Akten, M., R. Fiebrink, and M. Grierson. 2019. “Learning to see: You are what you see.” To appear in SIGGRAPH 2019 Art Papers. (art paper)

Fiebrink, R. 2019. “Machine Learning Education for Artists, Musicians, and Other Creative Practitioners.” ACM Transactions on Computing Education. Accepted, to appear 2019. (journal article)
pre-print pdf

Gonzalez Diaz, C., P. Perry, and R. Fiebrink. 2019. “Interactive Machine Learning for More Expressive Game Interactions.” To appear in Proceedings of the IEEE Conference on Games (CoG). (poster)

Holland S. and R. Fiebrink. 2019. “Machine learning, music and creativity: An interview with Rebecca Fiebrink. In: Holland S, Mudd T, Wilkie-McKenna K, McPherson A, Wanderley MM (eds) New Directions in Music and Human-Computer Interaction. Springer, London. ISBN 978-3-319-92069-6. (book chapter)
book

Jensenius, A. R., A. P. McPherson, A. Xambó, D. Overholt, G. Pellerin, I. Bukvic, R. Fiebrink, R. Schramm, and S. Serafin. 2019. “Workshop Proposal: Open Research Strategies and Tools in the NIME Community.” Proceedings of the International Conference on New Instruments for Musical Expression (NIME). 4–6 June 2019. (Workshop organised for NIME 2019).

Jeon, M., R. Fiebrink, E. Edmonds, and D. Herath. 2019. “From rituals to magic: Interactive art and HCI of the past, present and future.” International Journal of Human-Computer Studies. Accepted June 2019; to appear in summer/autumn 2019. (journal article)
read/download from Elsevier (free)

Knees, P., M. Schedl, and R. Fiebrink. 2019. “Intelligent music interfaces for listening and creation.” Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI’19): Companion. (Workshop organised for IUI’19)
pdf

McCallum, L. and R. Fiebrink. 2019. “Supporting Feature Engineering in End-User Machine Learning.” Emerging Perspectives in Machine Learning Workshop, held at CHI 2019, 4 May 2019. (workshop paper)
pdf

Parke-Wolfe, S. T., H. Scurto, and R. Fiebrink. 2019. “Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities.” Proceedings of the International Conference on New Instruments for Musical Expression (NIME). 4–6 June 2019. (paper with oral presentation)
pdf

Ramos, G., J. Suh, G. Bansal, S. Ghorashi, A. M. Smith-Renner, R. Fiebrink, R. Banks, C. Meek, and S. Amershi. 2019. “Emerging Perspectives in Human-Centred Machine Learning.” CHI ’19 Extended Abstracts on Human Factors in Computing Systems. (Workshop organised for CHI 2019)
pdf

Sørig, E., N. Collignon, R. Fiebrink, and N. Kando. “Evaluation of Rich and Explicit Feedback for Exploratory Search.” Proceedings of the WEPIR ’19 workshop on Evaluation of Personalisation in Information Retrieval, held at CHIIR 2019, 14 March 2019. (workshop paper)
pdf

Sørig, E., N. Collignon, R. Fiebrink, and N. Kando. “Towards Humane Feedback Mechanisms in Exploratory Search.” Emerging Perspectives in Machine Learning Workshop, held at CHI 2019, 4 May 2019. (workshop paper)
pdf

Wolf, K. and R. Fiebrink. 2019. “Personalised Interactive Sonification of Musical Performance Data.” Journal on Multimodal User Interfaces. Accepted December 2018, published online 13 March 2019. (journal article)
read online / pdf (open access)

Wolf, K. and R. Fiebrink. 2019. “Toward Supporting End-User Design of Soundscape Sonifications.” To appear at the International Conference on Auditory Display (ICAD), 23–27 June 2019. (paper with oral presentation)
pdf

Akten, M., R. Fiebrink, and M. Grierson. 2018. “Deep Meditations: Controlled navigation of latent space.” Proceedings of the NeurIPS 2018 workshop on Machine Learning for Creativity and Design. 8 December 2018.
pdf

