2011
Human model evaluation in interactive supervised learning
202 citationsRead
About
Rebecca Fiebrink develops machine learning tools for musicians and artists, teaching a course on this topic. Her work explores how data‑driven techniques can support creative practice in music and sound. She engages with interactive and immersive displays to enhance human‑technology interaction in the arts.
Most cited
122 papers in total2016
Human-Centred Machine Learning
137 citationsRead
2017
Mixed-Initiative Creative Interfaces
115 citationsRead
2019 · ACM Transactions on Computing Education
Machine Learning Education for Artists, Musicians, and Other Creative Practitioners
93 citationsRead
2011
Real-time human interaction with supervised learning algorithms for music composition and performance
89 citations
2009 · University of the Arts London Research Online (University of the Arts London)
A Meta-Instrument For Interactive, On-The-Fly Machine Learning
83 citationsRead