Daniel Schall 0001

◀ ▶ joint publications with Clemens Heistracher

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Publications

2023
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Jana Kemnitz, Axel Weissenfeld, Leopold Schoeffl, Andreas Stiftinger, Daniel Rechberger, Bernhard Prangl, Thomas Kaufmann, Thomas Hiessl, Stephanie Holly, Clemens Heistracher, Daniel Schall:
An Edge Deployment Framework to Scale AI in Industrial Applications. ICFEC 2023: 24-32
[c59]
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Clemens Heistracher, Pedro Casas, Stefan Stricker, Axel Weißenfeld, Daniel Schall, Jana Kemnitz:
Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling. IECON 2023: 1-6
[i9]
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  - journals/corr/abs-2304-11101
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Viktorija Pruckovskaja, Axel Weissenfeld, Clemens Heistracher, Anita Graser, Julia Kafka, Peter Leputsch, Daniel Schall, Jana Kemnitz:
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications. CoRR abs/2304.11101 (2023)
2022
[i7]
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  - journals/corr/abs-2209-11464
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Clemens Heistracher, Stefan Stricker, Pedro Casas, Daniel Schall, Jana Kemnitz:
Smart Active Sampling to enhance Quality Assurance Efficiency. CoRR abs/2209.11464 (2022)
2021
[c57]
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  - conf/iecon/HeistracherJSSM21
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Clemens Heistracher, Anahid N. Jalali, Indu Strobl, Axel Suendermann, Sebastian Meixner, Stephanie Holly, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz:
Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data. IECON 2021: 1-6
[i4]
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  - journals/corr/abs-2110-04049
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Clemens Heistracher, Anahid N. Jalali, Axel Suendermann, Sebastian Meixner, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz:
Minimal-Configuration Anomaly Detection for IIoT Sensors. CoRR abs/2110.04049 (2021)

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