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ORCIDPablo Morales-Alvarez
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2020 – today
- 2024
[j13]Francisco M. Castro-Macías
, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. 331: 104115 (2024)- [j12]Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. 112: 102327 (2024) - [j11]Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
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. 240: 122296 (2024) - [j10]Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos:
Focused active learning for histopathological image classification. Medical Image Anal. 95: 103162 (2024) - [j9]Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina:
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. Pattern Recognit. 146: 110057 (2024) - [j8]Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10909-10922 (2024) - [i11]Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos:
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR abs/2403.14829 (2024) - [i10]Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina:
Focused Active Learning for Histopathological Image Classification. CoRR abs/2404.04663 (2024) - 2023
- [j7]Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos:
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access 11: 6922-6934 (2023) - [j6]Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Probabilistic fusion of crowds and experts for the search of gravitational waves. Knowl. Based Syst. 261: 110183 (2023) - [c9]Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos:
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME 2023: 245-249 - [c8]Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. ICCV 2023: 21040-21049 - [c7]Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. MICCAI (5) 2023: 327-337 - [i9]Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning. CoRR abs/2302.04061 (2023) - [i8]Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. CoRR abs/2307.09457 (2023) - [i7]Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina:
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. CoRR abs/2307.11397 (2023) - [i6]Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina:
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. CoRR abs/2310.19359 (2023) - 2022
- [j5]Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1534-1551 (2022) - [c6]Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang:
Simultaneous Missing Value Imputation and Structure Learning with Groups. NeurIPS 2022 - 2021
- [c5]Pablo Morales-Alvarez, Daniel Hernández-Lobato, Rafael Molina, José Miguel Hernández-Lobato:
Activation-level uncertainty in deep neural networks. ICLR 2021 - [i5]Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion. CoRR abs/2104.10638 (2021) - [i4]Pablo Morales-Alvarez, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Miltiadis Allamanis, Cheng Zhang:
VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups. CoRR abs/2110.08223 (2021) - 2020
- [i3]Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for geophysical parameter retrieval. CoRR abs/2012.12099 (2020)
2010 – 2019
- 2019
- [j4]Pablo Morales-Alvarez, Pablo Ruiz, Raúl Santos-Rodríguez, Rafael Molina, Aggelos K. Katsaggelos:
Scalable and efficient learning from crowds with Gaussian processes. Inf. Fusion 52: 110-127 (2019) - [j3]Pablo Ruiz, Pablo Morales-Alvarez, Rafael Molina, Aggelos K. Katsaggelos:
Learning from crowds with variational Gaussian processes. Pattern Recognit. 88: 298-311 (2019) - [i2]Pablo Morales-Alvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos:
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. CoRR abs/1911.01915 (2019) - 2018
- [j2]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Remote Sensing Image Classification With Large-Scale Gaussian Processes. IEEE Trans. Geosci. Remote. Sens. 56(2): 1103-1114 (2018) - [c4]Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Rafael Molina, Gustau Camps-Valls:
Deep Gaussian Processes for Geophysical Parameter Retrieval. IGARSS 2018: 6175-6178 - 2017
- [j1]Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera:
The NoiseFiltersR Package: Label Noise Preprocessing in R. R J. 9(1): 219 (2017) - [c3]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos:
Passive millimeter wave image classification with large scale Gaussian processes. ICIP 2017: 370-374 - [c2]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Efficient remote sensing image classification with Gaussian processes and Fourier features. IGARSS 2017: 2227-2230 - [i1]Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls:
Remote Sensing Image Classification with Large Scale Gaussian Processes. CoRR abs/1710.00575 (2017) - 2016
- [c1]Pablo Morales-Alvarez, Julián Luengo, Francisco Herrera:
A First Study on the Use of Boosting for Class Noise Reparation. HAIS 2016: 549-559
Coauthor Index
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