Publications

Erik Marx, Thiemo Leonhardt, und Nadine Bergner. Secondary school students' mental models and attitudes regarding artificial intelligence - A scoping review. Computers and education: artificial intelligence, (5)5:1--13, Elsevier Science B.V., Januar 2023. [PUMA: FIS_scads area_responsibleai yaff]

Erik Marx, und Nadine Bergner. Seminarkonzept zur fachlichen und fachdidaktischen Qualifizierung von Informatiklehramtsstudierenden zum Maschinellen Lernen. 10. Fachtagung Hochschuldidaktik Informatik (HDI) 2023, (10):65--74, Gesellschaft fur Informatik (GI), Deutschland, 2023. [PUMA: FIS_scads area_responsibleai imported yaff]

Erik Marx, Clemens Witt, und Thiemo Leonhardt. Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study. WiPSCE '24: Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research, 1--10, Association for Computing Machinery, 16.09.2024. [PUMA: FIS_scads area_responsibleai yaff]

Erik Marx, Thiemo Leonhardt, Nadine Bergner, und Clemens Witt. Exploring Students’ Preinstructional Mental Models of Machine Learning: Preliminary Findings. In Jean-Philippe Pellet, und Gabriel Parriaux (Hrsg.), 16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Local Proceedings, 233--236, Zenodo, 2023. [PUMA: FIS_scads area_responsibleai imported yaff]

Irem Aydin, Hermann Diebel-Fischer, Vincent Freiberger, Julia Möller-Klapperich, Erik Buchmann, Michael Färber, Anne Lauber-Rönsberg, und Birte Platow. Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges. 10.10.2024. [PUMA: FIS_scads area_responsibleai yaff]

Florian Knutzen, Paul Averbeck, Caterina Barrasso, Laurens M. Bouwer, Barry Gardiner, José M. Grünzweig, Sabine Hänel, Karsten Haustein, Marius Rohde Johannessen, Stefan Kollet, Joni-Pekka Pietikaeinen, Karolina Pietras-Couffignal, Joaquim G. Pinto, Diana Rechid, Efi Rousi, Ana Russo, Laura Suarez-Gutierrez, Julian Wendler, Elena Xoplaki, und Daniel Gliksman. Impacts and damages of the European multi-year drought and heat event 2018–2022 on forests, a review. 26.07.2023. [PUMA: FIS_scads imported topic_earthenvironment yaff]

Caterina Barrasso, Robert Krüger, Anette Eltner, und Anna F. Cord. Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning. Ecological indicators, (169)Elsevier Science B.V., Dezember 2024. [PUMA: FIS_scads imported topic_earthenvironment yaff xack]

Giampiero Gallo, Ostap Okhrin, und Giuseppe Storti. Dynamic tail risk forecasting: what do realized skewness and kurtosis add?. 20.09.2024. [PUMA: FIS_scads topic_engineering yaff]

Christian Genest, Ostap Okhrin, und Taras Bodnar. Copula modeling from Abe Sklar to the present day. Journal of Multivariate Analysis, (201)Academic Press Inc., Mai 2024. [PUMA: FIS_scads topic_engineering yaff]

Niklas Paulig, und Ostap Okhrin. An open-source framework for data-driven trajectory extraction from AIS data—The α-method. Ocean engineering, (312)Elsevier Science B.V., 15.11.2024. [PUMA: FIS_scads topic_engineering yaff]

Gong Chen, Hartmut Fricke, Ostap Okhrin, und Judith Rosenow. Flight delay propagation inference in air transport networks using the multilayer perceptron. Journal of air transport management, (114)Elsevier, Oxford u.a., Januar 2024. [PUMA: FIS_scads topic_engineering yaff]

Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, und David Kappel. Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models. 2024. [PUMA: FIS_scads imported topic_neuroinspired yaff]

Abhinav Singh, Philipp H. Suhrcke, Pietro Incardona, und Ivo F. Sbalzarini. A numerical solver for active hydrodynamics in three dimensions and its application to active turbulence. Physics of fluids, (35)10American Institute of Physics, 01.10.2023. [PUMA: FIS_scads imported topic_lifescience yaff xack]

Filippo De Bortoli, und Franz Baader. On the Abstract Expressive Power of Description Logics with Concrete Domains (Extended Version). LTCS-Report, Technische Universität Dresden, 2023. [PUMA: FIS_scads imported topic_knowledge yaff]

Niklas Paulig, und Ostap Okhrin. Robust path following on rivers using bootstrapped reinforcement learning. Ocean engineering, (298)Elsevier Science B.V., 15.04.2024. [PUMA: FIS_scads topic_engineering yaff]

Jing Zou, Martin Odening, und Ostap Okhrin. Plant growth stages and weather index insurance design. Annals of actuarial science, (17)3:438--458, Cambridge University Press, 03.11.2023. [PUMA: FIS_scads topic_engineering yaff]

Martin Waltz, und Ostap Okhrin. Addressing maximization bias in reinforcement learning with two-sample testing. Artificial intelligence, (336)Elsevier Science B.V., November 2024. [PUMA: FIS_scads topic_engineering yaff]

Jing Zou, Martin Odening, und Ostap Okhrin. Data-driven determination of plant growth stages for improved weather index insurance design. Agricultural Finance Review, Emerald Group Publishing, Bingley, 2024. [PUMA: FIS_scads topic_engineering yaff xack]

Fabian Hart, Ostap Okhrin, und Martin Treiber. Vessel-following model for inland waterways based on deep reinforcement learning. Ocean engineering, (281)Elsevier Science B.V., August 2023. [PUMA: FIS_scads imported topic_engineering yaff]

Martin Waltz, und Ostap Okhrin. Spatial–temporal recurrent reinforcement learning for autonomous ships. Neural Networks, (2023)165:634--653, Elsevier Science B.V., 15.06.2023. [PUMA: FIS_scads topic_engineering yaff]