Rebecca Fiebrink

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Perry R. CookProfessor Emeritus of Computer Science (also Music), Princeton UniversityVerified email at cs.princeton.edu
Ge WangAssociate Professor of Music (also Computer Science), Stanford UniversityVerified email at ccrma.stanford.edu
Spencer SalazarPrincipal Engineer, Output Inc.Verified email at ccrma.stanford.edu
Marco GilliesSenior Lecturer in Computing, Goldsmiths, University of LondonVerified email at gold.ac.uk
R. Benjamin ShapiroUniversity of Colorado, BoulderVerified email at colorado.edu
Baptiste CaramiauxCNRS researcher, ISIR, Sorbonne UniversitéVerified email at lri.fr
Ichiro FujinagaProfessor, Music Technology Area, Schulich School of Music, McGill UniversityVerified email at mcgill.ca
Michael ZbyszyńskiGoldsmiths University of LondonVerified email at mikezed.com
Marcelo M. WanderleyProfessor, Music Technology - McGill UniversityVerified email at mcgill.ca
Joseph MallochAssistant Professor, Dalhousie UniversityVerified email at dal.ca
Cory McKayProfessor of Music, Marianopolis CollegeVerified email at mail.mcgill.ca
Reid OdaPrinceton UniversityVerified email at princeton.edu
Dan MorrisResearch Scientist, Google AI for Nature and SocietyVerified email at cs.stanford.edu
Francisco BernardoPostdoctoral Research Fellow, University College LondonVerified email at ucl.ac.uk
Annie KellyUniversity of Colorado BoulderVerified email at colorado.edu
Atau TanakaGoldsmiths, University of LondonVerified email at goldsmithsdigital.com
Memo AktenGoldsmiths, University of LondonVerified email at msavisuals.com
Hugo ScurtoPost-doc, EUR ArTeC / Paris 8 / EnsadLabVerified email at hugoscurto.com
Meredith Ringel MorrisDirector & Principal Scientist, People + AI Research, GoogleVerified email at google.com
margaret schedelStony Brook UniversityVerified email at stonybrook.edu

Rebecca Fiebrink

University of the Arts London

Verified email at arts.ac.uk - Homepage

Human-computer interaction machine learning technologies for music and creative expression


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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	183	2011
Real-time human interaction with supervised learning algorithms for music composition and performance RA Fiebrink Princeton University, 2011	151	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	151	2009
Towards a dimension space for musical devices D Birnbaum, R Fiebrink, J Malloch, MM Wanderley NIME 5, 192-195, 2005	132	2005
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	119	2016
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	91	2010
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	83	2007
Bayesian Aggregation for Hierarchical Genre Classification. C DeCoro, Z Barutcuoglu, R Fiebrink ISMIR, 77-80, 2007	69	2007
ACE: A Framework for Optimizing Music Classification. C McKay, R Fiebrink, D McEnnis, B Li, I Fujinaga ISMIR, 42-49, 2005	62	2005
Continuous score-coded pitch correction S Salazar, RA Fiebrink, G Wang, M Ljungström, JC Smith, PR Cook US Patent 9,147,385, 2015	54	2015
Toward understanding human-computer interaction in composing the instrument R Fiebrink, D Trueman, NC Britt, M Nagai, K Kaczmarek, M Early, ... ICMC, 2010	54	2010
Feature Selection Pitfalls and Music Classification. R Fiebrink, I Fujinaga ISMIR, 340-341, 2006	51	2006
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	50	2015
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	49	2014
The machine learning algorithm as creative musical tool R Fiebrink, B Caramiaux arXiv preprint arXiv:1611.00379, 2016	48	2016
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	48	2009
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	47	2017
Machine learning education for artists, musicians, and other creative practitioners R Fiebrink ACM Transactions on Computing Education (TOCE) 19 (4), 1-32, 2019	41	2019
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	40	2019
Play-along mapping of musical controllers R Fiebrink, PR Cook, D Trueman ICMC, 2009	39	2009

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