Jana Kemnitz

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Anomaly Detection

Optimization Approaches

Industrial Applications

Top Venues

Publications

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 (2023)
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)
Philipp Sepin, Jana Kemnitz, Safoura Rezapour Lakani, Daniel Schall
Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets. CoRR (2023)
Thomas Hiessl, Safoura Rezapour Lakani, Michael Ungersböck, Jana Kemnitz, Daniel Schall, Stefan Schulte
Lifecycle Management of Federated Learning Artifacts in Industrial Applications. ICFEC (2023)
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)
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 (2022)
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 (2022)
Clemens Heistracher, Stefan Stricker, Pedro Casas, Daniel Schall, Jana Kemnitz
Smart Active Sampling to enhance Quality Assurance Efficiency. CoRR (2022)
Clemens Heistracher, Anahid N. Jalali, Axel Suendermann, Sebastian Meixner, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz
Minimal-Configuration Anomaly Detection for IIoT Sensors. CoRR (2021)
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 (2021)
Jana Kemnitz, Thomas Bierweiler, Herbert Grieb, Stefan von Dosky, Daniel Schall
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence. CoRR (2021)
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)
Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte
Industrial Federated Learning - Requirements and System Design. PAAMS (Workshops) (2020)
Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte
Industrial Federated Learning - Requirements and System Design. CoRR (2020)
Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. CoRR (2018)
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)