A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research D Montero, C Aybar, MD Mahecha, F Martinuzzi, M Söchting, S Wieneke Scientific Data 10 (1), 1-20, 2023 | 62 | 2023 |
Composing modeling and simulation with machine learning in Julia C Rackauckas, M Gwozdz, A Jain, Y Ma, F Martinuzzi, U Rajput, E Saba, ... 2022 Annual Modeling and Simulation Conference (ANNSIM), 1-17, 2022 | 20 | 2022 |
ReservoirComputing. jl: An efficient and modular library for reservoir computing models F Martinuzzi, C Rackauckas, A Abdelrehim, MD Mahecha, K Mora Journal of Machine Learning Research 23 (288), 1-8, 2022 | 12* | 2022 |
Learning extreme vegetation response to climate forcing: A comparison of recurrent neural network architectures F Martinuzzi, MD Mahecha, G Camps-Valls, D Montero, T Williams, ... EGUsphere 2023, 1-32, 2023 | 5 | 2023 |
Composable and reusable neural surrogates to predict system response of causal model components R Anantharaman, A Abdelrehim, F Martinuzzi, S Yalburgi, E Saba, ... AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2021 | 5 | 2021 |
Data Cubes for Earth System Research: Challenges Ahead DM Loaiza, G Kraemer, A Anghelea, CLA Camacho, G Brandt, ... EarthArXiv, 2023 | 3 | 2023 |
A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean networks TE Glover, R Jahren, F Martinuzzi, P Gonçalves Lind, S Nichele International Journal of Parallel, Emergent and Distributed Systems, 1-41, 2024 | | 2024 |
Earth System Data Cubes: Avenues for advancing Earth system research D Montero, G Kraemer, A Anghelea, C Aybar, G Brandt, G Camps-Valls, ... arXiv preprint arXiv:2408.02348, 2024 | | 2024 |
Recurrent Neural Networks for Modelling Gross Primary Production D Montero, MD Mahecha, F Martinuzzi, C Aybar, A Klosterhalfen, A Knohl, ... IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | | 2024 |
A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks T Eivind Glover, R Jahren, F Martinuzzi, P Gonçalves Lind, S Nichele arXiv e-prints, arXiv: 2407.18017, 2024 | | 2024 |
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges G Camps-Valls, MÁ Fernández-Torres, KH Cohrs, A Höhl, A Castelletti, ... arXiv preprint arXiv:2406.20080, 2024 | | 2024 |
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes C Ji, T Fincke, V Benson, G Camps-Valls, MA Fernandez-Torres, F Gans, ... arXiv preprint arXiv:2406.18179, 2024 | | 2024 |
SpectralIndices. jl: Streamlining spectral indices access and computation for Earth system research F Martinuzzi, MD Mahecha, D Montero, L Alonso, K Mora The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2024 | | 2024 |
DeepFeatures: Remote sensing beyond spectral indices M Reinhardt, K Mora, G Brandt, T Morbagal Harish, D Montero, C Ji, ... EGU General Assembly Conference Abstracts, 18852, 2024 | | 2024 |
Estimating Gross Primary Production via Recurrent Neural Networks: A comparative analysis D Montero, MD Mahecha, F Martinuzzi, C Aybar, A Klosterhalfen, A Knohl, ... EGU24, 2024 | | 2024 |
Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis T Williams, F Martinuzzi, G Camps-Valls, MD Mahecha EGU24, 2024 | | 2024 |
Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks F Martinuzzi, MD Mahecha, G Camps-Valls, D Montero, T Williams, ... EGU24, 2024 | | 2024 |