31 citations · 83 across the 8 of their papers we have counts for
Showing 2020Show all
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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★ 3 cited
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…