• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 375 matches

• 2024
• 
  Gherardo Varando, Salvador Catsis, Emiliano Diaz, Gustau Camps-Valls:
  Pairwise causal discovery with support measure machines. Appl. Soft Comput. 150: 111030 (2024)
• 
  Dongyu Zheng, Hanting Zhong, Gustau Camps-Valls, Zhisong Cao, Xiaogang Ma, Benjamin Mills, Xiumian Hu, Mingcai Hou, Chao Ma:
  Explainable deep learning for automatic rock classification. Comput. Geosci. 184: 105511 (2024)
• 
  Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera Caicedo, Gustau Camps-Valls:
  Multioutput Feature Selection for Emulation and Sensitivity Analysis. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024)
• 
  Wei Ding, Gustau Camps-Valls:
  Overview of ACM SIGKDD 2024 AI4Science4AI Special Day. KDD 2024: 6693-6694
• 
  Nathan Mankovich, Gustau Camps-Valls, Tolga Birdal:
  Fun with Flags: Robust Principal Directions via Flag Manifolds. CoRR abs/2401.04071 (2024)
• 
  Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls:
  Double machine learning for causal hybrid modeling - applications in the Earth sciences. CoRR abs/2402.13332 (2024)
• 
  Homer Durand, Gherardo Varando, Nathan Mankovich, Gustau Camps-Valls:
  Improving generalisation via anchor multivariate analysis. CoRR abs/2403.01865 (2024)
• 
  Shan Zhao, Ioannis Prapas, Ilektra Karasante, Zhitong Xiong, Ioannis Papoutsis, Gustau Camps-Valls, Xiao Xiang Zhu:
  Causal Graph Neural Networks for Wildfire Danger Prediction. CoRR abs/2403.08414 (2024)
• 
  Nathan Mankovich, Homer Durand, Emiliano Diaz, Gherardo Varando, Gustau Camps-Valls:
  Recovering Latent Confounders from High-dimensional Proxy Variables. CoRR abs/2403.14228 (2024)
• 
  Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu:
  Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities. CoRR abs/2403.15356 (2024)
• 
  Kai-Hendrik Cohrs, Gherardo Varando, Emiliano Diaz, Vasileios Sitokonstantinou, Gustau Camps-Valls:
  Large Language Models for Constrained-Based Causal Discovery. CoRR abs/2406.07378 (2024)
• 
  Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Angel Fernandez-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha:
  DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes. CoRR abs/2406.18179 (2024)
• 
  Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams:
  AI for Extreme Event Modeling and Understanding: Methodologies and Challenges. CoRR abs/2406.20080 (2024)
• 
  David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, Chaonan Ji, Teja Kattenborn, Laura Martínez-Ferrer, Francesco Martinuzzi, Martin Reinhardt, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha:
  Earth System Data Cubes: Avenues for advancing Earth system research. CoRR abs/2408.02348 (2024)
• 2023
• 
  Michele Ronco, Gustau Camps-Valls:
  Role of locality, fidelity and symmetry regularization in learning explainable representations. Neurocomputing 562: 126884 (2023)
• 
  Mehmet Furkan Celik, Mustafa Serkan Isik, Gülsen Taskin, Esra Erten, Gustau Camps-Valls:
  Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
• 
  Anna Mateo-Sanchis, José E. Adsuara, Maria Piles, Jordi Muñoz-Marí, Adrian Perez-Suay, Gustau Camps-Valls:
  Interpretable Long Short-Term Memory Networks for Crop Yield Estimation. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
• 
  Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls:
  Inference over radiative transfer models using variational and expectation maximization methods. Mach. Learn. 112(3): 921-937 (2023)
• 
  Emiliano Diaz, Gherardo Varando, Juan Emmanuel Johnson, Gustau Camps-Valls:
  Learning latent functions for causal discovery. Mach. Learn. Sci. Technol. 4(3): 35004 (2023)
• 
  Arndt Kaps, Axel Lauer, Gustau Camps-Valls, Pierre Gentine, Luis Gómez-Chova, Veronika Eyring:
  Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023)
• 
  Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Gustau Camps-Valls:
  Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023)
• 
  Gülsen Taskin, Emrullah Fatih Yetkin, Gustau Camps-Valls:
  A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023)
• 
  Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls:
  Fair Kernel Regression through Cross-Covariance Operators. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis:
  TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. ICCV (Workshops) 2023: 3756-3761
• 
  Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gustau Camps-Valls:
  Explainability of End and Mid-Season Cotton Yield Predictors In Conus. IGARSS 2023: 3538-3541
• 
  Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis:
  Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. NeurIPS 2023
• 
  Diego Bueso, Maria Piles, Gustau Camps-Valls, Álvaro Moreno-Martínez:
  Satellite soil and vegetation water content data capturing main terrestrial ecosystem changes. Zenodo, 2023 
• 
  Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann:
  Understanding cirrus clouds using explainable machine learning. Version 2.0. Zenodo, 2023 [all versions] 
• 
  Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann:
  Understanding cirrus clouds using explainable machine learning. Version 1.0. Zenodo, 2023 [all versions] 
• 
  Kai Jeggle, David Neubauer, Gustau Camps-Valls, Ulrike Lohmann:
  Understanding cirrus clouds using explainable machine learning. Multiple versions. Zenodo, 2023 [all versions] 

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