@misc{schiessler_from_feature_2024, 
author={Schiessler, E.},
title={From feature selection to neural architecture search: Development and implementation of AI-based algorithms to enhance AI-driven research},
year={2024},
howpublished = {doctoral thesis: TUHH},
abstract = {Effectively applying machine learning methods, particularly in applied sciences, can pose significant challenges. However, when employed correctly, these algorithms prove to be powerful tools, offering substantial benefits across a wide range of research applications. Fine-tuning them to individual needs and circumstances requires making a number of relevant and wellinformed choices, all of which can profoundly impact the quality of the outcome. In this thesis, I present a comprehensive overview over the machine learning process, along with two use-cases of successful machine learning application in practice.},
note = {Online available at: \url{} (DOI). Schiessler, E.: From feature selection to neural architecture search: Development and implementation of AI-based algorithms to enhance AI-driven research. TUHH, 2024.}}