Pablo Morales-Álvarez
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Remote sensing image classification with large-scale Gaussian processes
P Morales-Alvarez, A Pérez-Suay, R Molina, G Camps-Valls
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 1103-1114, 2017
Learning from crowds with variational Gaussian processes
P Ruiz, P Morales-Álvarez, R Molina, AK Katsaggelos
Pattern Recognition 88, 298-311, 2019
Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
DH Svendsen, P Morales-Álvarez, AB Ruescas, R Molina, G Camps-Valls
ISPRS Journal of Photogrammetry and Remote Sensing 166, 68-81, 2020
Learning from crowds in digital pathology using scalable variational Gaussian processes
M López-Pérez, M Amgad, P Morales-Álvarez, P Ruiz, LAD Cooper, ...
Scientific reports 11 (1), 11612, 2021
Scalable and efficient learning from crowds with Gaussian processes
P Morales-Álvarez, P Ruiz, R Santos-Rodríguez, R Molina, ...
Information Fusion 52, 110-127, 2019
The noisefiltersr package: label noise preprocessing in R
P Morales, J Luengo, LPF Garcia, AC Lorena, AC de Carvalho, F Herrera
The R Journal 9 (1), 219-228, 2017
Scalable variational Gaussian processes for crowdsourcing: Glitch detection in LIGO
P Morales-Alvarez, P Ruiz, S Coughlin, R Molina, AK Katsaggelos
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1534-1551, 2020
Simultaneous Missing Value Imputation and Structure Learning with Groups
P Morales-Alvarez, W Gong, A Lamb, S Woodhead, SP Jones, ...
Advances in Neural Information Processing Systems (NeurIPS) 2022, 2022
Activation-level uncertainty in deep neural networks
P Morales-Álvarez, D Hernández-Lobato, R Molina, ...
International Conference on Learning Representations (ICLR) 2021, 2021
Probabilistic attention based on gaussian processes for deep multiple instance learning
A Schmidt, P Morales-Alvarez, R Molina
IEEE Transactions on Neural Networks and Learning Systems, 2023
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
A Schmidt, P Morales-Álvarez, R Molina
International Conference on Computer Vision (ICCV) 2023, 2023
Deep Gaussian Processes for classification with multiple noisy annotators. Application to breast cancer tissue classification
M López-Pérez, P Morales-Álvarez, LAD Cooper, R Molina, ...
IEEE Access, 2023
Myers and Hawking theorems: Geometry for the limits of the Universe
P Morales Álvarez, M Sánchez
Milan Journal of Mathematics 83, 295-311, 2015
Deep gaussian processes for geophysical parameter retrieval
DH Svendsen, P Morales-Alvarez, R Molina, G Camps-Valls
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
A note on the causal homotopy classes of a globally hyperbolic spacetime
PM Álvarez, M Sánchez
Classical and Quantum Gravity 32 (19), 197001, 2015
A first study on the use of boosting for class noise reparation
PM Álvarez, J Luengo, F Herrera
Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016
Probabilistic fusion of crowds and experts for the search of gravitational waves
P Ruiz, P Morales-Álvarez, S Coughlin, R Molina, AK Katsaggelos
Knowledge-Based Systems 261, 110183, 2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Y Wu, FM Castro-Macías, P Morales-Álvarez, R Molina, K Aggelos K.
International Conference on Medical Image Computing and Computer Assisted …, 2023
Passive millimeter wave image classification with large scale gaussian processes
P Morales, A Pérez-Suay, R Molina, G Camps-Valls, AK Katsaggelos
2017 IEEE International Conference on Image Processing (ICIP), 370-374, 2017
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection
J Pérez-Cano, Y Wu, A Schmidt, M López-Pérez, P Morales-Álvarez, ...
Expert Systems with Applications 240, 122296, 2024
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