Ace: a General-Purpose Classification Ensemble Optimization Framework. - Cory McKay; Daniel McEnnis; Rebecca Fiebrink; Ichiro Fujinaga (ICMC, 2005)

Combining D2K and JGAP for Efficient Feature Weighting for Classification Tasks in Music Information Retrieval. - Rebecca Fiebrink; Cory McKay; Ichiro Fujinaga (ISMIR, 2005)

ACE: A Framework for Optimizing Music Classification. - Cory McKay; Rebecca Fiebrink; Daniel McEnnis; Beinan Li; Ichiro Fujinaga (ISMIR, 2005)

Beatbox Classification Using ACE. - Elliot Sinyor; Cory McKay; Rebecca Fiebrink; Daniel McEnnis; Ichiro Fujinaga (ISMIR, 2005)

Towards a Dimension Space for Musical Artifacts. - David Birnbaum; Rebecca Fiebrink; Joseph W. Malloch; Marcelo M. Wanderley (NIME, 2005)

Feature Selection Pitfalls and Music Classification. - Rebecca Fiebrink; Ichiro Fujinaga (ISMIR, 2006)

Combining Analysis and synthesis in the Chuck Programming Language. - Ge Wang 002; Rebecca Fiebrink; Perry R. Cook (ICMC, 2007)

Bayesian Aggregation for Hierarchical Genre Classification. - Christopher DeCoro; Zafer Barutçuoglu; Rebecca Fiebrink (ISMIR, 2007)

Don't Forget the Laptop: Using Native Input Capabilities for Expressive Musical Control. - Rebecca Fiebrink; Ge Wang 002; Perry R. Cook (NIME, 2007)

Foundations for on-the-Fly Learning in the Chuck Programming Language. - Rebecca Fiebrink; Ge Wang 002; Perry R. Cook (ICMC, 2008)

Support for MIR Prototyping and Real-Time Applications in the ChucK Programming Language. - Rebecca Fiebrink; Ge Wang 002; Perry R. Cook (ISMIR, 2008)

Music Information Retrieval in ChucK; Real-Time Prototyping for MIR Systems & Performance. - Ge Wang 002; Rebecca Fiebrink; Perry R. Cook (ISMIR, 2008)

Dynamic mapping of physical controls for tabletop groupware. - Rebecca Fiebrink; Dan Morris 001; Meredith Ringel Morris (CHI, 2009)

Play-Along Mapping of Musical Controllers. - Rebecca Fiebrink; Perry R. Cook (ICMC, 2009)

Smule = Sonic Media: An Intersection of the Mobile, Musical, and Social. - Ge Wang 002; Georg Essl; Jeff Smith; Spencer Salazar; Perry R. Cook; Rob Hamilton 001; Rebecca Fiebrink; Jonathan Berger; David Zhu; Mattias Ljungstrom; Arnaud Berry; Jennifer Wu; et al. (ICMC, 2009)

A Meta-Instrument for Interactive, On-the-Fly Machine Learning. - Rebecca Fiebrink; Dan Trueman; Perry R. Cook (NIME, 2009)

PLOrk Beat Science 2.0. - Ge Wang 002; Rebecca Fiebrink (NIME, 2009)

Real-time interaction with supervised learning. - Rebecca Fiebrink (CHI Extended Abstracts, 2010)

Toward Understanding Human-Computer Interaction In Composing The Instrument. - Rebecca Fiebrink; Daniel Trueman; N. Cameron Britt; Michelle Nagai; Konrad Kaczmarek; Michael Early; M. R. Daniel; Anne Hege; Perry R. Cook (ICMC, 2010)

Human model evaluation in interactive supervised learning. - Rebecca Fiebrink; Perry R. Cook; Dan Trueman (CHI, 2011)

A Demonstration of Bow Articulation Recognition with Wekinator and K-Bow. - Margaret Schedel; Rebecca Fiebrink (ICMC, 2011)

Wekinating 000000Swan: Using Machine Learning to Create and Control Complex Artistic Systems. - Margaret Schedel; Phoenix Perry; Rebecca Fiebrink (NIME, 2011)

Virtual therapist: A Phantom robot-based haptic system for personalized post-surgery finger rehabilitation. - Zhe Xu 002; Rebecca Fiebrink; Yoky Matsuoka (ROBIO, 2012)

Expansion on Description-Based Design of Melodies. - Avneesh Sarwate; Rebecca Fiebrink (MUME@AIIDE, 2013)

Synchronous Data Flow Modeling for DMIs. - Danielle Bragg; Rebecca Fiebrink (NIME, 2013)

Cross-modal Sound Mapping Using Deep Learning. - Ohad Fried; Rebecca Fiebrink (NIME, 2013)

Towards Note-Level Prediction for Networked Music Performance. - Reid Oda; Adam Finkelstein; Rebecca Fiebrink (NIME, 2013)

Variator: A Creativity Support Tool for Music Composition. - Avneesh Sarwate; Rebecca Fiebrink (NIME, 2013)

