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ORCIDRebecca Fiebrink
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- affiliation: Goldsmiths, University of London, UK
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2020 – today
- 2024
[j11]Timea Farkas, Nathan Gerard Jayy Hughes, Rebecca Fiebrink:
How Boardgame Players Imagine Interacting With Technology. Proc. ACM Hum. Comput. Interact. 8(CHI): 1-24 (2024)- [c58]Joana Chicau
, Kristina Popova, Rebecca Fiebrink:
From Individual Discomfort to Collective Solidarity: Choreographic Exploration of Extractivist Technology. TEI 2024: 54:1-54:3 - 2023
- [c57]Benedikte Wallace, Clarice Hilton, Kristian Nymoen, Jim Torresen, Charles Patrick Martin, Rebecca Fiebrink:
Embodying an Interactive AI for Dance Through Movement Ideation. Creativity & Cognition 2023: 454-464 - [c56]Gabriel Vigliensoni, Rebecca Fiebrink:
Steering latent audio models through interactive machine learning. ICCC 2023: 393-396 - 2022
- [c55]Timea Farkas, Alena Denisova, Sarah Wiseman, Rebecca Fiebrink:
The Effects of a Soundtrack on Board Game Player Experience. CHI 2022: 192:1-192:13 - 2021
- [j10]Kiona Hagen Niehaus, Rebecca Fiebrink:
Making Up 3D Bodies: Artistic and Serendipitous Modeling of Digital Human Figures. Proc. ACM Comput. Graph. Interact. Tech. 4(2): 23:1-23:9 (2021) - [c54]Vesna G. Djokic, Ekaterina Shutova, Rebecca Fiebrink:
MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. CHI Extended Abstracts 2021: 185:1-185:4 - [c53]Nicola Plant, Clarice Hilton, Marco Gillies, Rebecca Fiebrink, Phoenix Perry, Carlos González Díaz, Ruth Gibson, Bruno Martelli, Michael Zbyszynski:
Interactive Machine Learning for Embodied Interaction Design: A tool and methodology. TEI 2021: 68:1-68:5 - [c52]Clarice Hilton, Nicola Plant, Carlos González Díaz, Phoenix Perry, Ruth Gibson, Bruno Martelli, Michael Zbyszynski, Rebecca Fiebrink, Marco Gillies:
InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media. VRST 2021: 23:1-23:10 - 2020
- [j9]Francisco Bernardo, Michael Zbyszynski, Mick Grierson, Rebecca Fiebrink:
Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. Frontiers Artif. Intell. 3: 13 (2020) - [c51]Timea Farkas, Sarah Wiseman, Paul A. Cairns, Rebecca Fiebrink:
A Grounded Analysis of Player-Described Board Game Immersion. CHI PLAY 2020: 427-437 - [c50]Gabriel Vigliensoni, Louis McCallum, Rebecca Fiebrink:
Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. ICCC 2020: 259-262 - [c49]Nicola Plant, Ruth Gibson, Carlos González Díaz, Bruno Martelli, Michael Zbyszynski, Rebecca Fiebrink, Marco Gillies, Clarice Hilton, Phoenix Perry:
Movement interaction design for immersive media using interactive machine learning. MOCO 2020: 33:1-33:2 - [c48]Rebecca Fiebrink, Laetitia Sonami:
Reflections on Eight Years of Instrument Creation with Machine Learning. NIME 2020: 237-242 - [i3]Memo Akten, Rebecca Fiebrink, Mick Grierson:
Learning to See: You Are What You See. CoRR abs/2003.00902 (2020) - [i2]Memo Akten, Rebecca Fiebrink, Mick Grierson:
Deep Meditations: Controlled navigation of latent space. CoRR abs/2003.00910 (2020)
2010 – 2019
- 2019
- [j8]Myounghoon Jeon, Rebecca Fiebrink, Ernest A. Edmonds, Damith C. Herath:
