7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2025★ 7 cited
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
Josef Taher, Eric Hyyppä, Matti Hyyppä +46
Climate-smart and biodiversity-preserving forestry demands precise information on forest resources, extending to the individual tree level. Multispectral airborne laser scanning (A…
q-fin.ST2015★ 1 cited
Toward robust early-warning models: A horse race, ensembles and model uncertainty
Markus Holopainen, Peter Sarlin
This paper presents first steps toward robust models for crisis prediction. We conduct a horse race of conventional statistical methods and more recent machine learning methods as…