All Stories

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

    Article • Frontiers in Digital Health, August 2022, Frontiers

    Bjarne Pfitzner

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

    Article • Sensors, July 2022, MDPI AG

    Bjarne Pfitzner

  3. Implicit model specialization through dag-based decentralized federated learning

    Article • December 2021, ACM (Association for Computing Machinery)

    Bjarne Pfitzner

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

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Bjarne Pfitzner

  5. Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning

    Article • November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Bjarne Pfitzner

  6. Differentially Private Federated Learningfor Anomaly Detection in eHealth Networks

    Article • September 2021, ACM (Association for Computing Machinery)

    Bjarne Pfitzner, Ana Cholakoska, Hristijan Gjoreski

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

    Article • August 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Bjarne Pfitzner

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

    Article • ACM Transactions on Internet Technology, June 2021, ACM (Association for Computing Machinery)

    Bjarne Pfitzner

  9. Tangle Ledger for Decentralized Learning

    Article • May 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Bjarne Pfitzner