| 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 | 46 | 2017 |
| 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 | 38 | 2020 |
| Learning from crowds with variational Gaussian processes P Ruiz, P Morales-Álvarez, R Molina, AK Katsaggelos Pattern Recognition 88, 298-311, 2019 | 38 | 2019 |
| 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 | 31 | 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 | 21 | 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 | 19 | 2017 |
| 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 | 18* | 2022 |
| 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 | 16 | 2020 |
| 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 | 14 | 2023 |
| Activation-level uncertainty in deep neural networks P Morales-Álvarez, D Hernández-Lobato, R Molina, ... International Conference on Learning Representations (ICLR) 2021, 2021 | 14 | 2021 |
| 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 | 10 | 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 | 9 | 2023 |
| 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 | 6 | 2018 |
| Myers and Hawking theorems: Geometry for the limits of the Universe P Morales Álvarez, M Sánchez Milan Journal of Mathematics 83, 295-311, 2015 | 6 | 2015 |
| A note on the causal homotopy classes of a globally hyperbolic spacetime PM Álvarez, M Sánchez Classical and Quantum Gravity 32 (19), 197001, 2015 | 6 | 2015 |
| Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images P Morales-Álvarez, A Schmidt, JM Hernández-Lobato, R Molina Pattern Recognition 146, 110057, 2024 | 5 | 2024 |
| Bibliometric analysis of the global scientific production on machine learning applied to different cancer types MA Ruiz-Fresneda, A Gijón, P Morales-Álvarez Environmental Science and Pollution Research, 2023 | 5 | 2023 |
| 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 | 5 | 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 | 4 | 2023 |
| 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 | 4 | 2016 |
Rafael MolinaProfessor of Computer Science, University of GranadaZweryfikowany adres z decsai.ugr.es
