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Items where Author is "Fiebrink:Rebecca::"

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Number of items: 44.

Article

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Farkas, Timea and Hughes, Nathan Gerard Jayy and Fiebrink, Rebecca (2024) How Boardgame Players Imagine Interacting With Technology. Proceedings of the ACM on Human-Computer Interaction, 8. ISSN 2573-0142 Item availability restricted.

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Vigliensoni, Gabriel and McCallum, Louis and Maestre, Esteban and Fiebrink, Rebecca (2022) R-VAE: Live latent space drum rhythm generation from minimal-size datasets. Journal of Creative Music Systems, 1 (1). ISSN 2399-7656

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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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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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Jeon, Myounghoon and Fiebrink, Rebecca and Edmonds, Ernest A. and Herath, Damith (2019) From rituals to magic: Interactive art and HCI of the past, present, and future. International Journal of Human-Computer Studies, 131. pp. 108-119. ISSN 1071-5819

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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

Book Section

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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

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Holland, Simon and Fiebrink, Rebecca (2019) Machine Learning, Music and Creativity: An Interview with Rebecca Fiebrink. In: New Directions in Music and Human-Computer Interac- tion. Springer, Cham, Switzerland, pp. 259-267. ISBN 9783319920696

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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

Conference, Symposium or Workshop Item

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Meriç, Melis and White, Seamus and Suárez Zapico, Alba and Yanovich, Zelda and Koby-Hirschmann, Bethany and Fiebrink, Rebecca (2024) Imagination Tool: Accessible AI Image Generation Software to Support Child Ideation and Creative Expression. In: International Conference on Computational Creativity (ICCC), 17-21 June 2024, Jönköping, Sweden.

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Chicau, Joana and Popova, Kristina and Fiebrink, Rebecca (2024) From Individual Discomfort to Collective Solidarity: Choreographic Exploration of Extractivist Technology. In: TEI 2024: On the Edge, 11-14 February 2024, Cork, Ireland.

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Shimizu, Junichi and Olowe, Ireti and Broad, Terence and Vigliensoni, Gabriel and Thattai Ravikumar, Prashanth and Fiebrink, Rebecca (2023) Interactive Machine Learning for Generative Models. In: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design, 16 December 2023, New Orleans.

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Wood, Oliver and Fiebrink, Rebecca (2023) Setting Switcher: Changing genre-settings in text-based game environments populated by generative agents. In: NeurIPS 2023 Workshop on Machine Learning for Creativity and Design, 16 December 2023, New Orleans.

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Sykes, Jennifer and Grierson, Mick and Fiebrink, Rebecca (2023) Seeing Programming Seeing: Exploring the Pedagogical Values of Functional Errors in Creative Coding. In: xCoAx: 8th Conference on Computation, Communication, Aesthetics & X, 5–7 July 2023, Weimar, Germany.

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Vigliensoni, Gabriel and Fiebrink, Rebecca (2023) Interacting with neural audio synthesis models through interactive machine learning. In: Explainable AI for the Arts: XAIxArts: ACM Creativity & Cognition 2023, 19 June 2023, Virtual.

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Wallace, Benedikte and Hilton, Clarice and Nymoen, Kristian and Torresen, Jim and Martin, Charles Patrick and Fiebrink, Rebecca (2023) Embodying an Interactive AI for Dance Through Movement Ideation. In: ACM Conference on Creativity & Cognition 2023, 19-21 June 2023, Virtual.

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Vigliensoni, Gabriel and Fiebrink, Rebecca (2023) Steering latent audio models through interactive machine learning. In: ICCC’23: 14th International Conference on Computational Creativity, 19-23 June 2023, Waterloo, ON, Canada.

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Shimizu, Junichi and Fiebrink, Rebecca (2023) Genny: Designing and Exploring a Live Coding Interface for Generative Models. In: ICLC 2023, 19-23 April 2023, Utrecht, The Netherlands.

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Thelle, Notto J. W. and Fiebrink, Rebecca (2022) How do Musicians Experience Jamming with a Co-Creative “AI”? In: Machine Learning for Creativity and Design: NeurIPS 2022 Workshop, 9 December 2022, Virtual.

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Pelniski Ramos, Teresa and Shepardson, Victor and Symons, Steve and Santiago Caspe, Franco and Benito, Adan L and Armitage, Jack and Kiefer, Chris and Fiebrink, Rebecca and Magnusson, Thor and McPherson, Andrew (2022) Embedded AI for NIME: Challenges and Opportunities. In: International Conference on New Interfaces for Musical Expression, 28 June - 1 July 2022, Waipapa Taumata Rau, Aotearoa.

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Vigliensoni, Gabriel and Perry, Phoenix and Fiebrink, Rebecca (2022) A Small-Data Mindset for Generative AI Creative Work. In: Generative AI and HCI - CHI 2022 Workshop, 10 May 2022, New Orleans, USA, Online.

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Farkas, Timea and Denisova, Alena and Wiseman, Sarah and Fiebrink, Rebecca (2022) The Effects of a Soundtrack on Board Game Player Experience. In: ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'22), 30 April - 5 May 2022, New Orleans, USA.

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Perry, Phoenix and Fiebrink, Rebecca and Grierson, Mick and Brueggemann, M J Hunter and Doukianou, Stella and Plummer-Fernandez, Matthew and Troisi, Anna (2022) Art in HCI: A View from the UAL Creative Computing Institute. In: The State of the (CHI)Art - ACM CHI '22 Workshop, New Orleans, USA, Online.

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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.

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Niehaus, Kiona Hagen and Fiebrink, Rebecca (2021) Making Up 3D Bodies: Artistic and Serendipitous Modeling of Digital Human Figures. In: SIGGRAPH 2021 Art Papers, 9-13 August 2021, Online.

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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.

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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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Gonzalez Diaz, Carlos and Perry, Phoenix and Fiebrink, Rebecca (2019) Interactive Machine Learning for More Expressive Game Interactions. In: IEEE Conference on Games (GOG) 2019, 20-23 August 2019, London, UK.

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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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Parke-Wolfe, Samuel Thompson and Scurto, Hugo and Fiebrink, Rebecca (2019) Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities. In: New Interfaces for Musical Expression (NIME), 3-6 June 2019, Porto Alegre, Brazil.

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McCallum, Louis and Fiebrink, Rebecca (2019) Supporting Feature Engineering in End-User Machine Learning. In: CHI 2019 Workshop on Emerging Perspectives in Human-Centered Machine Learning, 4 May 2019, Glasgow, Scotland.

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Ramos, Gonzalo and Suh, Jina and Ghorashi, Soroush and Meek, Christopher and Banks, Richard and Amershi, Saleema and Fiebrink, Rebecca and Smith-Renner, Alison and Bansal, Gagan (2019) Emerging Perspectives in Human-Centered Machine Learning. In: CHI '19: CHI Conference on Human Factors in Computing Systems, 4-9 May 2019, Glasgow, Scotland.

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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 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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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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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.

Other

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Perry, Phoenix and Fiebrink, Rebecca (2021) InteractML.

This list was generated on Thu Nov 21 19:42:13 2024 GMT.

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