Wind-driven circulation in a shallow microtidal estuary: the Indian River Lagoon RJ Weaver, JE Johnson, M Ridler Journal of Coastal Research 32 (6), 1333-1343, 2016 | 24 | 2016 |
Estimation of oceanic particulate organic carbon with machine learning R Sauzède, JE Johnson, H Claustre, G Camps-Valls, AB Ruescas ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 19 | 2020 |
Accounting for input noise in Gaussian process parameter retrieval JE Johnson, V Laparra, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 17 (3), 391 - 395, 2019 | 16 | 2019 |
Kernel methods and their derivatives: Concept and perspectives for the earth system sciences JE Johnson, V Laparra, A Pérez-Suay, MD Mahecha, G Camps-Valls Plos one 15 (10), e0235885, 2020 | 15 | 2020 |
Information theory measures via multidimensional gaussianization V Laparra, JE Johnson, G Camps-Valls, R Santos-Rodríguez, J Malo arXiv preprint arXiv:2010.03807, 2020 | 12 | 2020 |
Information theory in density destructors JE Johnson, V Laparra, R Santos-Rodriguez, G Camps-Valls, J Malo arxiv, 2019 | 10 | 2019 |
Rotnet: Fast and scalable estimation of stellar rotation periods using convolutional neural networks JE Johnson, S Sundaresan, T Daylan, L Gavilan, DK Giles, SI Silva, ... arXiv preprint arXiv:2012.01985, 2020 | 8 | 2020 |
Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis JE Johnson, V Laparra, M Piles, G Camps-Valls IEEE Geoscience and Remote Sensing Magazine, 2021 | 7 | 2021 |
Schroedinger Eigenmaps for manifold alignment of multimodal hyperspectral images JE Johnson Rochester Institute of Technology, 2016 | 5 | 2016 |
Manifold alignment with Schroedinger eigenmaps JE Johnson, CM Bachmann, ND Cahill Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2016 | 4 | 2016 |
The Kernelized Taylor Diagram K Wickstrøm, JE Johnson, S Løkse, G Camps-Valls, KØ Mikalsen, ... Symposium of the Norwegian AI Society, 125-131, 2022 | 3 | 2022 |
Learning relevant features of optical water types K Blix, AB Ruescas, JE Johnson, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 3 | 2021 |
OCEANBENCH: The Sea Surface Height Edition JE Johnson, Q Febvre, A Gorbunova, S Metref, M Ballarotta, J Le Sommer, ... | 2 | 2023 |
Learning latent functions for causal discovery E Díaz, G Varando, JE Johnson, G Camps-Valls Machine Learning: Science and Technology 4 (3), 035004, 2023 | 2 | 2023 |
Orthonormal convolutions for the rotation based iterative gaussianization V Laparra, A Hepburn, JE Johnson, J Malo 2022 IEEE International Conference on Image Processing (ICIP), 4018-4022, 2022 | 2 | 2022 |
Disentangling derivatives, uncertainty and error in Gaussian process models JE Johnson, V Laparra, G Camps-Valls IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 2 | 2018 |
Estimating information in Earth data cubes JE Johnson, E Diaz, V Laparra, M Mahecha, D Miralles, G Camps-Valls EGU General Assembly Conference Abstracts, 12702, 2018 | 2 | 2018 |
Emulating present and future simulations of melt rates at the base of Antarctic ice shelves with neural networks C Burgard, NC Jourdain, P Mathiot, RS Smith, R Schäfer, J Caillet, ... Journal of Advances in Modeling Earth Systems 15 (12), e2023MS003829, 2023 | 1 | 2023 |
Neural fields for fast and scalable interpolation of geophysical ocean variables JE Johnson, R Lguensat, R Fablet, E Cosme, JL Sommer arXiv preprint arXiv:2211.10444, 2022 | 1 | 2022 |
Clouds aware flood extent segmentation for emergency response services G Mateo-Garcia, E Portales, F Liu, E Nemni, JE Johnson, L Kruitwagen, ... AGU Fall Meeting Abstracts 2021, NH44A-05, 2021 | 1 | 2021 |