UGR
  |
> >
Visual Information Processing
(Ref. TIC-116)
30
abril
2024
abril 2024
<- ->
L M X J V S D
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30

Producción científica

Buscar por:



Lista de artículos

Publicación
M. López Pérez, P. Morales Álvarez, L.A.D. Cooper, R. Molina Soriano and A.K. Katsaggelos ,  "Deep Gaussian Processes for classification with multiple noisy annotators. Application to breast cancer tissue classification", "IEEE Access" , vol.11,  6922-6934, 2023
P. Ruiz-Matarán, P. Morales Álvarez, S. Coughlin, R. Molina Soriano and A.K. Katsaggelos ,  "Probabilistic fusion of crowds and experts for the search of gravitational waves", "Knowledge-Based Systems" , -, 2023
A. Schmidt, P. Morales Álvarez and R. Molina Soriano,  "Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning", "IEEE Transactions on Neural Networks and Learning Systems" , -, 2023
F. Pérez Bueno, L. García Martínez, G. Maciá Fernández and R. Molina Soriano,  "Leveraging a Probabilistic PCA model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection", "IEEE/ACM Transactions on Networking" , 1-13, 2022
M.D.C. Rey-Merchán, A. López-Arquillos and J.M. Soto Hidalgo,  "Prevention of Falls from Heights in Construction Using an IoT System Based on Fuzzy Markup Language and JFML", "Applied Sciences" , vol.12, 6057-, 2022
A. Schmidt, J. Silva-Rodríguez, R. Molina Soriano and V. Naranjo,  "Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning", "IEEE Access" , vol.10, 9763 -9773, 2022
M. López Pérez, A. Schmidt, Y. Wu, R. Molina Soriano and A.K. Katsaggelos ,  "Deep Gaussian Processes for Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection", "Computer Methods and Programs in Biomedicine" , vol.219, -, 2022
A. Schmidt, J. Silva -Rodríguez, R. Molina Soriano and V. Naranjo,  "Coupling Semi-Supervised and Multiple Instance Learning for Histopathological Image Classification", "IEEE Access" , vol.10, 9763-9773, 2022

Última actualización del SICA: 10/01/2024

Desarrollado por: