| Network traffic classifier with convolutional and recurrent neural networks for Internet of Things M Lopez-Martin, B Carro, A Sanchez-Esguevillas, J Lloret IEEE access 5, 18042-18050, 2017 | 696 | 2017 |
| Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot M Lopez-Martin, B Carro, A Sanchez-Esguevillas, J Lloret Sensors 17 (9), 1967, 2017 | 298 | 2017 |
| Application of deep reinforcement learning to intrusion detection for supervised problems M Lopez-Martin, B Carro, A Sanchez-Esguevillas Expert Systems with Applications 141, 112963, 2020 | 282 | 2020 |
| Adversarial environment reinforcement learning algorithm for intrusion detection G Caminero, M Lopez-Martin, B Carro Computer Networks 159, 96-109, 2019 | 179 | 2019 |
| Shallow neural network with kernel approximation for prediction problems in highly demanding data networks M Lopez-Martin, B Carro, A Sanchez-Esguevillas, J Lloret Expert Systems with Applications 124, 196-208, 2019 | 67 | 2019 |
| Supervised contrastive learning over prototype-label embeddings for network intrusion detection M Lopez-Martin, A Sanchez-Esguevillas, JI Arribas, B Carro Information Fusion 79, 200-228, 2022 | 60 | 2022 |
| Neural network architecture based on gradient boosting for IoT traffic prediction M Lopez-Martin, B Carro, A Sanchez-Esguevillas Future Generation Computer Systems 100, 656-673, 2019 | 59 | 2019 |
| Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets M Lopez-Martin, B Carro, J Lloret, S Egea, A Sanchez-Esguevillas IEEE Communications Magazine 56 (9), 110-117, 2018 | 51 | 2018 |
| Detection of early stages of Alzheimer’s disease based on MEG activity with a randomized convolutional neural network M Lopez-Martin, A Nevado, B Carro Artificial Intelligence in Medicine 107, 101924, 2020 | 46 | 2020 |
| Variational data generative model for intrusion detection M Lopez-Martin, B Carro, A Sanchez-Esguevillas Knowledge and Information Systems, 1-22, 2018 | 43 | 2018 |
| Network intrusion detection based on extended RBF neural network with offline reinforcement learning M Lopez-Martin, A Sanchez-Esguevillas, JI Arribas, B Carro IEEE Access 9, 153153-153170, 2021 | 42 | 2021 |
| A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures R Abadía-Heredia, M López-Martín, B Carro, JI Arribas, JM Pérez, ... Expert Systems with Applications 187, 115910, 2022 | 38 | 2022 |
| IoT type-of-traffic forecasting method based on gradient boosting neural networks M Lopez-Martin, B Carro, A Sanchez-Esguevillas Future Generation Computer Systems 105, 331-345, 2020 | 36 | 2020 |
| Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network M Lopez-Martin, S Le Clainche, B Carro Expert Systems with Applications 177, 114924, 2021 | 25 | 2021 |
| Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses M Lopez-Martin, B Carro, JI Arribas, A Sanchez-Esguevillas Knowledge-based systems 219, 106887, 2021 | 23 | 2021 |
| Novel data-driven models applied to short-term electric load forecasting M Lopez-Martin, A Sanchez-Esguevillas, L Hernandez-Callejo, JI Arribas, ... Applied Sciences 11 (12), 5708, 2021 | 19 | 2021 |
| Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric-load forecasting M Lopez-Martin, A Sanchez-Esguevillas, L Hernandez-Callejo, JI Arribas, ... Sensors 21 (9), 2979, 2021 | 17 | 2021 |
| Review of methods to predict connectivity of IoT wireless devices ML Martin, A Sanchez-Esguevillas, B Carro Ad Hoc & Sensor Wireless Networks 38 (1–4), 125-41, 2017 | 17 | 2017 |
| ModelFLOWs-app: data-driven post-processing and reduced order modelling tools A Hetherington, A Corrochano, R Abadía-Heredia, E Lazpita, E Muñoz, ... arXiv preprint arXiv:2305.17150, 2023 | 4 | 2023 |
| Contrastive learning over random fourier features for iot network intrusion detection M Lopez-Martin, A Sanchez-Esguevillas, JI Arribas, B Carro IEEE Internet of Things Journal, 2022 | 4 | 2022 |
Belén CarroUniversidad de ValladolidVerified email at tel.uva.es