Bernardo, F., M. Grierson, and R. Fiebrink. 2018. “User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit.” Journal Of Science And Technology Of The Arts, 10(2), 2-25-38. doi:http://dx.doi.org/10.7559/citarj.v10i2.509 (article)
pdf (open access)

Fiebrink, R., and B. Caramiaux. 2018. “The Machine Learning Algorithm As Creative Musical Tool.” In A. McLean and R. Dean, Editors, The Oxford Handbook of Algorithmic Music. Oxford University Press. (book chapter)
pre-print pdf, get the book

Fiebrink, R., and M. Gillies. 2018. “Introduction to the Special Issue on Human-Centered Machine Learning.” ACM Transactions on Interactive Intelligent Systems, 8(2): 7:1–7:7. (Introduction to TiiS special issue co-edited by Fiebrink and Gillies.)
pdf

Knees, P., M. Schedl, and R. Fiebrink. 2018. “IUI’18 Workshop on Intelligent Music Interfaces for Listening and Creation (MILC).” Proceedings of the 24th International Conference on Intelligent User Interfaces (IUI’18). (Workshop organised for IUI’18)

Shapiro, R. B., R. Fiebrink, and P. Norvig. 2018. “How machine learning impacts the undergraduate computing curriculum.” Communications of the ACM, November 2018, 61 (11):27-29.
pdf

Bernardo, F., M. Zbyszyński, R. Fiebrink, and M. Grierson. 2017. “Interactive machine learning for end-user innovation.” Proceedings of the AAAI Symposium Series: Designing the User Experience of Machine Learning Systems, 27–29 March 2017. (paper)
pdf

Birnbaum, D., R. Fiebrink, J. Malloch, and M. M. Wanderley. 2017. “Towards a Dimension Space for Musical Devices.” In A. R. Jensenius and M. Lyons, Editors, A NIME Reader: Fifteen Years of New Interfaces for Musical Expression. Springer International Publishing. ISBN 978-3-319-47213-3.
link
This volume is a compilation of 30 historically significant papers from the International Conference on New Interfaces for Musical Expression. The original conference paper was published at NIME 2005.

S. Deterding, J. Hook, R. Fiebrink, M. Gillies, J. Gow, M. Akten, G. Smith, A. Liapis, and K. Compton. 2017. “Mixed-initiative creative interfaces.” In CHI’17 Extended Abstracts on Human Factors in Computing Systems. (Workshop at CHI 2017)
pdf

Fiebrink, R. 2017. “Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation.” In T. Bovermann et al., Editors, Musical Instruments in the 21st Century. pp. 137–151. Springer. ISBN 978-981-10-2950-9. (book chapter)
preprint pdf

Fiebrink, R., G. Wang, and P. R. Cook. 2017. “Don’t forget the laptop: Using native input capabilities for expressive musical control.” In A. R. Jensenius and M. Lyons, Editors, A NIME Reader: Fifteen Years of New Interfaces for Musical Expression. Springer International Publishing. ISBN 978-3-319-47213-3.
link
This volume is a compilation of 30 historically significant papers from the International Conference on New Interfaces for Musical Expression. The original conference paper was published at NIME 2007.

Niehaus, K. H. and Fiebrink, R. 2017.“Creative Diversity: Expanding Software for 3D Human Avatar Design.” In Proceedings of the Digital Games Research Association Conference. Melbourne, Australia 3-6 July 2017. (extended abstract)
pdf

Shapiro, R. B., A. Kelly, M. Ahrens, B. Johnson, H. Politi, and R. Fiebrink. 2017. “Tangible Distributed Computer Music for Youth.” Computer Music Journal, 41(2), Summer 2017, p. 52–68. ISSN 01489267. (paper)
link

