Rebecca Fiebrink

发表

Introduction to the Special Section

R. Benjamin Shapiro, Rebecca Fiebrink, R. B. Shapiro, 2019, ACM Trans. Comput. Educ..

Reflections on Eight Years of Instrument Creation with Machine Learning

Rebecca Fiebrink, Laetitia Sonami, R. Fiebrink, 2020, NIME.

Beatbox Classification Using ACE

Ichiro Fujinaga, Cory McKay, Rebecca Fiebrink, 2005, ISMIR.

Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities

Rebecca Fiebrink, Hugo Scurto, Samuel Thompson Parke-Wolfe, 2019, NIME.

Creative Diversity: Expanding Software for 3D Human Avatar Design

Rebecca Fiebrink, Kiona Hagen Niehaus, 2017 .

Learning to see: you are what you see

Rebecca Fiebrink, Mick Grierson, Memo Akten, 2019, ACM SIGGRAPH 2019 Art Gallery.

MalLo: A Distributed, Synchronized Instrument for Internet Music Performance

Adam Finkelstein, Zeyu Jin, Rebecca Fiebrink, 2015, NIME 2015.

Mallo: a distributed synchronized musical instrument designed for internet performance

Adam Finkelstein, Zeyu Jin, Rebecca Fiebrink, 2015, NIME.

Real-time interaction with supervised learning

Rebecca Fiebrink, 2010, CHI EA '10.

From rituals to magic: Interactive art and HCI of the past, present, and future

Myounghoon Jeon, Damith C. Herath, Ernest Edmonds, 2019, Int. J. Hum. Comput. Stud..

Play-Along Mapping of Musical Controllers

Perry R. Cook, Rebecca Fiebrink, 2009, ICMC.

SonNet: A Code Interface for Sonifying Computer Network Data

Rebecca Fiebrink, KatieAnna Wolf, 2013, NIME.

Wekinating 000000Swan: Using Machine Learning to Create and Control Complex Artistic Systems

Margaret Schedel, Rebecca Fiebrink, Phoenix Perry, 2011, NIME.

Support for MIR Prototyping and Real-Time Applications in the ChucK Programming Language

Perry R. Cook, Ge Wang, Rebecca Fiebrink, 2008, ISMIR.

Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology

Francisco Bernardo, Rebecca Fiebrink, Mick Grierson, 2020, Frontiers in Artificial Intelligence.

Evaluation of Rich and Explicit Feedback for Exploratory Search

Noriko Kando, Rebecca Fiebrink, Nicolas Collignon, 2019 .

Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data

Rebecca Fiebrink, Gabriel Vigliensoni, Louis McCallum, 2020, ICCC.

Real-time human interaction with supervised learning algorithms for music composition and performance

Perry R. Cook, Rebecca Fiebrink, P. Cook, 2011 .

The Global Metronome: Absolute Tempo Sync For Networked Musical Performance

Rebecca Fiebrink, Reid Oda, R. Fiebrink, 2016, NIME.

Tangible Distributed Computer Music for Youth

R. Benjamin Shapiro, Rebecca Fiebrink, Annie Kelly, 2017, Computer Music Journal.

Human-Centred Machine Learning

Wendy E. Mackay, Bongshin Lee, Todd Kulesza, 2016, CHI Extended Abstracts.

Variator: A Creativity Support Tool for Music Composition

Rebecca Fiebrink, Avneesh Sarwate, 2013, NIME.

BeatBox: end-user interactive definition and training of recognizers for percussive vocalizations

James Fogarty, Rebecca Fiebrink, Michael Toomim, 2014, AVI.

Virtual therapist: A Phantom robot-based haptic system for personalized post-surgery finger rehabilitation

Rebecca Fiebrink, Yoky Matsuoka, Zhe Xu, 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Smule = Sonic Media: An Intersection of the Mobile, Musical, and Social

Jonathan Berger, Perry R. Cook, Georg Essl, 2009, ICMC.

Towards Note-Level Prediction for Networked Music Performance

Adam Finkelstein, Rebecca Fiebrink, Reid Oda, 2013, NIME.

Interactive Machine Learning for End-User

Michael Zbyszynski, Rebecca Fiebrink, Mick Grierson, 2017 .

Grab-and-Play Mapping: Creative Machine Learning Approaches for Musical Inclusion and Exploration

Rebecca Fiebrink, Hugo Scurto, 2016, ICMC.

Spatial Sound - Interactive Sound (Keynotes - the 21st International Conference on Auditory Display (ICAD 2015)

Frank Melchior, Stephen Barrass, Rebecca Fiebrink, 2015 .

Wekinator 2.0

Rebecca Fiebrink, 2015 .

