Lukas Gienapp — accepted AI-conference papers

2025

ml4xcube: Machine Learning Toolkits for Earth System Data Cubes

Julia Peters, Anja Neumann, Marco Jaeger, Lukas Gienapp, Josefine Umlauft

AAAI 2025technical

Rapidly changing climate conditions and the increase in extreme events are posing severe challenges to human life and infrastructure, requiring sophisticated analytical capabilities for hazard prediction and disaster risk management. Earth System Data Cubes (ESDCs) have become an essential tool in E…

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2023

Shared Tasks as Tutorials: A Methodical Approach

Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe +11

AAAI 2023technical

In this paper, we discuss the benefits and challenges of shared tasks as a teaching method. A shared task is a scientific event and a friendly competition to solve a research problem, the task. In terms of linking research and teaching, shared-task-based tutorials fulfill several faculty desires: th…

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