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20152025
most citedFrom 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

1 citations · 1 across the 3 of their papers we have counts for

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Showing 2019 · cs.CVShow all

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cs.CV2019

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…