Jana Kemnitz

According to our database, Jana Kemnitz authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets.

Philipp Sepin, Jana Kemnitz, Safoura Rezapour Lakani, Daniel Schall

CoRR, 2023

Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications.

Viktorija Pruckovskaja, Axel Weissenfeld, Clemens Heistracher, Anita Graser, Julia Kafka, Peter Leputsch, Daniel Schall, Jana Kemnitz

CoRR, 2023

Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling.

Clemens Heistracher, Pedro Casas, Stefan Stricker, Axel Weißenfeld, Daniel Schall, Jana Kemnitz

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

An Edge Deployment Framework to Scale AI in Industrial Applications.

Jana Kemnitz, Axel Weissenfeld, Leopold Schoeffl, Andreas Stiftinger, Daniel Rechberger, Bernhard Prangl, Thomas Kaufmann, Thomas Hiessl, Stephanie Holly, Clemens Heistracher, Daniel Schall

Proceedings of the 7th IEEE International Conference on Fog and Edge Computing, 2023

Lifecycle Management of Federated Learning Artifacts in Industrial Applications.

Thomas Hiessl, Safoura Rezapour Lakani, Michael Ungersböck, Jana Kemnitz, Daniel Schall, Stefan Schulte

Proceedings of the 7th IEEE International Conference on Fog and Edge Computing, 2023

2022

Cohort-based federated learning services for industrial collaboration on the edge.

Thomas Hiessl, Safoura Rezapour Lakani, Jana Kemnitz, Daniel Schall, Stefan Schulte

J. Parallel Distributed Comput., 2022

Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems.

Stephanie Holly, Robin Heel, Denis Katic, Leopold Schoeffl, Andreas Stiftinger, Peter Holzner, Thomas Kaufmann, Bernhard Haslhofer, Daniel Schall, Clemens Heitzinger, Jana Kemnitz

CoRR, 2022

Smart Active Sampling to enhance Quality Assurance Efficiency.

Clemens Heistracher, Stefan Stricker, Pedro Casas, Daniel Schall, Jana Kemnitz

CoRR, 2022

2021

Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System.

Stephanie Holly, Thomas Hiessl, Safoura Rezapour Lakani, Daniel Schall, Clemens Heitzinger, Jana Kemnitz

CoRR, 2021

Minimal-Configuration Anomaly Detection for IIoT Sensors.

Clemens Heistracher, Anahid N. Jalali, Axel Suendermann, Sebastian Meixner, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz

CoRR, 2021

Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence.

Jana Kemnitz, Thomas Bierweiler, Herbert Grieb, Stefan von Dosky, Daniel Schall

CoRR, 2021

Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data.

Clemens Heistracher, Anahid N. Jalali, Indu Strobl, Axel Suendermann, Sebastian Meixner, Stephanie Holly, Daniel Schall, Bernhard Haslhofer, Jana Kemnitz

Proceedings of the IECON 2021, 2021

2020

Industrial Federated Learning - Requirements and System Design.

Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte

Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020

2018

Combining Heterogeneously Labeled Datasets For Training Segmentation Networks.

Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018