28 citations · 28 across the 1 of their papers we have counts for
2 papers
cs.LG2020★ 28 cited
Using Machine Learning to predict extreme events in the Hénon map
Martin Lellep, Jonathan Prexl, Moritz Linkmann +1
Machine Learning (ML) inspired algorithms provide a flexible set of tools for analyzing and forecasting chaotic dynamical systems. We here analyze the performance of one algorithm…
cs.CV2020
Weakly Supervised Semantic Segmentation of Satellite Images for Land Cover Mapping -- Challenges and Opportunities
Michael Schmitt, Jonathan Prexl, Patrick Ebel +2
Fully automatic large-scale land cover mapping belongs to the core challenges addressed by the remote sensing community. Usually, the basis of this task is formed by (supervised) m…