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Generating What-If Scenarios for Time Series Data

, , and . Proceedings of the 29th International Conference on Scientific and Statistical Database Management, New York, NY, USA, Association for Computing Machinery, (2017)
DOI: 10.1145/3085504.3085507

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Martin Potthast

Zero-shot Generative Large Language Models for Systematic Review Screening Automation, , , , , and . Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), volume 14608 of Lecture Notes in Computer Science, page 403--420. Berlin Heidelberg New York, Springer, (March 2024)
Zero-shot Generative Large Language Models for Systematic Review Screening Automation, , , , , and . Advances in Information Retrieval. 46th European Conference on IR Research (ECIR 2024), volume 14608 of Lecture Notes in Computer Science, page 403--420. Berlin Heidelberg New York, Springer, (March 2024)Identifying queries in instant search logs, , , , and . Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, NY, USA, ACM, (July 2021)28. September - 2. Oktober 2020, , , , , , and . Gesellschaft für Informatik, Bonn, (2021)

Martin Lorenz

Visual Sampling Behavior Does not Explain Risk Perception: A Data-Driven xAI Investigation, , , , and . Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, New York, NY, USA, Association for Computing Machinery, (2025)
 

Other publications of authors with the same name

Efficient Approximate OLAP Querying Over Time Series, , , , and . page 205--211. (July 2016)Generating What-If Scenarios for Time Series Data, , and . Proceedings of the 29th International Conference on Scientific and Statistical Database Management, New York, NY, USA, Association for Computing Machinery, (2017)Large-scale time series analytics, , , and . Datenbank Spektrum, 19 (1): 17--29 (March 2019)Web-based Benchmarks for Forecasting Systems: The ECAST Platform, , , , and . page 2169--2172. (June 2016)Exploiting big data in time series forecasting: A cross-sectional approach, , , and . 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), page 1--10. (2015)Template-based Time Series Generation with Loom, , and . Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, Bordeaux, France, March 15, 2016, volume 1558 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Big by blocks: modular analytics:, , , , and . it - Information Technology, (January 2016)Modeling Large Time Series for Efficient Approximate Query Processing, , , , and . Database Systems for Advanced Applications, page 190--204. Cham, Springer International Publishing, (2015)