Items where Author is "Zbyszynski:Michael::"

Hilton, Clarice and Plant, Nicola and Gonzalez Diaz, Carlos and Perry, Phoenix and Gibson, Ruth and Martelli, Bruno and Zbyszynski, Michael and Fiebrink, Rebecca and Gillies, Marco (2021) InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media. In: VRST 2021: ACM Symposium on Virtual Reality Software and Technology, 8-10 December 2021, Osaka, Japan.

Plant, Nicola and Hilton, Clarice and Gillies, Marco and Fiebrink, Rebecca and Perry, Phoenix and Gonzalez Diaz, Carlos and Gibson, Ruth and Martelli, Bruno and Zbyszynski, Michael (2021) Interactive Machine Learning for Embodied Interaction Design: A tool and methodology. In: TEI '21: Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction. Association for Computing Machinery. ISBN 978-1-4503-8213-7

Plant, Nicola and Zbyszynski, Michael and Gonzalez Diaz, Carlos and Hilton, Clarice and Fiebrink, Rebecca and Gibson, Ruth and Gillies, Marco and Perry, Phoenix and Martelli, Bruno (2020) Programming by Moving: Interactive Machine Learning for Embodied Interaction Design. In: NordiCHI'20 Workshop on Programming for Working Bodies, 26 October 2020, Online.

Hilton, Clarice and Gonzalez Diaz, Carlos and Gibson, Ruth and Perry, Phoenix and Fiebrink, Rebecca and Zbyszynski, Michael and Plant, Nicola and Martelli, Bruno and Gillies, Marco (2020) InteractML: Node Based Tool to Empower Artists and Dancers in using Interactive Machine Learning for Designing Movement Interaction. In: NordiCHI '20 The UX of Interactive Machine Learning, 25 October 2020, Online.

Plant, Nicola and Gibson, Ruth and Gonzalez Diaz, Carlos and Martelli, Bruno and Zbyszynski, Michael and Fiebrink, Rebecca and Gillies, Marco and Hilton, Clarice and Perry, Phoenix (2020) Movement interaction design for immersive media using interactive machine learning. In: 7th International Conference on Movement and Computing (MOCO '20), 15-17 July 2020, Online.

Bernardo, Francisco and Zbyszynski, Michael and Grierson, Mick and Fiebrink, Rebecca (2020) Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. Frontiers in Artificial Intelligence, 3. ISSN 2624-8212

Grierson, Mick and Yee-King, Matthew and McCallum, Louis and Kiefer, Chris and Zbyszynski, Michael (2019) Contemporary Machine Learning for Audio and Music Generation on the Web: Current Challenges and Potential Solutions. In: International Computer Music Conference, 16-23 June 2019, New York.

Zbyszynski, Michael and Grierson, Mick and Yee-King, Matthew and Fedden, Leon (2017) Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten. In: Web Audio Conference 2017, 21 - 23 August 2017, Queen Mary University of London, United Kingdom.

Zbyszynski, Michael and Grierson, Mick and Yee-King, Matthew (2017) Rapid Prototyping of New Instruments with CodeCircle. In: New Interfaces for Musical Expression, 15 - 18 May 2017, Copenhagen, Denmark.

Bernardo, Francisco and Zbyszynski, Michael and Fiebrink, Rebecca and Grierson, Mick (2017) Interactive Machine Learning for End-User. In: Designing the User Experience of Machine Learning Systems, 27 - 29 March 2017, Palo Alto, California, United States.