Listar por Materia Deep Learning
Mostrando resultados 1 a 8 de 8
| Fecha de publicación | Título | Autor(es) |
| 2024 | A CRPS loss for deep probabilistic regression. | Marchesoni-Acland, Franco; Alonso-Suárez, Rodrigo; Herrera, Andrés; Kherroubi, Josselin; Morel, Jean M.; Facciolo, Gabriele |
| 2022 | DC-VAE, Fine-grained anomaly detection in multivariate time-series with dilated convolutions and variational auto encoders | García González, Gastón; Martínez Tagliafico, Sergio; Fernández, Alicia; Gómez, Gabriel; Acuña, José; Casas, Pedro |
| 2024 | Deep-TEMPEST : Using deep learning to eavesdrop on HDMI from its unintended electromagnetic emanations. | Fernández, Santiago; Martínez, Emilio; Varela, Gabriel; Musé, Pablo; Larroca, Federico |
| 2020 | DeepMAL - Deep learning models for malware traffic detection and classification | Marín, Gonzalo; Casas, Pedro; Capdehourat, Germán |
| 2021 | DeepMAL - Deep learning models for malware traffic detection and classification. | Marín, Gonzalo; Casas, Pedro; Capdehourat, Germán |
| 2022 | Mining multivariate time-series for anomaly detection in mobile networks on the usage of variational auto encoders and dilated convolutions | García González, Gastón; Martínez Tagliafico, Sergio; Fernández, Alicia; Gómez, Gabriel; Acuña, José; Mariño, Camilo; Casas, Pedro |
| 2023 | One model to find them all deep learning for multivariate time-series anomaly detection in mobile network data | García González, Gastón; Martínez Tagliafico, Sergio; Fernández, Alicia; Gómez, Gabriel; Acuña, José; Casas, Pedro |
| 2021 | Web application attacks detection using deep learning | Montes, Nicolás; Betarte, Gustavo; Martínez, Rodrigo; Pardo, Alvaro |
