Bjarne Pfitzner

According to our database, Bjarne Pfitzner authored at least 16 papers between 2019 and 2023.

Collaborative distances:

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

2023

Federated Learning for Network Intrusion Detection in Ambient Assisted Living Environments.

Ana Cholakoska, Hristijan Gjoreski, Valentin Rakovic, Daniel Denkovski, Marija Kalendar, Bjarne Pfitzner, Bert Arnrich

IEEE Internet Comput., 2023

Federated Learning for Activity Recognition: A System Level Perspective.

Stefan Kalabakov, Borche Jovanovski, Daniel Denkovski, Valentin Rakovic, Bjarne Pfitzner, Orhan Konak, Bert Arnrich, Hristijan Gjoreski

IEEE Access, 2023

2022

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data.

Joceline Ziegler, Bjarne Pfitzner, Heinrich Schulz, Axel Saalbach, Bert Arnrich

Sensors, 2022

Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review.

Jonas Chromik, Sophie Anne Ines Klopfenstein, Bjarne Pfitzner, Zeena-Carola Sinno, Bert Arnrich, Felix Balzer, Akira-Sebastian Poncette

Frontiers Digit. Health, 2022

DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder.

Bjarne Pfitzner, Bert Arnrich

CoRR, 2022

Predictive Alarm Prevention by Forecasting Threshold Alarms at the Intensive Care Unit.

Jonas Chromik, Bjarne Pfitzner, Nina Ihde, Marius Michaelis, Denise Schmidt, Sophie Anne Ines Klopfenstein, Akira-Sebastian Poncette, Felix Balzer, Bert Arnrich

Proceedings of the Biomedical Engineering Systems and Technologies, 2022

Extracting Alarm Events from the MIMIC-III Clinical Database.

Jonas Chromik, Bjarne Pfitzner, Nina Ihde, Marius Michaelis, Denise Schmidt, Sophie Anne Ines Klopfenstein, Akira-Sebastian Poncette, Felix Balzer, Bert Arnrich

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Forecasting Thresholds Alarms in Medical Patient Monitors using Time Series Models.

Jonas Chromik, Bjarne Pfitzner, Nina Ihde, Marius Michaelis, Denise Schmidt, Sophie Anne Ines Klopfenstein, Akira-Sebastian Poncette, Felix Balzer, Bert Arnrich

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Federated Learning in a Medical Context: A Systematic Literature Review.

Bjarne Pfitzner, Nico Steckhan, Bert Arnrich

ACM Trans. Internet Techn., 2021

Implicit model specialization through dag-based decentralized federated learning.

Jossekin Beilharz, Bjarne Pfitzner, Robert Schmid, Paul Geppert, Bert Arnrich, Andreas Polze

Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021

Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated Learning.

Kristina Kirsten, Bjarne Pfitzner, Lando Löper, Bert Arnrich

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Differentially Private Federated Learningfor Anomaly Detection in eHealth Networks.

Ana Cholakoska, Bjarne Pfitzner, Hristijan Gjoreski, Valentin Rakovic, Bert Arnrich, Marija Kalendar

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning.

Bjarne Pfitzner, Jonas Chromik, Rachel Brabender, Eric Fischer, Alexander Kromer, Axel Winter, Simon Moosburner, Igor M. Sauer, Thomas Malinka, Johann Pratschke, Bert Arnrich, Max M. Maurer

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Data Augmentation of Kinematic Time-Series From Rehabilitation Exercises Using GANs.

Justin Amadeus Albert, Pawel Glöckner, Bjarne Pfitzner, Bert Arnrich

Proceedings of the 2021 IEEE International Conference on Omni-Layer Intelligent Systems, 2021

2020

Tangle Ledger for Decentralized Learning.

Robert Schmid, Bjarne Pfitzner, Jossekin Beilharz, Bert Arnrich, Andreas Polze

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

Poisoning Attacks with Generative Adversarial Nets.

Luis Muñoz-González, Bjarne Pfitzner, Matteo Russo, Javier Carnerero-Cano, Emil C. Lupu

CoRR, 2019