Journal Impact Factor and Peer Review Thoroughness and Helpfulness: A Supervised Machine Learning Study

no code implementations • 20 Jul 2022 • Anna Severin, Michaela Strinzel, Matthias Egger, Tiago Barros, Alexander Sokolov, Julia Vilstrup Mouatt, Stefan Müller

For thoroughness, sentences on 'Materials and Methods' were more common in the highest JIF journals than in the lowest JIF group (difference of 7. 8 percentage points; 95% CI 4. 9 to 10. 7%).

What makes a reaction network "chemical"?

no code implementations • 5 Jan 2022 • Stefan Müller, Christoph Flamm, Peter F. Stadler

In particular, these realizations can be chosen such that any two species have distinct sum formulas, unless $\mathbf{S}$ implies that they are "obligatory isomers".

Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD)

no code implementations • 15 Jun 2020 • Lukas Stappen, Xinchen Du, Vincent Karas, Stefan Müller, Björn W. Schuller

Systems for the automatic recognition and detection of automotive parts are crucial in several emerging research areas in the development of intelligent vehicles.

Benchmarking Domain Adaptation +1