SonNet: A Code Interface for Sonifying Computer Network Data. - KatieAnna Wolf; Rebecca Fiebrink (NIME, 2013)

Using machine learning to support pedagogy in the arts. - Dan Morris 001; Rebecca Fiebrink (Pers. Ubiquitous Comput., 2013)

BeatBox: end-user interactive definition and training of recognizers for percussive vocalizations. - Kyle Hipke; Michael Toomim; Rebecca Fiebrink; James Fogarty (AVI, 2014)

Improving data-driven design and exploration of digital musical instruments. - Christopher Patrick Laguna; Rebecca Fiebrink (CHI Extended Abstracts, 2014)

Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People. - Simon Katan; Mick Grierson; Rebecca Fiebrink (CHI, 2015)

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. - Rebecca Fiebrink (ICAD, 2015)

End-User Development of Sonifications using Soundscapes. - KatieAnna Wolf; Genna Gliner; Rebecca Fiebrink (ICAD, 2015)

Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning. - Elise Deitrick; R. Benjamin Shapiro; Matthew P. Ahrens; Rebecca Fiebrink; Paul D. Lehrman; Saad Farooq (ICER, 2015)

A Model for Data-Driven Sonification Using Soundscapes. - KatieAnna E. Wolf; Genna Gliner; Rebecca Fiebrink (IUI Companion, 2015)

Mallo: a distributed synchronized musical instrument designed for internet performance. - Zeyu Jin; Reid Oda; Adam Finkelstein; Rebecca Fiebrink (NIME, 2015)

Human-Centred Machine Learning. - 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; et al. (CHI Extended Abstracts, 2016)

Grab-and-Play Mapping: Creative Machine Learning Approaches for Musical Inclusion and Exploration. - Hugo Scurto; Rebecca Fiebrink (ICMC, 2016)

The Global Metronome: Absolute Tempo Sync For Networked Musical Performance. - Reid Oda; Rebecca Fiebrink (NIME, 2016)

BlockyTalky: A Physical and Distributed Computer Music Toolkit for Kids. - R. Benjamin Shapiro; Rebecca Fiebrink; Matthew P. Ahrens; Annie Kelly (NIME, 2016)

The Machine Learning Algorithm as Creative Musical Tool. - Rebecca Fiebrink; Baptiste Caramiaux (CoRR, 2016)

Interactive Machine Learning for End-User Innovation. - Francisco Bernardo 001; Michael Zbyszynski; Rebecca Fiebrink; Mick Grierson (AAAI Spring Symposia, 2017)

Mixed-Initiative Creative Interfaces. - Sebastian Deterding; Jonathan Hook; Rebecca Fiebrink; Marco Gillies; Jeremy Gow; Memo Akten; Gillian Smith 001; Antonios Liapis; Kate Compton (CHI Extended Abstracts, 2017)

Tangible Distributed Computer Music for Youth. - R. Benjamin Shapiro; Annie Kelly; Matthew P. Ahrens; Ben Johnson; Heather Politi; Rebecca Fiebrink (Comput. Music. J., 2017)

Machine Learning and Listening in Composition and Performance. - Rebecca Fiebrink; Baptiste Caramiaux (The Oxford Handbook of Algorithmic Music, 2018)

How machine learning impacts the undergraduate computing curriculum. - R. Benjamin Shapiro; Rebecca Fiebrink; Peter Norvig (Commun. ACM, 2018)

Introduction to the Special Issue on Human-Centered Machine Learning. - Rebecca Fiebrink; Marco Gillies (ACM Trans. Interact. Intell. Syst., 2018)

Machine Learning, Music and Creativity: An Interview with Rebecca Fiebrink. - Simon Holland; Rebecca Fiebrink (New Directions in Music and Human-Computer Interaction, 2019)

Emerging Perspectives in Human-Centered Machine Learning. - Gonzalo A. Ramos; Jina Suh; Soroush Ghorashi; Christopher Meek; Richard Banks; Saleema Amershi; Rebecca Fiebrink; Alison Smith-Renner; Gagan Bansal (CHI Extended Abstracts, 2019)

Interactive Machine Learning for More Expressive Game Interactions. - Carlos González Díaz; Phoenix Perry; Rebecca Fiebrink (CoG, 2019)

Intelligent music interfaces for listening and creation. - Peter Knees; Markus Schedl; Rebecca Fiebrink (IUI Companion, 2019)

Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities. - Samuel Thompson Parke-Wolfe; Hugo Scurto; Rebecca Fiebrink (NIME, 2019)

From rituals to magic: Interactive art and HCI of the past, present, and future. - Myounghoon Jeon 001; Rebecca Fiebrink; Ernest A. Edmonds; Damith C. Herath (Int. J. Hum. Comput. Stud., 2019)

Machine Learning Education for Artists, Musicians, and Other Creative Practitioners. - Rebecca Fiebrink (ACM Trans. Comput. Educ., 2019)

Introduction to the Special Section: Launching an Agenda for Research on Learning Machine Learning. - R. Benjamin Shapiro; Rebecca Fiebrink (ACM Trans. Comput. Educ., 2019)

