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Gustau Camps-Valls

Showing results (1-10 of 42) with videos related to

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Innovation (Cambridge (Mass.))|May 8, 2026
AI needs a new philosophy of scienceGustau Camps-Valls
National Science Review|August 22, 2022
Commentary on 'Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations' by Zhu <i>et al.</i>Gustau Camps-Valls
Plos One|February 13, 2016
Kernel Manifold Alignment for Domain AdaptationDevis Tuia, Gustau Camps-Valls
Scientific Reports|April 8, 2021
Predicting regional coastal sea level changes with machine learningVeronica Nieves, Cristina Radin, Gustau Camps-Valls
Physical Review. E|January 20, 2021
Explicit Granger causality in kernel Hilbert spacesDiego Bueso, Maria Piles, Gustau Camps-Valls
National Science Review|October 25, 2021
A perspective on Gaussian processes for Earth observationGustau Camps-Valls, Dino Sejdinovic, Jakob Runge, et al.
Iscience|January 15, 2026
GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainabilityYongze Song, Filip Biljecki, Gustau Camps-Valls, et al.
International Journal of Neural Systems|August 29, 2014
Principal polynomial analysisValero Laparra, Sandra Jiménez, Devis Tuia, et al.
Scientific Reports|February 1, 2022
Inferring causal relations from observational long-term carbon and water fluxes recordsEmiliano Díaz, Jose E Adsuara, Álvaro Moreno Martínez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 11, 2024
Estimating Information Theoretic Measures via Multidimensional GaussianizationValero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, et al.
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Innovation (Cambridge (Mass.))|May 8, 2026
AI needs a new philosophy of scienceGustau Camps-Valls
National Science Review|August 22, 2022
Commentary on 'Physics-informed deep learning parameterization of ocean vertical mixing improves climate simulations' by Zhu <i>et al.</i>Gustau Camps-Valls
Plos One|February 13, 2016
Kernel Manifold Alignment for Domain AdaptationDevis Tuia, Gustau Camps-Valls
Scientific Reports|April 8, 2021
Predicting regional coastal sea level changes with machine learningVeronica Nieves, Cristina Radin, Gustau Camps-Valls
Physical Review. E|January 20, 2021
Explicit Granger causality in kernel Hilbert spacesDiego Bueso, Maria Piles, Gustau Camps-Valls
National Science Review|October 25, 2021
A perspective on Gaussian processes for Earth observationGustau Camps-Valls, Dino Sejdinovic, Jakob Runge, et al.
Iscience|January 15, 2026
GeoAI: Beyond mapping earth and cities through explainability, adaptability, and sustainabilityYongze Song, Filip Biljecki, Gustau Camps-Valls, et al.
International Journal of Neural Systems|August 29, 2014
Principal polynomial analysisValero Laparra, Sandra Jiménez, Devis Tuia, et al.
Scientific Reports|February 1, 2022
Inferring causal relations from observational long-term carbon and water fluxes recordsEmiliano Díaz, Jose E Adsuara, Álvaro Moreno Martínez, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 11, 2024
Estimating Information Theoretic Measures via Multidimensional GaussianizationValero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, et al.
Pageof 5