Pablo Morales-Álvarez

28 papers A* 1B 1Journal 25Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
BayesAdapter: Enhanced Uncertainty Estimation in CLIP Few-Shot Adaptation.
Int. J. Comput. Vis.
Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz
2026 J jnl
Improving the Linearized Laplace Approximation via Quadratic Approximations.
CoRR
Pedro Jiménez, Luis A. Ortega, Pablo Morales-Álvarez, Daniel Hernández-Lobato
2026 J jnl
Probabilistic smooth attention for deep multiple instance learning in medical imaging.
Pattern Recognit.
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2026 J jnl
Torchmil: A PyTorch-based library for deep multiple instance learning.
Neurocomputing
Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina
2025 J jnl
Probabilistic smooth attention for deep multiple instance learning in medical imaging.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2025 J jnl
torchmil: A PyTorch-based library for deep Multiple Instance Learning.
CoRR
Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina
2024 J jnl
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection.
Expert Syst. Appl.
Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation.
CoRR
Pablo Morales-Álvarez, Stergios Christodoulidis, Maria Vakalopoulou, Pablo Piantanida, Jose Dolz
2024 J jnl
Focused Active Learning for Histopathological Image Classification.
CoRR
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina
2024 J jnl
Focused active learning for histopathological image classification.
Medical Image Anal.
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
Artif. Intell.
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.
Pattern Recognit.
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
2024 J jnl
Learning from crowds for automated histopathological image segmentation.
Comput. Medical Imaging Graph.
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery A. Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning.
IEEE Trans. Neural Networks Learn. Syst.
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2024 J jnl
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2023 B conf
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students.
AIME
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification.
IEEE Access
Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.
CoRR
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
2023 J jnl
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning.
CoRR
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023 A* conf
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation.
ICCV
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023 J jnl
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation.
CoRR
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023 J jnl
Probabilistic fusion of crowds and experts for the search of gravitational waves.
Knowl. Based Syst.
Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
2023 — conf
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
MICCAI (5)
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
CoRR
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2022 J jnl
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO.
IEEE Trans. Pattern Anal. Mach. Intell.
Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
2020 J jnl
Deep Gaussian Processes for geophysical parameter retrieval.
CoRR
Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina, Gustau Camps-Valls
2017 J jnl
The NoiseFiltersR Package: Label Noise Preprocessing in R.
R J.
Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera