Manuel López Martín

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Gradient Boosting

Network Traffic

Top Venues

Expert Syst. Appl.

Future Gener. Comput. Syst.

Publications

P. Díaz-Morales, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche
Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics. Expert Syst. Appl. 238 (Part B) (2024)
Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche
Exploring the efficacy of a hybrid approach with modal decomposition over fully deep learning models for flow dynamics forecasting. CoRR (2024)
Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Maiora, Manuel López Martín, Soledad Le Clainche
ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools. Comput. Phys. Commun. 301 (2024)
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
Contrastive Learning Over Random Fourier Features for IoT Network Intrusion Detection. IEEE Internet Things J. 10 (10) (2023)
León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche
Forecasting through deep learning and modal decomposition in two-phase concentric jets. Expert Syst. Appl. 232 (2023)
R. Abadía-Heredia, Manuel López Martín, Belén Carro, Juan Ignacio Arribas, José Miguel Pérez, Soledad Le Clainche
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures. Expert Syst. Appl. 187 (2022)
León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche
Forecasting through deep learning and modal decomposition in multi-phase concentric jets. CoRR (2022)
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
Supervised contrastive learning over prototype-label embeddings for network intrusion detection. Inf. Fusion 79 (2022)
Manuel López Martín, Antonio Sánchez-Esguevillas, Juan Ignacio Arribas, Belén Carro
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning. IEEE Access 9 (2021)
Manuel López Martín, Antonio Sánchez-Esguevillas, Luis Hernández-Callejo, Juan Ignacio Arribas, Belén Carro
Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting. Sensors 21 (9) (2021)
Manuel López Martín, Soledad Le Clainche, Belén Carro
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network. Expert Syst. Appl. 177 (2021)
Manuel López Martín, Belén Carro, Juan Ignacio Arribas, Antonio Sánchez-Esguevillas
Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses. Knowl. Based Syst. 219 (2021)
Manuel López Martín, Angel Nevado, Belén Carro
Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network. Artif. Intell. Medicine 107 (2020)
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
Application of deep reinforcement learning to intrusion detection for supervised problems. Expert Syst. Appl. 141 (2020)
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
IoT type-of-traffic forecasting method based on gradient boosting neural networks. Future Gener. Comput. Syst. 105 (2020)
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
Variational data generative model for intrusion detection. Knowl. Inf. Syst. 60 (1) (2019)
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas
Neural network architecture based on gradient boosting for IoT traffic prediction. Future Gener. Comput. Syst. 100 (2019)
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
Shallow neural network with kernel approximation for prediction problems in highly demanding data networks. Expert Syst. Appl. 124 (2019)
Guillermo Caminero, Manuel López Martín, Belén Carro
Adversarial environment reinforcement learning algorithm for intrusion detection. Comput. Networks 159 (2019)
Manuel López Martín, Belén Carro, Jaime Lloret, Santiago Egea Gómez, Antonio Sánchez-Esguevillas
Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets. IEEE Commun. Mag. 56 (9) (2018)
Manuel López Martín, Antonio Sánchez-Esguevillas, Belén Carro
Review of Methods to Predict Connectivity of IoT Wireless Devices. Ad Hoc Sens. Wirel. Networks 38 (1-4) (2017)
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT. Sensors 17 (9) (2017)
Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things. IEEE Access 5 (2017)
Manuel López Martín, Francisco B. Rodríguez
Detection Method for Phase Synchronization in a Population of Spiking Neurons. IWINAC (1) (2013)