José Manuel Gutiérrez

1. Who learns better Bayesian network structures: Accuracy and speed of structure learning algorithms
   2019/10/10 by Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez · 6 citations
   Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #Geochemistry and Geologic Mapping
2. Multi-variable Hard Physical Constraints for Climate Model Downscaling
   2023/08/02 by José González-Abad, González-Abad, Jose, Álex Hernández-García +7 · 4 citations
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate change and permafrost #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
3. Transferability and explainability of deep learning emulators for regional climate model projections: Perspectives for future applications
   2023/11/01 by Jorge Baño‐Medina, Bano-Medina, Jorge, Maialen Iturbide +5 · 3 citations
   Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Hydrological Forecasting Using AI #Meteorological Phenomena and Simulations
4. Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches
   2023/02/03 by José González-Abad, González-Abad, Jose, Jorge Baño‐Medina +3 · 2 citations
   Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations
5. Deep Learning Emulation of Multivariate Climate Indices: A Case Study of the Fire Weather Index in the Iberian Peninsula
   2026/07/22 by Óscar Mirones, Joaquín Bedia, Pedro M. M. Soares +2 · 1 voice
   Earth and Planetary Sciences · Engineering · Environmental Science · #Air Quality Monitoring and Forecasting #Energy Load and Power Forecasting #Meteorological Phenomena and Simulations