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Items where Division is "Institute for Creative Computing"

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Jump to: 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013 | 2011 | 2009
Number of items at this level: 40.

2021

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Djokic, Vesna G. and Shutova, Ekaterina and Fiebrink, Rebecca (2021) MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. In: CHI 2021 - Interactivity, 8-13 May 2021, Yokohama, Japan / Virtual. Item availablity restricted.

2020

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Farkas, Timea and Wiseman, Sarah and Cairns, Paul and Fiebrink, Rebecca (2020) A Grounded Analysis of Player-Described Board Game Immersion. In: CHI PLAY 2020, 2-4 November 2020, Ottawa, Canada.

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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.

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McCallum, Louis and Fiebrink, Rebecca (2020) The challenge of feature engineering in programming for moving bodies. In: NordiCHI '20 Workshop on Programming for Moving Bodies, 26 October 2020, Online.

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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.

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Vigliensoni, Gabriel and McCallum, Louis and Maestre, Esteban and Fiebrink, Rebecca (2020) Generation and visualization of rhythmic latent spaces. In: The 2020 Joint Conference on AI Music Creativity, 19-23 October 2020.

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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.

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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.

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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.

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Chapko, Dorota and Grierson, Mick (2020) Amplifying Voices: Co-researchers with Learning Disabilities Use a Co-designed Survey to “have a conversation with the public”. In: CHI 2020, 26-30 April 2020, Honolulu, Hawaii.

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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

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Chapko, Dorota and Frumiento, Pino and Edwards, Nalini and Emeh, Lizzie and Kennedy, Donald and McNicholas, David and Overton, Michaela and Snead, Mark and Steward, Robyn and Sutton, Jenny M and Jeffreys, Evie and Long, Catherine and Croll-Knight, Jess and Connors, Ben and Castell-Ward, Sam and Coke, David and McPeake, Bethany and Renel, William and McGinley, Chris and Remington, Anna and Whittuck, Dora and Kieffer, John and Ewans, Sarah and Williams, Mark and Grierson, Mick (2020) “We have been magnified for years - now you are under the microscope!": Co-researchers with learning disabilities created an online survey to challenge public understanding of learning disabilities. In: The ACM CHI Conference on Human Factors in Computing Systems, 25-30 April 2020, Honolulu, Hawaii.

2019

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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.

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

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Akten, Memo and Fiebrink, Rebecca and Grierson, Mick (2019) Learning to See: You Are What You See. In: SIGGRAPH 2019 Art Papers, 28 July - 1 August 2019, Los Angeles, United States.

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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.

2018

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Troisi, Anna (2018) OB-scene, a Live Audio/Visual Performance for Photoplethysmograph and Female Body. Organised Sound, 23 (3). pp. 270-276. ISSN 1469-8153

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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)

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Bernardo, Francisco and 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). ISSN 1646-9798

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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

2017

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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.

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Yee-King, Matthew and Grierson, Mick and d'Inverno, Mark (2017) Evidencing the value of inquiry based, constructionist, learning for student coders. International Journal of Engineering Pedagogy, 7 (3). pp. 109-129. ISSN 2192-4880

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Berio, Daniel and Akten, Memo and Leymarie, Frederic Fol and Grierson, Mick and Plamondon, Réjean (2017) Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks. In: 4th International Conference on Movement and Computing, 28 - 10 June 2017, London, United Kingdom.

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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.

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Yee-King, Matthew and Grierson, Mick and d'Inverno, Mark (2017) STEAM WORKS: Student coders experiment more and experimenters gain higher grades. In: Global Engineering Education Conference, 26 - 28 April 2017, Athens, Greece.

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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.

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Broad, Terence and Grierson, Mick (2017) Autoencoding Blade Runner: Reconstructing Films With Artificial Neural Networks. In: SIGGRAPH 2017 Art Gallery. ACM Publications, pp. 376-383. ISBN 978-1-4503-4998-7

2016

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Akten, Memo and Grierson, Mick (2016) Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks. In: Constructive Machine Learning Workshop, 10 December 2016, Barcelona, Spain.

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Akten, Memo and Grierson, Mick (2016) Real-time interactive sequence generation and control with Recurrent Neural Network ensembles. In: Recurrent Neural Networks Symposium, 8 December 2016, Barcelona Spain.

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Broad, Terence and Grierson, Mick (2016) Light Field Completion Using Focal Stack Propagation. In: ACM Siggraph, 24 - 28 July 2016, Anaheim, United States.

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Fiala, Jakub and Yee-King, Matthew and Grierson, Mick (2016) Collaborative Coding Interfaces on the Web. In: International Conference of Live Interfaces. REFRAME Books, pp. 49-57. ISBN 978-0-9931996-8-4

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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.

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Kirk, Pedro and Grierson, Mick and Bodak, Rebeka and Ward, Nick and Brander, Fran and Kelly, Kate and Newman, Nicholas and Stewart, Lauren (2016) Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Homes. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, San Jose, USA, pp. 1781-1785. ISBN 978-1-4503-3362-7

2015

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Katan, Simon and Grierson, Mick and Fiebrink, Rebecca (2015) Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM Publications, pp. 251-254. ISBN 978-1-4503-3145-6

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Jakubowski, Kelly and Halpern, Andrea and Grierson, Mick and Stewart, Lauren (2015) The effect of exercise-induced arousal on chosen tempi for familiar melodies. Psychonomic Bulletin and Review, 22 (2). pp. 559-565. ISSN 1069-9384

2013

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Grierson, Mick and Kiefer, Chris (2013) NoiseBear: A Wireless Malleable Instrument Designed In Participation with Disabled Children. In: New Interfaces For Musical Expression, 27 - 30 May 2013, Daejeon, South Korea.

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Grierson, Mick and Kiefer, Chris (2013) NoiseBear: a wireless malleable multiparametric controller for use in assistive technology contents. In: Extended Abstracts on Human Factors in Computing Systems, 27 April - 2 May 2013, Paris.

2011

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Fiebrink, Rebecca and Cook, Perry R. and Trueman, Daniel (2011) Human Model Evaluation in Interactive Supervised Learning. In: ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'11), 7-12 May 2011, Vancouver, BC, Canada.

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Grierson, Mick and Kiefer, Chris (2011) Better Brain Interfacing for the Masses: Progress in Event-Related Potential Detection Using Commercial Brain Computer Interfaces. In: 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems, 7 - 12 May 2011, Vancouver BC.

2009

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Fiebrink, Rebecca and Trueman, Daniel and Cook, Perry R. (2009) A Meta-Instrument for Interactive, On-the-fly Machine Learning. In: International Conference on New Interfaces for Musical Expression (NIME), 3-6 June 2009, Pittsburgh, PA, USA.

This list was generated on Sun Apr 18 06:03:05 2021 BST.

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