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ORCIDDaniel Schall 0001
- > Home > Persons > Daniel Schall 0001
Publications
- 2023
[c61]Thomas Hiessl, Safoura Rezapour Lakani, Michael Ungersböck, Jana Kemnitz, Daniel Schall, Stefan Schulte:
Lifecycle Management of Federated Learning Artifacts in Industrial Applications. ICFEC 2023: 7-15- [c60]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]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]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) - [i8]Philipp Sepin, Jana Kemnitz, Safoura Rezapour Lakani, Daniel Schall:
Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets. CoRR abs/2305.06753 (2023) - 2022
- [j24]Thomas Hiessl, Safoura Rezapour Lakani, Jana Kemnitz, Daniel Schall, Stefan Schulte:
Cohort-based federated learning services for industrial collaboration on the edge. J. Parallel Distributed Comput. 167: 64-76 (2022) - [i7]Clemens Heistracher, Stefan Stricker, Pedro Casas, Daniel Schall, Jana Kemnitz:
Smart Active Sampling to enhance Quality Assurance Efficiency. CoRR abs/2209.11464 (2022) - [i6]Stephanie Holly, Robin Heel, Denis Katic, Leopold Schoeffl, Andreas Stiftinger, Peter Holzner, Thomas Kaufmann, Bernhard Haslhofer, Daniel Schall, Clemens Heitzinger, Jana Kemnitz:
Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems. CoRR abs/2210.08011 (2022) - 2021
- [c57]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 - [i5]Jana Kemnitz, Thomas Bierweiler, Herbert Grieb, Stefan von Dosky, Daniel Schall:
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence. CoRR abs/2110.03440 (2021) - [i4]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) - [i3]Stephanie Holly, Thomas Hiessl, Safoura Rezapour Lakani, Daniel Schall, Clemens Heitzinger, Jana Kemnitz:
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System. CoRR abs/2110.08202 (2021) - 2020
- [c56]Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte:
Industrial Federated Learning - Requirements and System Design. PAAMS (Workshops) 2020: 42-53 - [i2]Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte:
Industrial Federated Learning - Requirements and System Design. CoRR abs/2005.06850 (2020)
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