Producción científica
Buscar por:
Lista de artículos
| Publicación |
|
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
|
|
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
|
|
J. Silva-Rodríguez, A. Schmidt, M.A. Sales, R. Molina Soriano
and
V. Naranjo,
"Proportion constrained weakly supervised histopathology image classification", "Computers in Biology and Medicine"
, vol.147, 105714-105714, 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
|
|
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,
"Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning", "IEEE Access"
, vol.10, 9763 -9773, 2022
|
|
N. Kanwal, F. Pérez Bueno, A. Schmidt, K. Engan
and
R. Molina Soriano,
"The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review", "IEEE Access"
, vol.10, 58821-58844, 2022
|
|
|
Última actualización del SICA: 10/01/2024
noviembre 2024