Using Distributed Cognition Theory to Analyze Collaborative Computer Science Learning

R. Benjamin Shapiro, Rebecca Fiebrink, Paul D. Lehrman, 2015, ICER.

Emerging Perspectives in Human-Centered Machine Learning

Richard Banks, Christopher Meek, Rebecca Fiebrink, 2019, CHI Extended Abstracts.

Cross-modal Sound Mapping Using Deep Learning

Rebecca Fiebrink, Ohad Fried, R. Fiebrink, 2013, NIME.

A Meta-Instrument for Interactive, On-the-Fly Machine Learning

Perry R. Cook, Rebecca Fiebrink, Dan Trueman, 2009, NIME.

End-User Development of Sonifications using Soundscapes

Rebecca Fiebrink, Genna Gliner, KatieAnna Wolf, 2015, ICAD.

Human model evaluation in interactive supervised learning

Perry R. Cook, Rebecca Fiebrink, Dan Trueman, 2011, CHI.

2005: Towards a Dimension Space for Musical Devices

Marcelo M. Wanderley, Joseph W. Malloch, Rebecca Fiebrink, 2017 .

A Grounded Analysis of Player-Described Board Game Immersion

Rebecca Fiebrink, Paul Cairns, Sarah Wiseman, 2020, CHI PLAY.

Synchronous Data Flow Modeling for DMIs

Rebecca Fiebrink, Danielle Bragg, 2013, NIME.

The Roman de Fauvel as Synthetic Digital Object

Anna Zayaruznaya, Rebecca Fiebrink, 2015 .

Feature Selection Pitfalls and Music Classification

Ichiro Fujinaga, Rebecca Fiebrink, R. Fiebrink, 2006, ISMIR.

Towards a Dimension Space for Musical Artifacts

Marcelo M. Wanderley, Joseph W. Malloch, Rebecca Fiebrink, 2005, NIME.

Using Interactive Machine Learning to Support Interface Development Through Workshops with Disabled People

Rebecca Fiebrink, Mick Grierson, Simon Katan, 2015, CHI.

Intelligent music interfaces for listening and creation

Peter Knees, Markus Schedl, Rebecca Fiebrink, 2019, IUI Companion.

Proceedings of the 24th International Conference on New Interfaces for Musical Expression

Atau Tanaka, Baptiste Caramiaux, Rebecca Fiebrink, 2014 .

A Demonstration of Bow Articulation Recognition with Wekinator and K-Bow

Margaret Schedel, Rebecca Fiebrink, 2011, ICMC.

The Machine Learning Algorithm as Creative Musical Tool pdf

Baptiste Caramiaux, Rebecca Fiebrink, R. Fiebrink, 2016, ArXiv.

Towards Humane Feedback Mechanisms in Exploratory Search

Noriko Kando, Rebecca Fiebrink, Nicolas Collignon, 2019 .

ACE: A Framework for Optimizing Music Classification

Ichiro Fujinaga, Cory McKay, Rebecca Fiebrink, 2005, ISMIR.

Interactive Machine Learning for More Expressive Game Interactions

Rebecca Fiebrink, Phoenix Perry, Carlos Gonzales Diaz, 2019, 2019 IEEE Conference on Games (CoG).

Machine Learning, Music and Creativity: An Interview with Rebecca Fiebrink

Simon Holland, Rebecca Fiebrink, 2019, New Directions in Music and Human-Computer Interaction.

User-Centred Design Actions for Lightweight Evaluation of an Interactive Machine Learning Toolkit

Francisco Bernardo, Rebecca Fiebrink, Mick Grierson, 2018 .

Supporting Feature Engineering in End-User Machine Learning

Rebecca Fiebrink, Louis McCallum, 2019 .

Movement interaction design for immersive media using interactive machine learning

Marco Gillies, Rebecca Fiebrink, Bruno Martelli, 2020, MOCO.

A Model for Data-Driven Sonification Using Soundscapes

Rebecca Fiebrink, Genna Gliner, KatieAnna Wolf, 2015, IUI Companion.

Deep Meditations: Controlled navigation of latent space pdf

Rebecca Fiebrink, Mick Grierson, Memo Akten, 2020, ArXiv.

Bayesian Aggregation for Hierarchical Genre Classification

Christopher DeCoro, Rebecca Fiebrink, Zafer Barutçuoglu, 2007, ISMIR.

Foundations for on-the-Fly Learning in the Chuck Programming Language

Perry R. Cook, Ge Wang, Rebecca Fiebrink, 2009, ICMC.

Towards a dimension space for musical devices

Marcelo M. Wanderley, Rebecca Fiebrink, Joseph Malloch, 2005 .