From rituals to magic: Interactive art and HCI of the past, present, and future. Int. J. Hum. Comput. Stud. 131: 108-119 (2019) - [j7]R. Benjamin Shapiro, Rebecca Fiebrink:
Introduction to the Special Section: Launching an Agenda for Research on Learning Machine Learning. ACM Trans. Comput. Educ. 19(4): 30:1-30:6 (2019) - [j6]Rebecca Fiebrink:
Machine Learning Education for Artists, Musicians, and Other Creative Practitioners. ACM Trans. Comput. Educ. 19(4): 31:1-31:32 (2019) - [j5]KatieAnna E. Wolf, Rebecca Fiebrink:
Personalised interactive sonification of musical performance data. J. Multimodal User Interfaces 13(3): 245-265 (2019) - [c47]Gonzalo A. Ramos, Jina Suh, Soroush Ghorashi, Christopher Meek, Richard Banks, Saleema Amershi, Rebecca Fiebrink, Alison Smith-Renner, Gagan Bansal:
Emerging Perspectives in Human-Centered Machine Learning. CHI Extended Abstracts 2019 - [c46]Carlos González Díaz, Phoenix Perry, Rebecca Fiebrink:
Interactive Machine Learning for More Expressive Game Interactions. CoG 2019: 1-2 - [c45]Peter Knees, Markus Schedl, Rebecca Fiebrink:
Intelligent music interfaces for listening and creation. IUI Companion 2019: 135-136 - [c44]Samuel Thompson Parke-Wolfe, Hugo Scurto, Rebecca Fiebrink:
Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities. NIME 2019: 192-197 - [p2]Simon Holland, Rebecca Fiebrink:
Machine Learning, Music and Creativity: An Interview with Rebecca Fiebrink. New Directions in Music and Human-Computer Interaction 2019: 259-267 - 2018
- [j4]R. Benjamin Shapiro, Rebecca Fiebrink, Peter Norvig:
How machine learning impacts the undergraduate computing curriculum. Commun. ACM 61(11): 27-29 (2018) - [j3]Rebecca Fiebrink, Marco Gillies:
Introduction to the Special Issue on Human-Centered Machine Learning. ACM Trans. Interact. Intell. Syst. 8(2): 7:1-7:7 (2018) - [p1]Rebecca Fiebrink, Baptiste Caramiaux:
Machine Learning and Listening in Composition and Performance. The Oxford Handbook of Algorithmic Music 2018 - 2017
- [j2]R. Benjamin Shapiro, Annie Kelly, Matthew P. Ahrens, Ben Johnson, Heather Politi, Rebecca Fiebrink:
Tangible Distributed Computer Music for Youth. Comput. Music. J. 41(2): 52-68 (2017) - [c43]Francisco Bernardo, Michael Zbyszynski, Rebecca Fiebrink, Mick Grierson:
Interactive Machine Learning for End-User Innovation. AAAI Spring Symposia 2017 - [c42]Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink, Marco Gillies, Jeremy Gow, Memo Akten, Gillian Smith, Antonios Liapis, Kate Compton:
Mixed-Initiative Creative Interfaces. CHI Extended Abstracts 2017: 628-635 - [e2]Sebastian Deterding, Jonathan Hook, Rebecca Fiebrink, Marco Gillies, Jeremy Gow, Gillian Smith, Kate Compton, Memo Akten:
Proceedings of the CHI'17 Workshop on Mixed-Initiative Creative Interfaces co-located with ACM CHI Conference on Human Factors in Computing Systems (CHI 2017), Denver, USA, May 7, 2017. CEUR Workshop Proceedings 1907, CEUR-WS.org 2017 [contents] - 2016
- [c41]Marco Gillies, Rebecca Fiebrink, Atau Tanaka, Jérémie Garcia, Frédéric Bevilacqua, Alexis Héloir, Fabrizio Nunnari, Wendy E. Mackay, Saleema Amershi, Bongshin Lee, Nicolas D'Alessandro, Joëlle Tilmanne, Todd Kulesza, Baptiste Caramiaux:
Human-Centred Machine Learning. CHI Extended Abstracts 2016: 3558-3565 - [c40]Hugo Scurto, Rebecca Fiebrink:
