Browse by Goldsmiths authors: Bernardo, Francisco
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Number of items: 5.
Bernardo, Francisco; Zbyszynski, Michael; 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(13),
pp. 1-18.
[Article]
Bernardo, Francisco.
2020.
Interactive Machine Learning for User-Innovation Toolkits – An Action Design Research approach.
Doctoral thesis, Goldsmiths, University of London
[Thesis]
Bernardo, Francisco; Grierson, Mick and Fiebrink, Rebecca.
2018.
User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit.
Journal of Science and Technology of the Arts (CITARJ), 10(2),
2-25-2-38.
ISSN 1646-9798
[Article]
Bernardo, Francisco; Zbyszynski, Michael; Fiebrink, Rebecca and Grierson, Mick.
2016.
'Interactive Machine Learning for End-User Innovation'.
In: Designing the User Experience of Machine Learning Systems. Palo Alto, California, United States 27-29 March 2017.
[Conference or Workshop Item]
Ward, Nicholas; Ortiz, Miguel; Bernardo, Francisco and Tanaka, Atau.
2016.
'Designing and measuring gesture using Laban Movement Analysis and Electromyogram'.
In: BodySenseUX. UbiComp, Germany 12/09/2016.
[Conference or Workshop Item]