl. Based Syst.
Manuel López Martín, Belén Carro, Juan Ignacio Arribas, Antonio Sánchez-Esguevillas
2020 J jnl
Application of deep reinforcement learning to intrusion detection for supervised problems.
Expert Syst. Appl.
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
2020 J jnl
Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network.
Artif. Intell. Medicine
Manuel López Martín, Angel Nevado, Belén Carro
2020 J jnl
IoT type-of-traffic forecasting method based on gradient boosting neural networks.
Future Gener. Comput. Syst.
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
2019 J jnl
Adversarial environment reinforcement learning algorithm for intrusion detection.
Comput. Networks
Guillermo Caminero, Manuel López Martín, Belén Carro
2019 J jnl
Neural network architecture based on gradient boosting for IoT traffic prediction.
Future Gener. Comput. Syst.
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
2019 J jnl
Shallow neural network with kernel approximation for prediction problems in highly demanding data networks.
Expert Syst. Appl.
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
2019 J jnl
Variational data generative model for intrusion detection.
Knowl. Inf. Syst.
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
2018 J jnl
Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets.
IEEE Commun. Mag.
Manuel López Martín, Belén Carro, Jaime Lloret, Santiago Egea Gómez, Antonio Sánchez-Esguevillas
2017 J jnl
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT.
Sensors
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
2017 J jnl
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things.
IEEE Access
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
2017 J jnl
Review of Methods to Predict Connectivity of IoT Wireless Devices.
Ad Hoc Sens. Wirel. Networks
Manuel López Martín, Antonio Sánchez-Esguevillas, Belén Carro
2013 — conf
Detection Method for Phase Synchronization in a Population of Spiking Neurons.
IWINAC (1)
Manuel López Martín, Francisco B. Rodríguez