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    Item type:Publication, Access status: with files ,
    From feature selection to neural architecture search : development and implementation of AI-based algorithms to enhance AI-driven research
    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 well-informed 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.
    Publicationtype: Doctoral Thesis
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