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Oliver Theile

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Publications (4)

Dateien Cover Beschreibung Jahr
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing
Uhrich, B. ; Pfeifer, N. ; Schäfer, M. ; Theile, O. ; Rahm, E.
Applied Intelligence
2024 / 4
Transformation komplexer Produktentstehungsprozesse in wissensbasierte Services für die generative Fertigung
Schäfer, M. ; Theile, O. ; Uhrich, B. ; Bauer, M. ; Augenstein, C. ; Kimme, T. ; Ernst, D. ; Sonntag, F. ; Schöps, P. ; Ahnert, C.
Innovationen für datenbasierte Wertschöpfung - Mit internetbasierten Dienstleistungen die Zukunft der Wirtschaft gestalten
2023 / 6
Using Physics-Informed Machine Learning to Optimize 3D Printing Processes
Uhrich, B. ; Schäfer, M. ; Theile, O. ; Rahm, E.
Proceedings of the 2nd International Conference on Progress in Digital and Physical Manufacturing (ProDPM'21)
2023 / 6
Multi-Modal Artificial Intelligence in Additive Manufacturing
Bauer, M. ; Uhrich, B. ; Schäfer, M. ; Theile, O. ; Augenstein, C. ; Rahm, E.
Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS
2023 / 5

Recent publications

  • 2025 / 9: Generating Semantically Enriched Mobility Data from Travel Diaries
  • 2025 / 8: Slice it up: Unmasking User Identities in Smartwatch Health Data
  • 2025 / 6: SecUREmatch: Integrating Clerical Review in Privacy-Preserving Record Linkage
  • 2025 / 6: Leveraging foundation models and goal-dependent annotations for automated cell confluence assessment
  • 2025 / 5: Federated Learning With Individualized Privacy Through Client Sampling

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