2016

Gillies, M., R. Fiebrink, A. Tanaka, J Garcia, S. Amershi, B. Lee, F. Bevilacqua, A. Heloir, F. Nunnari, W. Mackay, T. Kulesza, B. Caramiaux, N. d’Alessandro, and J. Tilmanne, 2016. “Human-Centered Machine Learning”. CHI’16 Extended Abstracts on Human Factors in Computing Systems, pp. 3558–3565. (Workshop held at CHI 2016)
pdf

Oda, R., and R. Fiebrink. “The Global Metronome: Absolute tempo sync for networked musical performance.” Proceedings of the International Conference on New Interfaces for Musical Expression (NIME), July 11-15 2016. (paper)
pdf

Scurto, H., and R. Fiebrink. “Grab-and-play mapping: Creative machine learning approaches for musical inclusion and exploration.” Proceedings of the International Computer Music Conference (ICMC), September 12-16 2016. (paper)
pdf

Shapiro, B., A. Kelly, M. Ahrens, and R. Fiebrink. “BlockyTalky: A physical and distributed computer music toolkit for kids.” Proceedings of the International Conference on New Interfaces for Musical Expression (NIME), July 11-15 2016. (paper)
pdf

2015

Deitrick, E, R. B. Shapiro, M. P. Ahrens, R. Fiebrink, P. D. Lehrman, and S. Farooq. “Using distributed cognition theory to analyze collaborative computer science learning.” Proceedings of the International Conference on International Computing Education Research (ICER), August 9–13 2015, pp. 51–60. (paper)
pdf

Jin, Z., R. Oda, A. Finkelstein, and R. Fiebrink. “MalLo: A distributed synchronized musical instrument designed for internet performance.” Proceedings of New Interfaces for Musical Expression (NIME), May 31–June 1 2015, pp. 293–298. (paper with oral presentation and poster presentation)
pdf

Katan, S., M. Grierson, and R. Fiebrink. “Using interactive machine learning to support interface development through workshops with disabled people.” Proceedings of ACM CHI, April 18–23 2015. (paper)
pdf

Wolf, K. E., G. Gliner, and R. Fiebrink. “A model for data-driven sonification using soundscapes.” Proceedings of ACM Conference on Intelligent User Interfaces (IUI), March 29–April 1, 2015. (poster)
pdf

Wolf, K. E., G. Gliner, and R. Fiebrink. “End-user development of sonifications using soundscapes.” Proceedings of the International Conference on Auditory Display (ICAD), July 6–10, 2015. (paper)
pdf

Zayaruznaya, A., and R. Fiebrink. “The Roman de Fauvel as synthetic digital object.” The IAML/IMS  (International Association of Music Libraries, Archives, and Documentation Centres / International Musicological Society) Congress, New York City, June 21–26, 2015. (oral presentation with published abstract)
pdf

2014

Hipke, K., M. Toomim, R. Fiebrink, and J. Fogarty. “BeatBox: End-user interactive definition and training of recognizers for percussive vocalizations.” Proceedings of AVI 2014 International Working Conference on Advanced Visual Interfaces (AVI), Como, Italy, May 27–30. (paper)
pdf

Laguna, C., and R. Fiebrink. 2014. “Improving data-driven design and exploration of digital musical instruments.” CHI’14 Extended Abstracts, 26 April–1 May. (Work-in-progress poster)
pdf

Zayaruznaya, A., and R. Fiebrink. “Reimagining the facsimile: Project report on The Digital Fauvel” Early Music 42(4): 599-604. November 2014. (paper)
pdf

2013

Fried, O., and R. Fiebrink. “Cross-modal sound mapping using deep learning.” Proceedings of New Interfaces for Musical Expression (NIME), Daejeon, South Korea, May 27–30, 2013. (paper)
pdf

Oda, R., A. Finkelstein, and R. Fiebrink. “Towards note-level prediction for networked music performance.” Proceedings of New Interfaces for Musical Expression (NIME), Daejeon, South Korea, May 27–30, 2013. (poster with paper in proceedings)
pdf

Sarwate, A., and R. Fiebrink. “Variator: A creativity support tool for music composition.” Proceedings of New Interfaces for Musical Expression (NIME), Daejeon, South Korea, May 27–30, 2013. (poster with paper in proceedings)
pdf

Sarwate, A., and R. Fiebrink. “Expansion on description-based design of melodies.” Proceedings of the 3rd International Workshop on Musical Metacreation (MUME) / Ninth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE).

