E-LIB Suche - Ergebnisse für: Carro Martínez, Belén - Sprache DE

Personensuche X

Sortierung: Relevanz

Sortierung: Jahr

1

Exploratory study on Class Imbalance and solutions for Netw..:

Gómez, Santiago Egea ; Hernández-Callejo, Luis ; Martínez, Belén Carro.
Neurocomputing. 343 (2019) - p. 100-119 , 2019

Link: https://doi.org/10.1016/..

2

Ensemble network traffic classification: Algorithm comparis..:

Gómez, Santiago Egea ; Martínez, Belén Carro ; Sánchez-Esguevillas, Antonio J..
Computer Networks. 127 (2017) - p. 68-80 , 2017

Link: https://doi.org/10.1016/..

3

Automatic UMTS system resource dimensioning based on servic..:

García, Pablo Alonso ; González, Alberto Álvarez ; Alonso, Alonso Alonso...
EURASIP Journal on Wireless Communications and Networking. 2012 (2012) 1 - p. , 2012

Link: https://doi.org/10.1186/..

4

Supervised contrastive learning over prototype-label embedd..:

López Martín, Manuel ; Sánchez Esguevillas, Antonio Javier ; Arribas Sánchez, Juan Ignacio.
https://www.sciencedirect.com/science/article/pii/S1566253521001913?via%3Dihub. , 2022

Link: https://uvadoc.uva.es/ha..

5

Network intrusion detection based on extended RBF neural ne..:

López Martín, Manuel ; Sánchez Esguevillas, Antonio Javier ; Arribas Sánchez, Juan Ignacio.
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9612220. , 2021

Link: https://uvadoc.uva.es/ha..

6

Model-free short-term fluid dynamics estimator with a deep ..:

López Martín, Manuel ; Le Clainche, Soledad ; Carro Martínez, Belén
https://www.sciencedirect.com/science/article/pii/S0957417421003651. , 2021

Link: https://uvadoc.uva.es/ha..

7

Application of deep reinforcement learning to intrusion det..:

López Martín, Manuel ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier
https://www.sciencedirect.com/science/article/pii/S0957417419306815?via%3Dihub. , 2020

Link: https://uvadoc.uva.es/ha..

8

IoT type-of-traffic forecasting method based on gradient bo..:

López Martín, Manuel ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier
https://www.sciencedirect.com/science/article/pii/S0167739X19322319?via%3Dihub. , 2020

Link: https://uvadoc.uva.es/ha..

9

Shallow neural network with kernel approximation for predic..:

López Martín, Manuel ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier.
https://www.sciencedirect.com/science/article/pii/S0957417419300843#ack0001. , 2019

Link: https://uvadoc.uva.es/ha..

10

Adversarial environment reinforcement learning algorithm fo..:

Caminero Fernández, Guillermo ; López Martín, Manuel ; Carro Martínez, Belén
https://www.sciencedirect.com/science/article/pii/S1389128618311216?via%3Dihub. , 2019

Link: https://uvadoc.uva.es/ha..

11

Neural network architecture based on gradient boosting for ..:

López Martín, Manuel ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier
https://www.sciencedirect.com/science/article/pii/S0167739X19310064. , 2019

Link: https://uvadoc.uva.es/ha..

12

Variational data generative model for intrusion detection:

López Martín, Manuel ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier
https://link.springer.com/article/10.1007/s10115-018-1306-7. , 2018

Link: https://uvadoc.uva.es/ha..

13

SIETM_Video demo_Anexo3:

Egea Gómez, Santiago ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier
http://uvadoc.uva.es/handle/10324/11834. , 2015

Link: http://uvadoc.uva.es/han..

14

SIETM_Guía de instalación_Anexo2:

Egea Gómez, Santiago ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier
http://uvadoc.uva.es/handle/10324/11832. , 2015

Link: http://uvadoc.uva.es/han..

15

SIETM_Aplicación_Anexo1:

Egea Gómez, Santiago ; Carro Martínez, Belén ; Sánchez Esguevillas, Antonio Javier
http://uvadoc.uva.es/handle/10324/11833. , 2015

Link: http://uvadoc.uva.es/han..

1-15

Mehr Literatur finden