Optimizing Measures Of Melodic Similarity For The Exploration Of A Large Folk Song Database. - Daniel Müllensiefen; Klaus Frieler (ISMIR, 2004)

Modeling Memory for Melodies. - Daniel Müllensiefen; Christian Hennig (GfKl, 2005)

Evaluating Different Approaches to Measuring the Similarity of Melodies. - Daniel Müllensiefen; Klaus Frieler (Data Science and Classification, 2006)

Methodological Considerations in Studies of Musical Similarity. - Hamish Allan; Daniel Müllensiefen; Geraint A. Wiggins (ISMIR, 2007)

Evaluating a Chord-Labelling Algorithm. - Daniel Müllensiefen; David Lewis 001; Christophe Rhodes; Geraint A. Wiggins (ISMIR, 2007)

Classification in music research. - Claus Weihs; Uwe Ligges; Fabian Mörchen; Daniel Müllensiefen (Adv. Data Anal. Classif., 2007)

A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. - Marcus T. Pearce; Daniel Müllensiefen; Geraint A. Wiggins (ISMIR, 2008)

Case Study "Beatles Songs" - What can be Learned from Unreliable Music Alignments? - Sebastian Ewert; Meinard Müller; Daniel Müllensiefen; Michael Clausen; Geraint A. Wiggins (Knowledge Representation for Intelligent Music Processing, 2009)

Melodic Grouping in Music Information Retrieval: New Methods and Applications. - Marcus T. Pearce; Daniel Müllensiefen; Geraint A. Wiggins (Advances in Music Information Retrieval, 2010)

Perceptual Dimensions of Short Audio Clips and Corresponding Timbre Features. - Jason Jiri Musil; Budr Elnusairi; Daniel Müllensiefen (CMMR, 2012)

Towards Cross-Version Harmonic Analysis of Music. - Sebastian Ewert; Meinard Müller; Verena Konz; Daniel Müllensiefen; Geraint A. Wiggins (IEEE Trans. Multim., 2012)

Recognition of Leitmotives in Richard Wagner's Music: An Item Response Theory Approach. - Daniel Müllensiefen; David J. Baker; Christophe Rhodes; Tim Crawford; Laurence Dreyfus (ECDA, 2014)

Corpus Analysis Tools for Computational Hook Discovery. - Jan Van Balen; John Ashley Burgoyne; Dimitrios Bountouridis; Daniel Müllensiefen; Remco C. Veltkamp (ISMIR, 2015)

Instrumental Idiom in the 16th Century: Embellishment Patterns in Arrangements of Vocal Music. - David Lewis 003; Tim Crawford; Daniel Müllensiefen (ISMIR, 2016)

Information-Theoretic Measures Predict the Human Judgment of Rhythm Complexity. - Remi de Fleurian; Tim Blackwell; Oded Ben-Tal; Daniel Müllensiefen (Cogn. Sci., 2017)

Metacognitive ability correlates with hippocampal and prefrontal microstructure. - Micah Allen; James C. Glen; Daniel Müllensiefen; Dietrich Samuel Schwarzkopf; Francesca Fardo; Darya Frank; Martina F. Callaghan; Geraint Rees 001 (NeuroImage, 2017)

Perceptual vs. automated judgements of music copyright infringement. - Yuchen Yuan; Sho Oishi; Charles Cronin; Daniel Müllensiefen; Quentin D. Atkinson; Shinya Fujii; Patrick E. Savage (ISMIR, 2020)

Human music perception ability is not a sexually dimorphic trait. - Mila Bertolo; Daniel Müllensiefen; Isabelle Peretz; Sarah C. Woolley; Jon T. Sakata; Samuel Mehr (CogSci, 2023)

Perceptual and automated estimates of infringement in 40 music copyright cases. - Yuchen Yuan; Charles Cronin; Daniel Müllensiefen; Shinya Fujii; Patrick E. Savage (Trans. Int. Soc. Music. Inf. Retr., 2023)