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Michael Zbyszyński
Michael Zbyszyński
Goldsmiths University of London
Geverifieerd e-mailadres voor mikezed.com - Homepage
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Ten years of tablet musical interfaces at CNMAT
M Zbyszynski, M Wright, A Momeni, D Cullen
Proceedings of the 7th international conference on New interfaces for …, 2007
492007
Audio and gesture latency measurements on linux and osx
M Wright, RJ Cassidy, M Zbyszynski
ICMC, 2004
382004
Augmenting the cello
A Freed, D Wessel, M Zbyszynski, FM Uitti
Proceedings of the 2006 conference on new interfaces for musical expression …, 2006
322006
Interactive machine learning for end-user innovation
F Bernardo, M Zbyszynski, R Fiebrink, M Grierson
2017 AAAI Spring Symposium Series, 2017
232017
Rapid prototyping of new instruments with codecircle
M Zbyszynski, M Grierson, M Yee-King
152017
Designing gestures for continuous sonic interaction
A Tanaka, B Di Donato, M Zbyszynski, G Roks
UFRGS, 2019
142019
Designing and evaluating the usability of a machine learning api for rapid prototyping music technology
F Bernardo, M Zbyszyński, M Grierson, R Fiebrink
Frontiers in artificial intelligence 3, 13, 2020
92020
Control of VST plug-ins using OSC
M Zbyszyński
Ann Arbor, MI: Michigan Publishing, University of Michigan Library, 2005
82005
Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten
M Zbyszynski, M Grierson, M Yee-King, L Fedden
Goldsmiths, University of London, 2017
72017
An Elementary Method for Tablet.
M Zbyszynski
NIME, 245-248, 2008
72008
Design and implementation of CNMAT's pedagogical software
M Zbyszynski, M Wright, E Campion
ICMC, 2007
62007
Gesture-Timbre Space: Multidimensional Feature Mapping Using Machine Learning and Concatenative Synthesis
M Zbyszyński, BD Donato, FG Visi, A Tanaka
International Symposium on Computer Music Multidisciplinary Research, 600-622, 2019
52019
Contemporary Machine Learning for Audio and Music Generation on the Web: Current Challenges and Potential Solutions
M Grierson, M Yee-King, L McCallum, C Kiefer, M Zbyszynski
52019
Interactive Machine Learning for Embodied Interaction Design: A tool and methodology
N Plant, C Hilton, M Gillies, R Fiebrink, P Perry, C González Díaz, ...
Proceedings of the Fifteenth International Conference on Tangible, Embedded …, 2021
42021
Movement interaction design for immersive media using interactive machine learning
N Plant, R Gibson, CG Diaz, B Martelli, M Zbyszyński, R Fiebrink, M Gillies, ...
Proceedings of the 7th International Conference on Movement and Computing, 1-2, 2020
42020
EAVI EMG board
B Di Donato, A Tanaka, M Zbyszynski, M Klang
UFRGS, 2019
42019
Networked comprovisation stratagies with zscore
S Zagorac, M Zbyszynski
Hamburg University for Music and Theater, 2020
32020
Augmenting the Cello
M Zbyszyński, A Freed, FM Uitti
Freed, Adrian, Francis-Marie Uitti, and Michael Zbyszyński: NIME Paris, 2006
32006
InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media
C Hilton, N Plant, C González Díaz, P Perry, R Gibson, B Martelli, ...
Proceedings of the 27th ACM Symposium on Virtual Reality Software and …, 2021
22021
Interactive machine learning: Strategies for live performance using electromyography
M Zbyszynski, A Tanaka, F Visi
Springer, 2020
22020
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Artikelen 1–20