Anna-Christina Glock MSc
Publikationen
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2026
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Dynamic Time Warping for Classifying Long-Term Trends in Time Series
Glock, A.-C., Chmelina, K., Fürnkranz, J., & Hütter, T. (2026). Dynamic time warping for classifying long-term trends in time series. Data & Knowledge Engineering, 161, 102495.
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2025
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Detecting and Cleaning Errors in Personal Contact Information with Large Language Models
Glock, A. C., Dominka-Kiss, C., Korom, P., & Ehrlinger, L. Detecting and Cleaning Errors in Personal Contact Information with Large Language Models. Proceedings of the VLDB Endowment. ISSN, 2150, 8097.
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2024
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Database and Expert Systems Applications - DEXA 2024 Workshops
Database and Expert Systems Applications - DEXA 2024 Workshops. (2024). In B. Moser, L. Fischer, A. Mashkoor, J. Sametinger, A.-C. Glock, M. Mayr, & S. Luftensteiner (Eds.), Communications in Computer and Information Science. Springer Nature Switzerland.
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Dynamic Time Warping for Phase Recognition in Tribological Sensor Data
Glock, A.-C., & Fürnkranz, J.. (2024). Dynamic Time Warping for Phase Recognition in Tribological Sensor Data. In Lecture Notes in Computer Science (pp. 245–250). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-68323-7_20
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Predictive change point detection for heterogeneous data
Glock, A.-C., Sobieczky, F., Fürnkranz, J., Filzmoser, P., & Jech, M. (2024). Predictive change point detection for heterogeneous data. Neural Computing and Applications.
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2022
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An untold tale of scientific collaboration: SCCH and AC2T
Kargaran, S., Glock, A.-C., Freudenthaler, B., Freudenberger, M., & Jech, M. (2022). An Untold Tale of Scientific Collaboration: SCCH and AC$$^2$$T. Database and Expert Systems Applications - DEXA 2022 Workshops, 119–128.
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2021
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Explaining a random forest with the difference of two Arima models in an industrial fault detection scenario
Glock, A.-C. (2021). Explaining a Random Forest With the Difference of Two ARIMA Models in an Industrial Fault Detection Scenario. Procedia Computer Science, 180, 476–481.
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2020
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Detection in changes in wear-behaviour in data from continuous wear analysis
Glock, A. C. (2020) Detection in changes in wear-behaviour in data from continuous wear analysis. Master thesis, FH OÖ, Fachhochschul-Masterstudiengang Data Science and Engineering, June 2020.
Zur Publikation -
2019
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Detection of anomalous events in the wear-behaviour of continuously recorded sliding friction pairs
Glock, A.-C., Sobieczky, F., & Jech, M. (2019). Detection of anomalous events in the wear-behaviour of continuously recorded sliding friction pairs. Symposium 2019 Tribologie in Industrie und Forschung, pages 33-40, ÖTG, November 2019.