Search Results for author: Jan Schuetzke

Found 1 papers, 1 papers with code

A universal synthetic dataset for machine learning on spectroscopic data

1 code implementation13 Jun 2022 Jan Schuetzke, Nathan J. Szymanski, Markus Reischl

To assist in the development of machine learning methods for automated classification of spectroscopic data, we have generated a universal synthetic dataset that can be used for model validation.

BIG-bench Machine Learning Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.