Grab-and-Play Mapping: Creative Machine Learning Approaches for Musical Inclusion and Exploration. ICMC 2016 - [c39]Reid Oda, Rebecca Fiebrink:
The Global Metronome: Absolute Tempo Sync For Networked Musical Performance. NIME 2016: 26-31 - [c38]R. Benjamin Shapiro, Rebecca Fiebrink, Matthew P. Ahrens, Annie Kelly:
BlockyTalky: A Physical and Distributed Computer Music Toolkit for Kids. NIME 2016: 427-432 - [i1]Rebecca Fiebrink, Baptiste Caramiaux:
The Machine Learning Algorithm as Creative Musical Tool. CoRR abs/1611.00379 (2016) - 2015
- [c37]Simon Katan, Mick Grierson, Rebecca Fiebrink:
Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. CHI 2015: 251-254 - [c36]Rebecca Fiebrink:
Data as design tool. How understanding data as a user interface can make end-user design more accessible, efficient, effective, and embodied, while challenging machine learning conventions. ICAD 2015: 11 - [c35]KatieAnna Wolf, Genna Gliner, Rebecca Fiebrink:
End-User Development of Sonifications using Soundscapes. ICAD 2015: 281-288 - [c34]Elise Deitrick, R. Benjamin Shapiro, Matthew P. Ahrens, Rebecca Fiebrink, Paul D. Lehrman, Saad Farooq:
Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning. ICER 2015: 51-60 - [c33]KatieAnna E. Wolf, Genna Gliner, Rebecca Fiebrink:
A Model for Data-Driven Sonification Using Soundscapes. IUI Companion 2015: 97-100 - [c32]Zeyu Jin, Reid Oda, Adam Finkelstein, Rebecca Fiebrink:
Mallo: a distributed synchronized musical instrument designed for internet performance. NIME 2015: 293-298 - 2014
- [c31]Kyle Hipke, Michael Toomim, Rebecca Fiebrink, James Fogarty:
BeatBox: end-user interactive definition and training of recognizers for percussive vocalizations. AVI 2014: 121-124 - [c30]Christopher Patrick Laguna, Rebecca Fiebrink:
Improving data-driven design and exploration of digital musical instruments. CHI Extended Abstracts 2014: 2575-2580 - [e1]Baptiste Caramiaux, Koray Tahiroglu, Rebecca Fiebrink, Atau Tanaka:
14th International Conference on New Interfaces for Musical Expression, NIME 2014, London, United Kingdom, June 30 - July 4, 2014. nime.org 2014 [contents] - 2013
- [j1]Dan Morris, Rebecca Fiebrink:
Using machine learning to support pedagogy in the arts. Pers. Ubiquitous Comput. 17(8): 1631-1635 (2013) - [c29]Avneesh Sarwate, Rebecca Fiebrink:
Expansion on Description-Based Design of Melodies. MUME@AIIDE 2013 - [c28]Reid Oda, Adam Finkelstein, Rebecca Fiebrink:
Towards Note-Level Prediction for Networked Music Performance. NIME 2013: 94-97 - [c27]Danielle Bragg, Rebecca Fiebrink:
Synchronous Data Flow Modeling for DMIs. NIME 2013: 237-242 - [c26]Avneesh Sarwate, Rebecca Fiebrink:
Variator: A Creativity Support Tool for Music Composition. NIME 2013: 279-282 - [c25]KatieAnna Wolf, Rebecca Fiebrink:
SonNet: A Code Interface for Sonifying Computer Network Data. NIME 2013: 503-506 - [c24]Ohad Fried, Rebecca Fiebrink:
Cross-modal Sound Mapping Using Deep Learning. NIME 2013: 531-534 - 2012
- [c23]Zhe Xu, Rebecca Fiebrink, Yoky Matsuoka:
Virtual therapist: A Phantom robot-based haptic system for personalized post-surgery finger rehabilitation. ROBIO 2012: 1662-1667 - 2011
- [c22]Rebecca Fiebrink, Perry R. Cook, Dan Trueman:
Human model evaluation in interactive supervised learning. CHI 2011: 147-156 - [c21]Margaret Schedel, Rebecca Fiebrink:
