Jan Schuetzke

According to our database, Jan Schuetzke authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A review of adaptable conventional image processing pipelines and deep learning on limited datasets.

Friedrich R. Münke, Jan Schuetzke, Felix Berens, Markus Reischl

Mach. Vis. Appl., March, 2024

Accelerating Materials Discovery: Automated Identification of Prospects from X-Ray Diffraction Data in Fast Screening Experiments.

Jan Schuetzke, Simon Schweidler, Friedrich R. Münke, Andre Orth, Anurag D. Khandelwal, Ben Breitung, Jasmin Aghassi-Hagmann, Markus Reischl

Adv. Intell. Syst., March, 2024

Spectra-based Neural Networks for Uncovering Novel Substances in Material Discovery Experiments.

Jan Schuetzke

PhD thesis, 2024

2022

A universal synthetic dataset for machine learning on spectroscopic data.

Jan Schuetzke, Nathan J. Szymanski, Markus Reischl

CoRR, 2022