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	1	Combining observational data and numerical models to obtain a seamless high-temporal-resolution seasonal cycle of snow and ice mass balance at the MOSAiC Central Observatory Enthalten in The Cryosphere Bd. 19, 2025, Nr. 10: 5111-5133. 23 S.
	2	Enhancing PM $$_2.5}$$ 2.5 Forecasting Models: Leveraging Spatio-temporal Data in Neural Networks Enthalten in Environmental modeling and assessment 8.3.2025: 1-30
	3	Clustering and classification of spatio-temporal data using spatial dynamic panel data models Enthalten in Advances in data analysis and classification 23.12.2024: 1-49
	4	Combining observational data and numerical models to obtain a seamless high temporal resolution seasonal cycle of snow and ice mass balance at the MOSAiC Central Observatory Enthalten in EGUsphere 05.12.2024: 1-36. 36 S.
	5	Neural Models for Generating Natural Language Summaries from Temporal Personal Health Data Enthalten in Journal of healthcare informatics research 16.1.2024: 1-30
	6	Advanced learning models for estimating the spatio-temporal variability of reference evapotranspiration using in-situ and ERA5-Land reanalysis data Enthalten in Modeling earth systems and environment 17.10.2023: 1-25
	7	In-stream <em>Escherichia Coli</em> Modeling Using high-temporal-resolution data with deep learning and process-based models Enthalten in Hydrology and earth system sciences discussions 08.04.2021: 1-55. 55 S.
	8	Inference for the Analysis of Ordinal Data with Spatio-Temporal Models Enthalten in The international journal of biostatistics Bd. 16, 2020, Nr. 2. 21 S.
	9	Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data Enthalten in Journal of agricultural, biological, and environmental statistics 28.3.2019: 1-29
	10	Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models Enthalten in Multimedia tools and applications 14.9.2018: 1-21

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