1 citations · 1 across the 3 of their papers we have counts for
4 papers
From Radar to Risk: Building a High-Resolution Hail Database for Austria And Estimating Risk Through the Integration of Distributional Neural Networks into the Metastatistical Framework
Gregor Ehrensperger, Vera Katharina Meyer, Marc-André Falkensteiner +1
This study makes significant contributions to the understanding of hail climatology in Austria. First, it introduces a comprehensive database of hailstone sizes, constructed from t…
Identifying Lightning Processes in ERA5 Soundings with Deep Learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr +1
Atmospheric environments favorable for lightning and convection are commonly represented by proxies or parameterizations based on expert knowledge such as CAPE, wind shears, charge…
Evaluating CNNs on the Gestalt Principle of Closure
Gregor Ehrensperger, Sebastian Stabinger, Antonio Rodríguez Sánchez
Deep convolutional neural networks (CNNs) are widely known for their outstanding performance in classification and regression tasks over high-dimensional data. This made them a pop…
Fast algorithms for morphological operations using run-length encoded binary images
Gregor Ehrensperger, Alexander Ostermann, Felix Schwitzer
This paper presents innovative algorithms to efficiently compute erosions and dilations of run-length encoded (RLE) binary images with arbitrary shaped structuring elements. An RLE…