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Jana Kemnitz
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2020 – today
- 2023
- [c6]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 - [c5]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 - [c4]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
- [j1]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
- [c3]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
- [c2]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)
2010 – 2019
- 2018
- [c1]Jana Kemnitz
, Christian F. Baumgartner
, Wolfgang Wirth
, Felix Eckstein, Sebastian K. Eder
, Ender Konukoglu:
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. MLMI@MICCAI 2018: 276-284 - [i1]Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu:
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. CoRR abs/1807.08935 (2018)
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