Rebecca Fiebrink 个人学术档案

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Ge WangAssociate Professor of Music (also Computer Science), Stanford University在 ccrma.stanford.edu 的电子邮件经过验证
Spencer SalazarPrincipal Engineer, Output Inc.在 ccrma.stanford.edu 的电子邮件经过验证
Marco GilliesProfessor in Computing, Goldsmiths, University of London在 gold.ac.uk 的电子邮件经过验证
Michael Zbyszyński在 mikezed.com 的电子邮件经过验证
Baptiste CaramiauxCNRS researcher (HDR), ISIR, Sorbonne Université在 lri.fr 的电子邮件经过验证
Ichiro FujinagaProfessor, Music Technology Area, Schulich School of Music, McGill University在 mcgill.ca 的电子邮件经过验证
Memo AktenGoldsmiths, University of London在 msavisuals.com 的电子邮件经过验证
Francisco BernardoPostdoctoral Research Fellow, University College London在 ucl.ac.uk 的电子邮件经过验证
Reid OdaPrinceton University在 princeton.edu 的电子邮件经过验证
Atau TanakaGoldsmiths, University of London在 goldsmithsdigital.com 的电子邮件经过验证
Annie KellyUniversity of Colorado Boulder在 colorado.edu 的电子邮件经过验证
Marcelo M. WanderleyProfessor, Music Technology - McGill University在 mcgill.ca 的电子邮件经过验证
Joseph MallochAssistant Professor, Dalhousie University在 dal.ca 的电子邮件经过验证
Cory McKayProfessor of Music, Marianopolis College在 mail.mcgill.ca 的电子邮件经过验证
Dan MorrisResearch Scientist, Google AI for Nature and Society在 cs.stanford.edu 的电子邮件经过验证
Hugo Scurtoartist, designer & researcher* (PhD)在 hugoscurto.com 的电子邮件经过验证
margaret schedelStony Brook University在 stonybrook.edu 的电子邮件经过验证
Meredith Ringel MorrisDirector, Human-AI Interaction Research, Google DeepMind在 google.com 的电子邮件经过验证
Zafer BarutcuogluPh.D. in Computer Science, Princeton University在 cs.princeton.edu 的电子邮件经过验证
Christopher DeCoroPh.D. in Computer Science, Princeton University在 cs.princeton.edu 的电子邮件经过验证

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Rebecca Fiebrink

Professor, Creative Computing Institute, University of the Arts London

在 arts.ac.uk 的电子邮件经过验证 - 首页

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	216	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	179	2009
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	171	2016
Real-time human interaction with supervised learning algorithms for music composition and performance RA Fiebrink Princeton University, 2011	169	2011
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	150	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	142	2010
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	106	2017
Machine learning education for artists, musicians, and other creative practitioners R Fiebrink ACM Transactions on Computing Education (TOCE) 19 (4), 1-32, 2019	97	2019
The machine learning algorithm as creative musical tool R Fiebrink, B Caramiaux arXiv preprint arXiv:1611.00379, 2016	95	2016
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	88	2007
Continuous score-coded pitch correction S Salazar, RA Fiebrink, G Wang, M Ljungström, JC Smith, PR Cook US Patent 9,147,385, 2015	79	2015
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	73	2019
Bayesian Aggregation for Hierarchical Genre Classification. C DeCoro, Z Barutcuoglu, R Fiebrink ISMIR, 77-80, 2007	73	2007
How machine learning impacts the undergraduate computing curriculum RB Shapiro, R Fiebrink, P Norvig Communications of the ACM 61 (11), 27-29, 2018	65	2018
ACE: A Framework for Optimizing Music Classification. C McKay, R Fiebrink, D McEnnis, B Li, I Fujinaga ISMIR, 42-49, 2005	64	2005
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	63	2015
Toward understanding human-computer interaction in composing the instrument R Fiebrink, D Trueman, NC Britt, M Nagai, K Kaczmarek, M Early, ... ICMC, 2010	61	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	59	2014
Feature Selection Pitfalls and Music Classification. R Fiebrink, I Fujinaga ISMIR, 340-341, 2006	55	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	49	2009

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