DI Johannes Himmelbauer
Research Team Lead Sustainable Process Cognition
Publikationen
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2024
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Identification of similarities and clusters of bread baking recipes based on data of ingredients
Anlauf, S., Dorl, S., Hirz, T., Lasslberger, M., Grassmann, R., Himmelbauer, J., & Winkler, S. (2024). Identification of similarities and clusters of bread baking recipes based on data of ingredients. International Journal of Food Engineering, 0(0).
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2023
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Opening the black-box of Neighbor Embeddings with Hotelling’s T2 statistic and Q-residuals
Rainer, R. J., Mayr, M., Himmelbauer, J., & Nikzad-Langerodi, R. (2023). Opening the black-box of Neighbor Embeddings with Hotelling’s T2 statistic and Q-residuals. In Chemometrics and Intelligent Laboratory Systems (Vol. 238, p. 104840). Elsevier BV.
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2022
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Identification of Similarities and Clusters of Bread Baking Recipes Based on Data of Ingredients
Anlau, S., Lasslberger, M., Grassmann, R., Himmelbauer, J., & Winkler, S. (2022). Identification of Similarities and Clusters of Bread Baking Recipes Based on Data of Ingredients. Proceedings of the 8th International Food Operations and Processing Simulation Workshop (FoodOPS 2022).
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From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry
Himmelbauer, J., Mayr, M., & Luftensteiner, S. (2022). From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry. Database and Expert Systems Applications - DEXA 2022 Workshops, 79–89.
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Using Property Graphs to Segment Time-Series Data
Karetnikov, A., Rehberger, T., Lettner, C., Himmelbauer, J., Nikzad-Langerodi, R., Gsellmann, G., Nestelberger, S., & Schützeneder, S. (2022). Using Property Graphs to Segment Time-Series Data. Database and Expert Systems Applications - DEXA 2022 Workshops, 416–423.
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2021
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Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools
Mainali, K., Ehrlinger, L., Himmelbauer, J., & Matskin, M. (2021) Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools. DATA ANALYTICS 2021 : The Tenth International Conference on Data Analytics, International Academy, Research, and Industry Association, pp. 61--69, 10-2021, ISBN: 978-1-61208-891-4.
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Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications
Heinzl, B., Martinez-Gil, J., Himmelbauer, J., Rosbory, M., Hinterdorfer, C., & Hinterreiter, C. (2021). Indirect Mass Flow Estimation based on Power Measurements of Conveyor Belts in Mineral Processing Applications. 2021 IEEE 19th International Conference on Industrial Informatics (INDIN).
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2020
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Detecting anomalies in production quality data using a method based on The Chi-Square Test Statistic
Mayr, M., & Himmelbauer, J. (2020). Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic. Lecture Notes in Computer Science, 348–363.
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Tackling semantic shift in industrial streaming data over time
Ehrlinger, L., Lettner, C., & Himmelbauer, J. (2020) Tackling semantic shift in industrial streaming data over time Proceedings of the 12th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA 2020), pages 36-39, IARIA, October 2020.
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2019
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Towards a data-driven approach for fraud detection in the social insurance field: A case study in Upper Austria
Himmelbauer, J., Martinez-Gil, J., Ksen, M., Linner, K., & Plakolm, S. (2019). Towards a Data-Driven Approach for Fraud Detection in the Social Insurance Field: A Case Study in Upper Austria. Lecture Notes in Computer Science, 70–84.