| Wildfire Danger Prediction and Understanding with Deep Learning S Kondylatos, I Prapas, M Ronco, I Papoutsis, G Camps‐Valls, M Piles, ... Geophysical Research Letters, e2022GL099368, 2022 | 39 | 2022 |
| Deep learning methods for daily wildfire danger forecasting I Prapas, S Kondylatos, I Papoutsis, G Camps-Valls, M Ronco, ... arXiv preprint arXiv:2111.02736, 2021 | 28* | 2021 |
| Interpretable global-local dynamics for the prediction of eye fixations in autonomous driving scenarios J Martinez-Cebrian, MA Fernandez-Torres, F Diaz-De-Maria IEEE Access 8, 217068-217085, 2020 | 10 | 2020 |
| Enriched dermoscopic-structure-based cad system for melanoma diagnosis J López-Labraca, MÁ Fernández-Torres, I González-Díaz, ... Multimedia Tools and Applications 77, 12171-12202, 2018 | 8 | 2018 |
| A Bayesian model for brain tumor classification using clinical-based features T Martínez-Cortés, MÁ Fernández-Torres, A Jiménez-Moreno, ... 2014 IEEE International Conference on Image Processing (ICIP), 2779-2783, 2014 | 8 | 2014 |
| Probabilistic topic model for context-driven visual attention understanding MÁ Fernández-Torres, I González-Díaz, F Díaz-de-María IEEE Transactions on Circuits and Systems for Video Technology 30 (6), 1653-1667, 2019 | 6 | 2019 |
| Learning Granger Causal Feature Representations G Varando, MA Fernández-Torres, G Camps-Valls ICML 2021 Workshop Tackling Climate Change with Machine Learning, 2021 | 5 | 2021 |
| A probabilistic topic approach for context-aware visual attention modeling MÁ Fernández-Torres, I González-Díaz, F Díaz-de-María 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI …, 2016 | 4 | 2016 |
| Learning About Student Performance from Moodle Logs in a Higher Education Context A Pérez-Suay, S Van Vaerenbergh, M Piles, V Laparra, ... IEEE, 2022 | 2 | 2022 |
| Explainable deep learning for wildfire danger estimation M Ronco, I Prapas, S Kondylatos, I Papoutsis, G Camps-Valls, ... EGU General Assembly Conference Abstracts, EGU22-11787, 2022 | 2 | 2022 |
| USCC: A Benchmark Dataset for Crop Yield Prediction under Climate Extremes A Höhl, S Ofori-Ampofo, I Obadic, MÁ Fernández-Torres, R Salih Kuzu, ... EGU General Assembly Conference Abstracts, EGU-15540, 2023 | 1 | 2023 |
| Assessing the Impact of Using Short Videos for Teaching at University Level V Laparra, M Piles, A Pérez-Suay, J Muñoz-Marí, J Amorós, ... 2022 XII International Conference on Virtual Campus (JICV), 1-4, 2022 | 1 | 2022 |
| Learning Causal Representations with Granger PCA G Varando, MÁ Fernández-Torres, J Muñoz-Marí, G Camps-Valls UAI 2022 Workshop on Causal Representation Learning, 2022 | 1 | 2022 |
| Herramientas y recursos de motivación online para actividades en clase MAFT José Adsuara, Roberto Fernandez, Luis Gómez-Chova, Valero Laparra ... IN-RED 2022: VIII Congreso de Innovación Educativa y Docencia en Red, 2022 | 1* | 2022 |
| Recent Advances in Deep Learning for Spatio-Temporal Drought Monitoring, Forecasting and Model Understanding M Gonzalez-Calabuig, J Cortés-Andrés, MÁ Fernández-Torres, ... EGU22, 2022 | 1 | 2022 |
| Exploiting visual saliency for assessing the impact of car commercials upon viewers F Fernández-Martínez, A Hernández-García, MA Fernandez-Torres, ... Multimedia Tools and Applications 77, 18903-18933, 2018 | 1 | 2018 |
| Detecting spatio-temporal dynamics of western European heatwaves using deep learning T Happe, J Wijnands, MÁ Fernández-Torres, P Scussolini, L Muntjewerf, ... EGU24, 2024 | | 2024 |
| Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing A Höhl, I Obadic, MÁ Fernández-Torres, H Najjar, D Oliveira, Z Akata, ... arXiv preprint arXiv:2402.13791, 2024 | | 2024 |
| Explainable Artificial Intelligence for Extreme Event Forecasting on Sentinel-2 GCV O.J. Pellicer-Valero, M.A. Fernández-Torres EC-ESA Joint Earth System Science Initiative 2023, 2023 | | 2023 |
| Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario JE Adsuara Fuster, A Pérez-Suay, AB Ruescas, A Moreno-Martínez, ... Editorial Universitat Politècnica de València, 2023 | | 2023 |
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de ValènciaDirección de correo verificada de uv.es
