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UAL Research Online

Items where Subject is "Multi-media Computing Science"

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Number of items at this level: 15.

2005

Harris, Jane (2005) "Crafting" Computer Graphics—A Convergence of Traditional and "New" Media. Textile: The Journal of Cloth and Culture, 3 (1). pp. 20-34. ISSN 14759756

2012

Thomas, Makryniotis (2012) DressCode. [Art/Design Item]

2014

Cohen, Nathan (2014) Video ergo sum: an artist’s thoughts on inventing with computer technology in the creation of artworks. In: Digital Da Vinci: Computers in the Arts and Sciences. Springer, New York, USA, pp. 99-111. ISBN 978-1-4939-0964-3

2016

Olowe, Ireti and Barthet, Mathieu and Grierson, Mick and Bryan-Kinns, Nick (2016) FEATUR.UX exploiting multitrack information for artistic visualization. In: Proceedings of the International Conference on Technologies for Music Notation and Representation, 27 - 29 May 2016, Anglia Ruskin University, Cambridge, UK.

Cohen, Nathan (2016) Visual Perception, Abstraction and Invention: an Exploration. Interalia Magazine (22).

2017

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.

2018

Revell, Tobias, Supra Systems Studio (2018) Playing The Game. In: Supra Systems. London College of Communication, London, pp. 105-116. ISBN 9781916458703

Grierson, Mick (2018) Creative Coding for Audiovisual Art: The CodeCircle Platform. In: The Routledge Research Companion to Electronic Music: Reaching out with Technology. Routledge, UK. ISBN 9781472472915

Akten, Memo and Fiebrink, Rebecca and Grierson, Mick (2018) Deep Meditations: Controlled navigation of latent space. In: NeurIPS 2018 Workshop on Machine Learning for Creativity and Design, 3 - 8 December 2018, Montreal, Canada. (Submitted)

2019

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.

Fiebrink, Rebecca (2019) Machine Learning Education for Artists, Musicians, and Other Creative Practitioners. ACM Transactions on Computing Education, 19 (4). ISSN 1946-6226

Broad, Terence and Grierson, Mick (2019) Searching for an (un)stable equilibrium: experiments in training generative models without data. In: Machine Learning for Creativity and Design, December 14t 2019, NeurIPS 2019 Workshop, Vancouver, Canada.

2020

Vigliensoni, Gabriel and McCallum, Louis and Fiebrink, Rebecca (2020) Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. In: International Conference on Computational Creativity (ICCC), 7-11 September 2020.

Fiebrink, Rebecca and Sonami, Laetitia (2020) Reflections on Eight Years of Instrument Creation with Machine Learning. In: International Conference on New Interfaces for Musical Expression (NIME), 21-25 July 2020, Birmingham, UK.

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

This list was generated on Sun Sep 27 13:49:44 2020 BST.