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Francesco Martinuzzi
Francesco Martinuzzi
PhD student, ScaDS.AI/Leipzig University
在 informatik.uni-leipzig.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
622023
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
202022
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
52023
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
52021
Data Cubes for Earth System Research: Challenges Ahead
DM Loaiza, G Kraemer, A Anghelea, CLA Camacho, G Brandt, ...
EarthArXiv, 2023
32023
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
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