Toward Understanding Human-Computer Interaction In Composing The Instrument

Perry R. Cook, Rebecca Fiebrink, Dan Trueman, 2010, ICMC.

Introduction to the Special Issue on Human-Centered Machine Learning

Marco Gillies, Rebecca Fiebrink, 2018, ACM Trans. Interact. Intell. Syst..

BlockyTalky: A Physical and Distributed Computer Music Toolkit for Kids

R. Benjamin Shapiro, Rebecca Fiebrink, Annie Kelly, 2016, NIME.

Interactive Machine Learning for End-User Innovation

Francisco Bernardo, Michael Zbyszynski, Rebecca Fiebrink, 2016, AAAI Spring Symposia.

Combining D2K and JGAP for Efficient Feature Weighting for Classification Tasks in Music Information Retrieval

Ichiro Fujinaga, Cory McKay, Rebecca Fiebrink, 2005, ISMIR.

Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation

Rebecca Fiebrink, R. Fiebrink, 2017 .

Personalised interactive sonification of musical performance data

Rebecca Fiebrink, KatieAnna E. Wolf, 2019, Journal on Multimodal User Interfaces.

The Wekinator: Software for using machine learning to build real-time interactive systems

Perry R. Cook, Rebecca Fiebrink, Dan Trueman, 2011 .

Combining Analysis and synthesis in the Chuck Programming Language

Perry R. Cook, Ge Wang, Rebecca Fiebrink, 2007, ICMC.

How machine learning impacts the undergraduate computing curriculum

Peter Norvig, R. Benjamin Shapiro, Rebecca Fiebrink, 2018, Commun. ACM.

PLOrk Beat Science 2.0

Ge Wang, Rebecca Fiebrink, 2009, NIME.

Machine Learning and Listening in Composition and Performance

Baptiste Caramiaux, Rebecca Fiebrink, 2018, The Oxford Handbook of Algorithmic Music.

Dynamic mapping of physical controls for tabletop groupware

Dan Morris, Meredith Ringel Morris, Rebecca Fiebrink, 2009, CHI.

Expansion on Description-Based Design of Melodies

Rebecca Fiebrink, Avneesh Sarwate, R. Fiebrink, 2021, MUME@AIIDE.

Music Information Retrieval in ChucK; Real-Time Prototyping for MIR Systems & Performance

Perry R. Cook, Ge Wang, Rebecca Fiebrink, 2008, ISMIR.

Don't forget the laptop: using native input capabilities for expressive musical control

Perry R. Cook, Ge Wang, Rebecca Fiebrink, 2007, NIME '07.

BlockyTalky: Tangible Distributed Computer Music for Kids

Benjamin Johnson, R. Benjamin Shapiro, Rebecca Fiebrink, 2017 .

Improving data-driven design and exploration of digital musical instruments

Rebecca Fiebrink, Christopher Patrick Laguna, 2014, CHI Extended Abstracts.

Ace: a General-Purpose Classification Ensemble Optimization Framework

Ichiro Fujinaga, Cory McKay, Rebecca Fiebrink, 2005, ICMC.

Supplementary materials for "A Model for Data-Driven Sonification Using Soundscapes," a poster presented at the ACM Intelligent User Interfaces Conference in 2015.

Rebecca Fiebrink, Genna Gliner, KatieAnna Wolf, 2015 .

Mixed-Initiative Creative Interfaces

Antonios Liapis, Jonathan Hook, Gillian Smith, 2017, CHI Extended Abstracts.

Using machine learning to support pedagogy in the arts

Dan Morris, Rebecca Fiebrink, Dan Morris, 2013, Personal and Ubiquitous Computing.

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, 2015, ICAD.

Machine Learning Education for Artists, Musicians, and Other Creative Practitioners

Rebecca Fiebrink, R. Fiebrink, 2019, ACM Trans. Comput. Educ..

Interactive Machine Learning for Embodied Interaction Design: A tool and methodology

Michael Zbyszynski, Marco Gillies, Rebecca Fiebrink, 2021, TEI.

MetaVR: Understanding metaphors in the mind and relation to emotion through immersive, spatial interaction

Ekaterina Shutova, Rebecca Fiebrink, Vesna G. Djokic, 2021, CHI Extended Abstracts.

InteractML: Making machine learning accessible for creative practitioners working with movement interaction in immersive media

Michael Zbyszynski, Marco Gillies, Rebecca Fiebrink, 2021, VRST.

Making Up 3D Bodies

Rebecca Fiebrink, Kiona Hagen Niehaus, 2021, Proc. ACM Comput. Graph. Interact. Tech..