A Demonstration of Bow Articulation Recognition with Wekinator and K-Bow. ICMC 2011 - [c20]Margaret Schedel, Phoenix Perry, Rebecca Fiebrink:
Wekinating 000000Swan: Using Machine Learning to Create and Control Complex Artistic Systems. NIME 2011: 453-456 - 2010
- [c19]Rebecca Fiebrink:
Real-time interaction with supervised learning. CHI Extended Abstracts 2010: 2935-2938 - [c18]Rebecca Fiebrink, Daniel Trueman, N. Cameron Britt, Michelle Nagai, Konrad Kaczmarek, Michael Early, M. R. Daniel, Anne Hege, Perry R. Cook:
Toward Understanding Human-Computer Interaction In Composing The Instrument. ICMC 2010
2000 – 2009
- 2009
- [c17]Rebecca Fiebrink, Dan Morris, Meredith Ringel Morris:
Dynamic mapping of physical controls for tabletop groupware. CHI 2009: 471-480 - [c16]Rebecca Fiebrink, Perry R. Cook:
Play-Along Mapping of Musical Controllers. ICMC 2009 - [c15]Ge Wang, Georg Essl, Jeff Smith, Spencer Salazar, Perry R. Cook, Rob Hamilton, Rebecca Fiebrink, Jonathan Berger, David Zhu, Mattias Ljungstrom, Arnaud Berry, Jennifer Wu, Turner Kirk, Elon Berger, Jillian Segal:
Smule = Sonic Media: An Intersection of the Mobile, Musical, and Social. ICMC 2009 - [c14]Rebecca Fiebrink, Dan Trueman, Perry R. Cook:
A Meta-Instrument for Interactive, On-the-Fly Machine Learning. NIME 2009: 280-285 - [c13]Ge Wang, Rebecca Fiebrink:
PLOrk Beat Science 2.0. NIME 2009: 334 - 2008
- [c12]Rebecca Fiebrink, Ge Wang, Perry R. Cook:
Foundations for on-the-Fly Learning in the Chuck Programming Language. ICMC 2008 - [c11]Ge Wang, Rebecca Fiebrink, Perry R. Cook:
Music Information Retrieval in ChucK; Real-Time Prototyping for MIR Systems & Performance. ISMIR 2008: 23 - [c10]Rebecca Fiebrink, Ge Wang, Perry R. Cook:
Support for MIR Prototyping and Real-Time Applications in the ChucK Programming Language. ISMIR 2008: 153-158 - 2007
- [c9]Ge Wang, Rebecca Fiebrink, Perry R. Cook:
Combining Analysis and synthesis in the Chuck Programming Language. ICMC 2007 - [c8]Christopher DeCoro, Zafer Barutçuoglu, Rebecca Fiebrink:
Bayesian Aggregation for Hierarchical Genre Classification. ISMIR 2007: 77-80 - [c7]Rebecca Fiebrink, Ge Wang, Perry R. Cook:
Don't Forget the Laptop: Using Native Input Capabilities for Expressive Musical Control. NIME 2007: 164-167 - 2006
- [c6]Rebecca Fiebrink, Ichiro Fujinaga:
Feature Selection Pitfalls and Music Classification. ISMIR 2006: 340-341 - 2005
- [c5]Cory McKay, Daniel McEnnis, Rebecca Fiebrink, Ichiro Fujinaga:
Ace: a General-Purpose Classification Ensemble Optimization Framework. ICMC 2005 - [c4]Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Beinan Li, Ichiro Fujinaga:
ACE: A Framework for Optimizing Music Classification. ISMIR 2005: 42-49 - [c3]Rebecca Fiebrink, Cory McKay, Ichiro Fujinaga:
Combining D2K and JGAP for Efficient Feature Weighting for Classification Tasks in Music Information Retrieval. ISMIR 2005: 510-513 - [c2]Elliot Sinyor, Cory McKay, Rebecca Fiebrink, Daniel McEnnis, Ichiro Fujinaga:
Beatbox Classification Using ACE. ISMIR 2005: 672-675 - [c1]David Birnbaum, Rebecca Fiebrink, Joseph W. Malloch, Marcelo M. Wanderley:
Towards a Dimension Space for Musical Artifacts. NIME 2005: 192-195
Coauthor Index
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