Pablo Morales-Alvarez

According to our database, Pablo Morales-Alvarez authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning.

Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.

Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina

Pattern Recognit., February, 2024

Focused active learning for histopathological image classification.

Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos

Medical Image Anal., 2024

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection.

Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos

Expert Syst. Appl., 2024

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.

Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos

CoRR, 2024

Learning from crowds for automated histopathological image segmentation.

Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery A. Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos

Comput. Medical Imaging Graph., 2024

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.

Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos

Artif. Intell., 2024

2023

Probabilistic fusion of crowds and experts for the search of gravitational waves.

Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos

Knowl. Based Syst., 2023

Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification.

Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos

IEEE Access, 2023

Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.

Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation.

Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students.

Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO.

Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Simultaneous Missing Value Imputation and Structure Learning with Groups.

Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups.

Pablo Morales-Alvarez, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Miltiadis Allamanis, Cheng Zhang

CoRR, 2021

Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion.

Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas, Rafael Molina, Gustau Camps-Valls

CoRR, 2021

Activation-level uncertainty in deep neural networks.

Pablo Morales-Alvarez, Daniel Hernández-Lobato, Rafael Molina, José Miguel Hernández-Lobato

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Learning from crowds with variational Gaussian processes.

Pablo Ruiz, Pablo Morales-Alvarez, Rafael Molina, Aggelos K. Katsaggelos

Pattern Recognit., 2019

Scalable and efficient learning from crowds with Gaussian processes.

Pablo Morales-Alvarez, Pablo Ruiz, Raúl Santos-Rodríguez, Rafael Molina, Aggelos K. Katsaggelos

Inf. Fusion, 2019

2018

Remote Sensing Image Classification With Large-Scale Gaussian Processes.

Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls

IEEE Trans. Geosci. Remote. Sens., 2018

Deep Gaussian Processes for Geophysical Parameter Retrieval.

Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Rafael Molina, Gustau Camps-Valls

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

The NoiseFiltersR Package: Label Noise Preprocessing in R.

Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera

R J., 2017

Efficient remote sensing image classification with Gaussian processes and Fourier features.

Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Passive millimeter wave image classification with large scale Gaussian processes.

Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

A First Study on the Use of Boosting for Class Noise Reparation.

Pablo Morales-Alvarez, Julián Luengo, Francisco Herrera

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016