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ORCIDManuel López Martín
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2020 – today
- 2024
[j21]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: 109217 (2024)- [j20]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): 121924 (2024) - [i3]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 abs/2404.17884 (2024) - 2023
- [j19]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: 120817 (2023) - [j18]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): 8505-8513 (2023) - [i2]Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Moira, Manuel López Martín, Soledad Le Clainche:
ModelFLOWs-app: data-driven post-processing and reduced order modelling tools. CoRR abs/2305.17150 (2023) - 2022
- [j17]Rodrigo 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: 115910 (2022) - [j16]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: 200-228 (2022) - [i1]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 abs/2212.12731 (2022) - 2021
- [j15]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: 153153-153170 (2021) - [j14]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: 114924 (2021) - [j13]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: 106887 (2021) - [j12]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): 2979 (2021) - 2020
- [j11]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: 101924 (2020) - [j10]Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas:
Application of deep reinforcement learning to intrusion detection for supervised problems. Expert Syst. Appl. 141 (2020) - [j9]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: 331-345 (2020)
2010 – 2019
- 2019
- [j8]Guillermo Caminero, Manuel López Martín, Belén Carro:
Adversarial environment reinforcement learning algorithm for intrusion detection. Comput. Networks 159: 96-109 (2019) - [j7]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: 196-208 (2019) - [j6]Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas:
Neural network architecture based on gradient boosting for IoT traffic prediction. Future Gener. Comput. Syst. 100: 656-673 (2019) - [j5]Manuel López Martín, Belén Carro, Antonio Sánchez-Esguevillas:
Variational data generative model for intrusion detection. Knowl. Inf. Syst. 60(1): 569-590 (2019) - 2018
- [j4]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): 110-117 (2018) - 2017
- [j3]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: 18042-18050 (2017) - [j2]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): 125-141 (2017) - [j1]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): 1967 (2017) - 2013
- [c1]Manuel López Martín, Francisco B. Rodríguez:
Detection Method for Phase Synchronization in a Population of Spiking Neurons. IWINAC (1) 2013: 421-431
Coauthor Index
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