Francesco Nattino

According to our database, Francesco Nattino authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable few-shot learning workflow for detecting invasive and exotic tree species.

Caroline M. Gevaert, Alexandra Aguiar Pedro, Ou Ku, Hao Cheng, Pranav Chandramouli, Farzaneh Dadrass Javan, Francesco Nattino, Sonja Georgievska

CoRR, 2024

Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution.

Francesco Nattino, Emma Izquierdo-Verdiguier, Pranav Chandramouli, Meiert W. Grootes, Ou Ku, Fakhereh Alidoost, Raúl Zurita-Milla

Proceedings of the IGARSS 2024, 2024

SARXarray and STMtools: Open-Source Python Libraries for InSAR Data Processing and Analysis.

Ou Ku, Fakhereh Alidoost, Pranav Chandramouli, Thijs van Lankveld, Francesco Nattino, Meiert W. Grootes, Freek J. van Leijen, Ramon F. Hanssen

Proceedings of the IGARSS 2024, 2024

2022

CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes.

Francesco Nattino, Ou Ku, Meiert W. Grootes, Emma Izquierdo-Verdiguier, Serkan Girgin, Raúl Zurita-Milla

J. Open Source Softw., 2022

swyft: Truncated Marginal Neural Ratio Estimation in Python.

Benjamin Kurt Miller, Alex Cole, Christoph Weniger, Francesco Nattino, Ou Ku, Meiert W. Grootes

J. Open Source Softw., 2022

Laserfarm - A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds.

W. Daniel Kissling, Yifang Shi, Zsófia Koma, Christiaan Meijer, Ou Ku, Francesco Nattino, Arie C. Seijmonsbergen, Meiert W. Grootes

Ecol. Informatics, 2022

2021

Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation.

Alex Cole, Benjamin Kurt Miller, Samuel J. Witte, Maxwell X. Cai, Meiert W. Grootes, Francesco Nattino, Christoph Weniger

CoRR, 2021