Personalised interactive sonification of musical performance data. - KatieAnna E. Wolf; Rebecca Fiebrink (J. Multimodal User Interfaces, 2019)

A Grounded Analysis of Player-Described Board Game Immersion. - Timea Farkas; Sarah Wiseman; Paul A. Cairns; Rebecca Fiebrink (CHI PLAY, 2020)

Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. - Gabriel Vigliensoni; Louis McCallum; Rebecca Fiebrink (ICCC, 2020)

Movement interaction design for immersive media using interactive machine learning. - Nicola Plant; Ruth Gibson; Carlos González Díaz; Bruno Martelli; Michael Zbyszynski; Rebecca Fiebrink; Marco Gillies; Clarice Hilton; Phoenix Perry (MOCO, 2020)

Reflections on Eight Years of Instrument Creation with Machine Learning. - Rebecca Fiebrink; Laetitia Sonami (NIME, 2020)

Learning to See: You Are What You See. - Memo Akten; Rebecca Fiebrink; Mick Grierson (CoRR, 2020)

Deep Meditations: Controlled navigation of latent space. - Memo Akten; Rebecca Fiebrink; Mick Grierson (CoRR, 2020)

Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology. - Francisco Bernardo 001; Michael Zbyszynski; Mick Grierson; Rebecca Fiebrink (Frontiers Artif. Intell., 2020)

MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction. - Vesna G. Djokic; Ekaterina Shutova; Rebecca Fiebrink (CHI Extended Abstracts, 2021)

Interactive Machine Learning for Embodied Interaction Design: A tool and methodology. - Nicola Plant; Clarice Hilton; Marco Gillies; Rebecca Fiebrink; Phoenix Perry; Carlos González Díaz; Ruth Gibson; Bruno Martelli; Michael Zbyszynski (TEI, 2021)

InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media. - Clarice Hilton; Nicola Plant; Carlos González Díaz; Phoenix Perry; Ruth Gibson; Bruno Martelli; Michael Zbyszynski; Rebecca Fiebrink; Marco Gillies (VRST, 2021)

Making Up 3D Bodies: Artistic and Serendipitous Modeling of Digital Human Figures. - Kiona Hagen Niehaus; Rebecca Fiebrink (Proc. ACM Comput. Graph. Interact. Tech., 2021)

The Effects of a Soundtrack on Board Game Player Experience. - Timea Farkas; Alena Denisova; Sarah Wiseman; Rebecca Fiebrink (CHI, 2022)

Embodying an Interactive AI for Dance Through Movement Ideation. - Benedikte Wallace; Clarice Hilton; Kristian Nymoen; Jim Torresen; Charles Patrick Martin; Rebecca Fiebrink (Creativity & Cognition, 2023)

Steering latent audio models through interactive machine learning. - Gabriel Vigliensoni; Rebecca Fiebrink (ICCC, 2023)

Imagination Tool: Accessible AI Image Generation Software to Support Child Ideation and Creative Expression. - Melis Meriç; Seamus White; Alba Suárez Zapico; Zelda Yanovich; Bethany Koby-Hirschmann; Rebecca Fiebrink (ICCC, 2024)

Alleviating Skin Hunger in Older Adults: The Convergence of Creative VR and Robotic Sensory Cushions. - Ziwei Zhao; Stella Doukianou; Rebecca Fiebrink; Vali Lalioti (MetroXRAINE, 2024)

From Individual Discomfort to Collective Solidarity: Choreographic Exploration of Extractivist Technology. - Joana Chicau; Kristina Popova; Rebecca Fiebrink (TEI, 2024)

How Boardgame Players Imagine Interacting With Technology. - Timea Farkas; Nathan Gerard Jayy Hughes; Rebecca Fiebrink (Proc. ACM Hum. Comput. Interact., 2024)

Designing Counter-Choreographies: Embodied Choreographic Approaches for Critical Examination of Online Tracking. - Joana Chicau; Sarah Fdili Alaoui; Anne Lee Steele; Hazel Ryan; Yadira Sánchez; Romayne Gadelrab; Caroline Sinders; Mukul Patel; Gavin Starks; John Fass; Rebecca Fiebrink (Creativity & Cognition, 2025)

Interactive Movement-to-Audio with Pre-Trained Neural Networks. - Joseph Meyer; Nick Bryan-Kinns; Sarah Fdili Alaoui; Mick Grierson; Rebecca Fiebrink (Creativity & Cognition, 2025)

Human-Computer Counter-Choreographies: Raising Awareness of Data Tracking through Live Coding. - Joana Chicau; Sarah Fdili Alaoui; John Fass; Rebecca Fiebrink (CHI, 2025)

Prototyping by Moving for Virtual Reality. - Nicola Plant; Clarice Hilton; Carlos González Díaz; Rebecca Fiebrink; Phoenix Perry; Ruth Gibson; Bruno Martelli; Marco Gillies (VR Workshops, 2025)