Meiert W. Grootes

According to our database, Meiert W. Grootes authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

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

2020

Laserchicken - A tool for distributed feature calculation from massive LiDAR point cloud datasets.

Christiaan Meijer, Meiert W. Grootes, Zsófia Koma, Yifat Dzigan, R. Gonçalves, B. Andela, G. van den Oord, Elena Ranguelova, Nicolas Renaud, W. Daniel Kissling

SoftwareX, 2020