Marc Ferrigi (2023), Improving the Player Experience of Collaborative Multiplayer Games for Visually Impaired Children.
Robin Ungruh (2023), Mitigating Popularity Bias in Music Recommender Systems. Effects on Fair Exposure, User Perception, and Motivation for Exploration.
Ermis Chalkiadakis (2022), Developing and evaluating a Musical Attention Control Training computer game application.
Evangelos Potamianos (2022), Designing an inclusive multiplayer rhythm game for visually impaired and sighted children.
Amalia Musters (2022), Assessing Sensory Processing Deficits of Children with Autism Spectrum Disorder Using a Rhythmic Game: Quantifying Performance on Rhythm Tasks.
Diego Ligtenberg (2022), The Effect of Deep Learning-based Source Separation on Predominant Instrument Classification in Polyphonic Music.
Thomas Fink (2022), Sonification - Extending the Visual Arts experience.
Thomas Dallmeir (2022), Difference in User Types for User-Generated Playlist Creation on Music Streaming Platforms.
Evangelos Potamianos (2022), Designing an inclusive multiplayer rhythm game for visually impaired and sighted children.
Alysha Bogaers (2020), Music-Driven Generation of Expressive Musical Gestures.
Cas Laugs (2020), Creating a Speech- and Music Emotion Recognition System for Mixed Source Audio.
Stephan Wells (2019), Creating a Tool for Facilitating and Researching Human Annotation of Musical Patterns.
Arianne Nieuwenhuizen (2019): Music Thumbnailing by Hooks.
Eric Scerri (2019), An Approach for Automated Pattern Discovery in Symbolic Music with Long Short-Term Memory Neural Networks.
Daphne Odekerken (2018), Audio-Symbolic Alignment of Popular Music with Application to Automatic Chord Recognition.
Peter Boot (2015), Using discovered and annotated patterns for determining similarity between folk songs.
Jeroen Witteveen (2014), Predicting Relevance of Emotion Tags.Jan de Wit (2012): Multiple fundamental frequency estimation and instrument recognition using non-negative matrix factorization.
Justin de Nooijer (2007), Cognition-based Segmentation for Music Information Retrieval Systems.