Different patient case mix by applying the 2003 SCCM/ESICM/ACCP/ATS/SIS sepsis definitions instead of the 1992 ACCP/SCCM sepsis definitions in surgical patients: a retrospective observational study. - Manfred Weiss; Markus Huber-Lang; Michael Taenzer; Karl Traeger; Juergen Altherr; Martina Kron; Birgit Hay; Marion Schneider (BMC Medical Informatics Decis. Mak., 2009)

Analysis and Visualisation of Music. - Michael Taenzer; Burkhard C. Wünsche; Stefan Müller 002 (ICEIC, 2019)

Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings. - Michael Taenzer; Jakob Abeßer; Stylianos I. Mimilakis; Christof Weiss; Meinard Müller (ISMIR, 2019)

Analyzing the Potential of Pre-Trained Embeddings for Audio Classification Tasks. - Sascha Grollmisch; Estefanía Cano; Christian Kehling; Michael Taenzer (EUSIPCO, 2020)

Deep Learning-Based Music Instrument Recognition: Exploring Learned Feature Representations. - Michael Taenzer; Stylianos I. Mimilakis; Jakob Abeßer (CMMR, 2021)

Predominant Jazz Instrument Recognition: Empirical Studies on Neural Network Architectures. - Jakob Abeßer; Jaydeep Chauhan; Prateek Pradeep Pillai; Michael Taenzer; Stylianos I. Mimilakis (EUSIPCO, 2021)

DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. - David S. Johnson 003; Wolfgang Lorenz; Michael Taenzer; Stylianos I. Mimilakis; Sascha Grollmisch; Jakob Abeßer; Hanna M. Lukashevich (EUSIPCO, 2021)

Multi-pitch estimation with polyphony per instrument information for Western classical and electronic music. - Michael Taenzer (EURASIP J. Audio Speech Music. Process., 2025)