Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals. - Carsten Riggelsen; Matthias Ohrnberger; Frank Scherbaum (PKDD, 2007)

Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields. - Andreas Köhler; Matthias Ohrnberger; Carsten Riggelsen; Frank Scherbaum (FSDM, 2008)

Bayesian Belief Network for Tsunami Warning Decision Support. - Lilian Blaser; Matthias Ohrnberger; Carsten Riggelsen; Frank Scherbaum (ECSQARU, 2009)

Unsupervised feature selection and general pattern discovery using Self-Organizing Maps for gaining insights into the nature of seismic wavefields. - Andreas Köhler; Matthias Ohrnberger; Frank Scherbaum (Comput. Geosci., 2009)

Graphical Models as Surrogates for Complex Ground Motion Models. - Kristin Vogel; Carsten Riggelsen; Nicolas Kuehn; Frank Scherbaum (ICAISC (2), 2012)

Autoencoding Ground Motion Data for Visualisation. - Nikolaos Gianniotis; Carsten Riggelsen; Nicolas Kühn; Frank Scherbaum (ICANN (2), 2012)

Manifold aligned ground motion prediction equations for regional datasets. - Nikolaos Gianniotis; Nicolas Kuehn; Frank Scherbaum (Comput. Geosci., 2014)

Rechnergestützte Musikethnologie am Beispiel historischer Aufnahmen mehrstimmiger georgischer Vokalmusik. - Frank Scherbaum; Meinard Müller; Sebastian Rosenzweig (GI-Jahrestagung, 2017)

Interactive Fundamental Frequency Estimation with Applications to Ethnomusicological Research. - Meinard Müller; Sebastian Rosenzweig; Jonathan Driedger; Frank Scherbaum (Semantic Audio, 2017)

Detecting Stable Regions in Frequency Trajectories for Tonal Analysis of Traditional Georgian Vocal Music. - Sebastian Rosenzweig; Frank Scherbaum; Meinard Müller (ISMIR, 2019)

Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing. - Sebastian Rosenzweig; Helena Cuesta; Christof Weiß; Frank Scherbaum; Emilia Gómez; Meinard Müller (Trans. Int. Soc. Music. Inf. Retr., 2020)

Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology. - Sebastian Rosenzweig; Frank Scherbaum; David Shugliashvili; Vlora Arifi-Müller; Meinard Müller (Trans. Int. Soc. Music. Inf. Retr., 2020)

Reliability Assessment of Singing Voice F0-Estimates Using Multiple Algorithms. - Sebastian Rosenzweig; Frank Scherbaum; Meinard Müller (ICASSP, 2021)

Computer-assisted Analysis of Field Recordings: A Case Study of Georgian Funeral Songs. - Sebastian Rosenzweig; Frank Scherbaum; Meinard Müller (ACM Journal on Computing and Cultural Heritage, 2023)

A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction. - Simon J. Schwär; Michael Krause 002; Michael Fast; Sebastian Rosenzweig; Frank Scherbaum; Meinard Müller (Trans. Int. Soc. Music. Inf. Retr., 2024)