Gabriel Stechschulte

According to our database, Gabriel Stechschulte authored at least 3 papers between 2021 and 2024.

Collaborative distances:

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

2024

In-Database Feature Extraction to Improve Early Detection of Problematic Online Gambling Behavior.

Gabriel Stechschulte, Malte Wintner, Matthias L. Hemmje, Jürg Schwarz, Suzanne Lischer, Michael Kaufmann

IEEE Trans. Comput. Soc. Syst., October, 2024

2021

Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python.

Michael Kaufmann, Gabriel Stechschulte, Anna Huber

CoRR, 2021

Implementing Efficient and Scalable In-Database Linear Regression in SQL.

Patrick Giesser, Gabriel Stechschulte, Anna da Costa Vaz, Michael Kaufmann

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021