Search Results for author: Kathrin Seßler

Found 4 papers, 2 papers with code

Assessing Student Errors in Experimentation Using Artificial Intelligence and Large Language Models: A Comparative Study with Human Raters

no code implementations11 Aug 2023 Arne Bewersdorff, Kathrin Seßler, Armin Baur, Enkelejda Kasneci, Claudia Nerdel

The AI system can accurately identify many fundamental student errors, for instance, the AI system identifies when a student is focusing the hypothesis not on the dependent variable but solely on an expected observation (acc.

valid

Deep Neural Networks and Tabular Data: A Survey

2 code implementations5 Oct 2021 Vadim Borisov, Tobias Leemann, Kathrin Seßler, Johannes Haug, Martin Pawelczyk, Gjergji Kasneci

Moreover, we discuss deep learning approaches for generating tabular data, and we also provide an overview over strategies for explaining deep models on tabular data.

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