Wolf, K. E., and R. Fiebrink. “SonNet: A code interface for sonifying computer network data.” Proceedings of New Interfaces for Musical Expression (NIME), Daejeon, South Korea, May 27–30, 2013. (paper)
pdf

Zhang, E., and R. Fiebrink. “KIB: Simplifying gestural instrument creation using widgets.” Proceedings of New Interfaces for Musical Expression (NIME), Daejeon, South Korea, May 27–30, 2013. (poster with paper in proceedings)
pdf

2012

Xu, Z., R. Fiebrink, and Y. Matsuoka. “Virtual Therapist: A Phantom Robot-Based Haptic System for Personalized Post-Surgery Finger Rehabilitation.” Proceedings of the IEEE International Conference on Robotics and Biometrics (ROBIO 2012), Guangzhou, China, December 11–14, 2012. (paper)
pdf

Fiebrink, R., and D. Trueman. “End-user machine learning in music composition and performance.” Presented at the CHI 2012 Workshop on End-User Interactions with Intelligent and Autonomous Systems. Austin, Texas, May 6, 2012. (workshop paper)
pdf

Morris, D., and R. Fiebrink. “Using machine learning to support pedagogy in the arts.” Personal and Ubiquitous Computing, April 2012. (paper)
pdf

2011

Fiebrink, R. “Real-time human interaction with supervised learning algorithms for music composition and performance.” PhD thesis, Princeton University, 2011.
see thesis website for pdf and abstract

Fiebrink, R., P. R. Cook, and D. Trueman. “Human model evaluation in interactive supervised learning.” Proceedings of ACM CHI, Vancouver, May 7–12, 2011. (paper)
pdf

Morris, D., and R. Fiebrink. “Using machine learning to support pedagogy in the arts.” Presented at the CHI 2011 Child-Computer Interaction Workshop at CHI 2011, Vancouver, May 7, 2011. (workshop paper and presentation)
pdf

Schedel, M., P. Perry, and R. Fiebrink. “Wekinating 000000Swan: Using machine learning to create and control complex artistic systems.” Proceedings of New Interfaces for Musical Expression (NIME), Oslo, Norway, May 30–June 1, 2011. (poster)

Schedel, M., and R. Fiebrink. “A demonstration of bow articulation recognition with Wekinator and K-Bow.” Proceedings of the International Computer Music Conference (ICMC), Huddersfield, UK, July 31–August 5, 2011. (demo)
pdf

2010

Fiebrink, R. “Real-time interaction with supervised learning.” ACM CHI Extended Abstracts, Atlanta, April 10–15, 2010. (CHI doctoral consortium participant with published abstract)
pdf

Fiebrink, R., M. Schedel, and B. Threw. “Constructing a personalizable gesture-recognizer infrastructure for the K-Bow.” 3rd International Conference on Music and Gesture (MG3), Montreal, March 5–6, 2010. (oral presentation with published abstract)
pdf

Fiebrink, R., D. Trueman, C. Britt, M. Nagai, K. Kaczmarek, M. Early, M.R. Daniel, A. Hege, and P. R. Cook. “Toward understanding human-computer interactions in composing the instrument.” Proceedings of the International Computer Music Conference (ICMC), New York City, June 1–5, 2010. (paper)
pdf

2009

Fiebrink, R., P. R. Cook, and D. Trueman. “Play-along mapping of musical controllers.” Proceedings of the International Computer Music Conference (ICMC), Montreal, August 4–9, 2009. (demo with paper in proceedings)
pdf

