2024W

• Data-oriented Programming Paradigms / 188.995 / VU
• Fundamentals of Information Retrieval / 188.977 / VU
• Introduction to Information Retrieval / 194.166 / VU

• Leveraging Cochrane Systematic Literature Reviews for Prospective Evaluation of Large Language Models / Kusa, W., Scells, H., Staudinger, M., & Hanbury, A. (2024, March 28). Leveraging Cochrane Systematic Literature Reviews for Prospective Evaluation of Large Language Models [Conference Presentation]. ALTARS 2024: 3rd Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems: Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/200670
• Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data / Staudinger, M., Hajszan, T., Miksa, T., Himmelbauer, I., Aberer, D., Rauber, A., & Dorigo, W. (2023). Reproducible Query Processing and Data Citation of in Situ Soil Moisture Data. In 2023 IEEE 19th International Conference on e-Science (pp. 1–10). IEEE. https://doi.org/10.1109/e-Science58273.2023.10254929
• Reproducible query processing in relational databases with evolving database schemas / Staudinger, M. (2023). Reproducible query processing in relational databases with evolving database schemas [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.101569
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• DBRepo: A Semantic Digital Repository for Relational Databases / Weise, M., Staudinger, M., Michlits, C., Gergely, E., Stytsenko, K., Ganguly, R., & Rauber, A. (2022). DBRepo: A Semantic Digital Repository for Relational Databases. International Journal of Digital Curation, 17(1). https://doi.org/10.2218/ijdc.v17i1.825
• FDA-DBRepo: A Data Preservation Repository Supporting FAIR Principles, Data Versioning and Reproducible Queries / Weise, M., Michlits, C., Staudinger, M., Gergely, E., Stytsenko, K., Ganguly, R., & Rauber, A. (2021). FDA-DBRepo: A Data Preservation Repository Supporting FAIR Principles, Data Versioning and Reproducible Queries. In Proceedings of the 17th International Conference on Digital Preservation (p. 34). https://doi.org/10.17605/OSF.IO/B7NX5

• Automated Quality Indicators for Machine-actionable Data Management Plans / Arnhold, L. (2024). Automated Quality Indicators for Machine-actionable Data Management Plans [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.117145
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