Rainer Röhrig

The paper evaluates supervised spike sorting for noisy single-electrode recordings from human C-nociceptors, finding raw signal features outperform complex methods and recommending tailored approaches.

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.