Rebecca Fiebrink
Rebecca Fiebrink
Professor, Creative Computing Institute, University of the Arts London
Verified email at - Homepage
Cited by
Cited by
Human model evaluation in interactive supervised learning
R Fiebrink, PR Cook, D Trueman
Proceedings of the SIGCHI conference on human factors in computing systems …, 2011
A meta-instrument for interactive, on-the-fly machine learning
R Fiebrink, D Trueman, PR Cook
International Conference on New Interfaces for Musical Expression (NIME), 2009
Real-time human interaction with supervised learning algorithms for music composition and performance
RA Fiebrink
Princeton University, 2011
Human-centred machine learning
M Gillies, R Fiebrink, A Tanaka, J Garcia, F Bevilacqua, A Heloir, ...
Proceedings of the 2016 CHI conference extended abstracts on human factors …, 2016
2005: Towards a Dimension Space for Musical Devices
D Birnbaum, R Fiebrink, J Malloch, MM Wanderley
A NIME Reader: Fifteen Years of New Interfaces for Musical Expression, 211-222, 2017
The Wekinator: a system for real-time, interactive machine learning in music
R Fiebrink, PR Cook
Proceedings of The Eleventh International Society for Music Information …, 2010
The machine learning algorithm as creative musical tool
R Fiebrink, B Caramiaux
arXiv preprint arXiv:1611.00379, 2016
Machine learning education for artists, musicians, and other creative practitioners
R Fiebrink
ACM Transactions on Computing Education (TOCE) 19 (4), 1-32, 2019
Mixed-initiative creative interfaces
S Deterding, J Hook, R Fiebrink, M Gillies, J Gow, M Akten, G Smith, ...
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
Don't forget the laptop: using native input capabilities for expressive musical control
R Fiebrink, G Wang, PR Cook
Proceedings of the 7th international conference on New interfaces for …, 2007
From rituals to magic: Interactive art and HCI of the past, present, and future
M Jeon, R Fiebrink, EA Edmonds, D Herath
International Journal of Human-Computer Studies 131, 108-119, 2019
Continuous score-coded pitch correction
S Salazar, RA Fiebrink, G Wang, M Ljungström, JC Smith, PR Cook
US Patent 9,147,385, 2015
Bayesian Aggregation for Hierarchical Genre Classification.
C DeCoro, Z Barutcuoglu, R Fiebrink
ISMIR, 77-80, 2007
ACE: A Framework for Optimizing Music Classification.
C McKay, R Fiebrink, D McEnnis, B Li, I Fujinaga
ISMIR, 42-49, 2005
How machine learning impacts the undergraduate computing curriculum
RB Shapiro, R Fiebrink, P Norvig
Communications of the ACM 61 (11), 27-29, 2018
Using interactive machine learning to support interface development through workshops with disabled people
S Katan, M Grierson, R Fiebrink
Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015
Toward understanding human-computer interaction in composing the instrument
R Fiebrink, D Trueman, NC Britt, M Nagai, K Kaczmarek, M Early, ...
ICMC, 2010
World stage for pitch-corrected vocal performances
S Salazar, RA Fiebrink, G Wang, M Ljungström, JC Smith, J Yang
US Patent 8,682,653, 2014
Feature Selection Pitfalls and Music Classification.
R Fiebrink, I Fujinaga
ISMIR, 340-341, 2006
Dynamic mapping of physical controls for tabletop groupware
R Fiebrink, D Morris, MR Morris
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2009
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