Sledovat
Francesco Martinuzzi
Francesco Martinuzzi
PhD student, ScaDS.AI/Leipzig University
E-mailová adresa ověřena na: informatik.uni-leipzig.de - Domovská stránka
Název
Citace
Citace
Rok
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), 197, 2023
1082023
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
272022
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
16*2022
Earth system data cubes: Avenues for advancing earth system research
D Montero, G Kraemer, A Anghelea, C Aybar, G Brandt, G Camps-Valls, ...
Environmental Data Science 3, e27, 2024
9*2024
Learning extreme vegetation response to climate drivers with recurrent neural networks
F Martinuzzi, MD Mahecha, G Camps-Valls, D Montero, T Williams, ...
Nonlinear Processes in Geophysics 31 (4), 535-557, 2024
8*2024
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
72021
DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts
C Ji, T Fincke, V Benson, G Camps-Valls, MÁ Fernández-Torres, F Gans, ...
Scientific Data 12 (1), 149, 2025
3*2025
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
32024
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 40 (1 …, 2025
2025
DeepExtremeCubes
C Ji, T Fincke, V Benson, G Camps-Valls, MÁ Fernández-Torres, F Gans, ...
Universität Leipzig, 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
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
Estimating Gross Primary Production via Recurrent Neural Networks: A comparative analysis
D Montero, MD Mahecha, F Martinuzzi, C Aybar, A Klosterhalfen, A Knohl, ...
EGU General Assembly Conference Abstracts, 6773, 2024
2024
Impact Predictability: Exploring Extremes in Biosphere Dynamics with Recurrent Neural Networks
F Martinuzzi, MD Mahecha, G Camps-Valls, D Montero, T Williams, ...
EGU General Assembly Conference Abstracts, 9569, 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
Evaluating Forest Resilience in Europe with Deep Learning Persistence Analysis
T Williams, F Martinuzzi, G Camps-Valls, MD Mahecha
EGU General Assembly Conference Abstracts, 20805, 2024
2024
Learning Vegetation Response to Climate Drivers and Extremes with Recurrent Neural Networks
F Martinuzzi, MD Mahecha, G Camps-Valls, D Montero, T Williams, ...
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–17