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J. Garcke

26 papers hereh-index 274.1k citations102 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author16

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.LG5
  • cs.AI2
  • cs.RO2
  • eess.SY2
  • math.NA2
same name
  • J. Garcke — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedExplainable Machine Learning for Scientific Insights and Discoveries

1k citations · 2k across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes

Sara Hahner, Jochen Garcke

The analysis of deforming 3D surface meshes is accelerated by autoencoders since the low-dimensional embeddings can be used to visualize underlying dynamics. But, state-of-the-art…

eess.SP2021★ 1 cited

Multi-resolution Dynamic Mode Decomposition for Damage Detection in Wind Turbine Gearboxes

Paolo Climaco, Jochen Garcke, Rodrigo Iza-Teran

We introduce an approach for damage detection in gearboxes based on the analysis of sensor data with the multi-resolution dynamic mode decomposition (mrDMD). The application focus…

cs.CV2021★ 70 cited

Wavelet-Packets for Deepfake Image Analysis and Detection

Moritz Wolter, Felix Blanke, Raoul Heese +1

As neural networks become able to generate realistic artificial images, they have the potential to improve movies, music, video games and make the internet an even more creative an…

cs.RO2021★ 3 cited

Foresight Social-aware Reinforcement Learning for Robot Navigation

Yanying Zhou, Shijie Li, Jochen Garcke

When robots handle navigation tasks while avoiding collisions, they perform in crowded and complex environments not as good as in stable and homogeneous environments. This often re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.