Wang, G., G. Essl, J. Smith, S. Salazar, P. Cook, R. Hamilton, R. Fiebrink, J. Berger, D. Zhu, M. Ljungstrom, A. Berry, J. Wu, T. Kirk, E. Berger, and J. Segal. “Smule = Sonic Media: An intersection of the mobile, musical, and social”. Proceedings of the International Computer Music Conference (ICMC), Montreal, August 4–9, 2009. (paper)
pdf

Fiebrink, R., D. Trueman, and P. R. Cook. “A meta-instrument for interactive, on-the-fly machine learning.” Proceedings of New Interfaces for Musical Expression (NIME), Pittsburgh, June 4–6, 2009. (paper)
pdf

Fiebrink, R., D. Morris, and M. R. Morris. “Dynamic mapping of physical controls for tabletop groupware.” Proceedings of ACM CHI, Boston, April 4–9, 2009. (paper)
pdf

2008

Fiebrink, R., G. Wang, and P. R. Cook. “Foundations for on-the-fly learning in the ChucK programming language.” Proceedings of the International Computer Music Conference (ICMC), Belfast, August 16–21, 2008. (paper)
pdf
Winner of ICMC 2008 “Best Presentation” award, shared with Rob Hamilton.

Fiebrink, R., G. Wang, and P. R. Cook. “Support for MIR prototyping and real-time applications in the ChucK programming language.” Proceedings of the International Conference on Music Information Retrieval (ISMIR), Philadelphia, September 14–18, 2008. (paper)
pdf

2007

Fiebrink, R., G. Wang, and P. R. Cook. “Don’t forget the laptop: Using native input capabilities for expressive musical control.” Proceedings of New Interfaces for Musical Expression (NIME), New York City, USA, June 6–10, 2007. (paper)
pdf

Wang, G., R. Fiebrink, and P. R. Cook. “Combining Analysis and Synthesis in the ChucK Programming Language.” Proceedings of the International Computer Music Conference (ICMC), Copenhagen, Denmark, August 27–31, 2007. (paper)
pdf

DeCoro, C., Z. Barutcuoglu, and R. Fiebrink. “Bayesian aggregation for hierarchical genre classification.” Proceedings of the International Conference on Music Information Retrieval (ISMIR), Vienna, Austria, September 23–27, 2007. (paper)
pdf

2006

Fiebrink, R., and I. Fujinaga. “Feature selection pitfalls and music classification.” Proceedings of the International Conference on Music Information Retrieval (ISMIR), Victoria, Canada, October 8–12, 2006. (poster with paper in proceedings)
pdf

2005

Birnbaum, D., R. Fiebrink, J. Malloch, and M. M. Wanderley. “Towards a dimension space for musical devices.” Proceedings of the 5th International Conference on New Interfaces for Musical Expression (NIME), Vancouver, Canada, May 26–28, 2005. (poster with paper in proceedings)
pdf

McKay, C., D. McEnnis, R. Fiebrink, and I. Fujinaga. “ACE: A general-purpose classification ensemble optimization framework.” Proceedings of the International Computer Music Conference (ICMC), Barcelona, Spain, September 5–9, 2005. (poster with paper in proceedings)
pdf

Fiebrink, R., C. McKay, and I. Fujinaga. “Combining D2K and JGAP for efficient feature weighting for classification tasks in music information retrieval.” Proceedings of the International Conference on Music Information Retrieval (ISMIR), London, September 11–15, 2005. (poster with paper in proceedings)
pdf

McKay, C., R. Fiebrink, D. McEnnis, B. Li, and I. Fujinaga. “ACE: A framework for optimizing music classification.” Proceedings of the International Conference on Music Information Retrieval (ISMIR), London, September 11–15, 2005. (paper)
pdf

Sinyor, E., C. McKay, R. Fiebrink, D. McEnnis, and I. Fujinaga. “Beatbox classification using ACE.” Proceedings of the International Conference on Music Information Retrieval (ISMIR), London, September 11–15, 2005. (poster with paper in proceedings)
pdf