Soundcatcher: Explorations In Audio-Looping And Time-Freezing Using An Open-Air Gestural Controller. - Gabriel Vigliensoni; Marcelo M. Wanderley (ICMC, 2010)

Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features. - Cory McKay; John Ashley Burgoyne; Jason Hockman; Jordan B. L. Smith; Gabriel Vigliensoni; Ichiro Fujinaga (ISMIR, 2010)

Using jWebMiner 2.0 to Improve Music Classification Performance by Combining Different Types of Features Mined from the Web. - Gabriel Vigliensoni; Cory McKay; Ichiro Fujinaga (ISMIR, 2010)

Automatic Pitch Detection in Printed Square Notation. - Gabriel Vigliensoni; John Ashley Burgoyne; Andrew Hankinson; Ichiro Fujinaga (ISMIR, 2011)

Digital Document Image Retrieval Using Optical Music Recognition. - Andrew Hankinson; John Ashley Burgoyne; Gabriel Vigliensoni; Alastair Porter; Jessica Thompson 001; Wendy Liu; Remi Chiu; Ichiro Fujinaga (ISMIR, 2012)

A Quantitative Comparison of Position Trackers for the Development of a Touch-less Musical Interface. - Gabriel Vigliensoni; Marcelo M. Wanderley (NIME, 2012)

Creating a large-scale searchable digital collection from printed music materials. - Andrew Hankinson; John Ashley Burgoyne; Gabriel Vigliensoni; Ichiro Fujinaga (WWW (Companion Volume), 2012)

Optical Measure Recognition in Common Music Notation. - Gabriel Vigliensoni; Gregory Burlet; Ichiro Fujinaga (ISMIR, 2013)

Musicbrainz for The World: The Chilean Experience. - Gabriel Vigliensoni; John Ashley Burgoyne; Ichiro Fujinaga (ISMIR, 2013)

Identifying time zones in a large dataset of music listening logs. - Gabriel Vigliensoni; Ichiro Fujinaga (SoMeRA@SIGIR, 2014)

Document Analysis for Music Scores via Machine Learning. - Jorge Calvo-Zaragoza; Gabriel Vigliensoni; Ichiro Fujinaga (DLfm, 2016)

Automatic Music Recommendation Systems: Do Demographic, Profiling, and Contextual Features Improve Their Performance?. - Gabriel Vigliensoni; Ichiro Fujinaga (ISMIR, 2016)

Staff-Line Detection on Grayscale Images with Pixel Classification. - Jorge Calvo-Zaragoza; Gabriel Vigliensoni; Ichiro Fujinaga (IbPRIA, 2017)

Music Document Layout Analysis through Machine Learning and Human Feedback. - Jorge Calvo-Zaragoza; Ke Zhang; Zeyad Saleh; Gabriel Vigliensoni; Ichiro Fujinaga (GREC@ICDAR, 2017)

Pixel.js: Web-Based Pixel Classification Correction Platform for Ground Truth Creation. - Zeyad Saleh; Ke Zhang; Jorge Calvo-Zaragoza; Gabriel Vigliensoni; Ichiro Fujinaga (GREC@ICDAR, 2017)

Pixelwise classification for music document analysis. - Jorge Calvo-Zaragoza; Gabriel Vigliensoni; Ichiro Fujinaga (IPTA, 2017)

GRAIL: Database Linking Music Metadata Across Artist, Release, and Track. - Michael D. Barone; Kurt Dacosta; Gabriel Vigliensoni; Matthew H. Woolhouse (DLfM, 2017)

One-Step Detection of Background, Staff Lines, and Symbols in Medieval Music Manuscripts with Convolutional Neural Networks. - Jorge Calvo-Zaragoza; Gabriel Vigliensoni; Ichiro Fujinaga (ISMIR, 2017)

The Music Listening Histories Dataset. - Gabriel Vigliensoni; Ichiro Fujinaga (ISMIR, 2017)

Pixel-wise binarization of musical documents with convolutional neural networks. - Jorge Calvo-Zaragoza; Gabriel Vigliensoni; Ichiro Fujinaga (MVA, 2017)

Encoding matters. - Néstor Nápoles; Gabriel Vigliensoni; Ichiro Fujinaga (DLfm, 2018)

Document Analysis of Music Score Images with Selectional Auto-Encoders. - Francisco J. Castellanos 001; Jorge Calvo-Zaragoza; Gabriel Vigliensoni; Ichiro Fujinaga (ISMIR, 2018)

An Environment for Machine Pedagogy: Learning How to Teach Computers to Read Music. - Gabriel Vigliensoni; Jorge Calvo-Zaragoza; Ichiro Fujinaga (IUI Workshops, 2018)

The Art of Teaching Computers: The SIMSSA Optical Music Recognition Workflow System. - Ichiro Fujinaga; Gabriel Vigliensoni (EUSIPCO, 2019)

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

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

Explainable AI for the Arts 2 (XAIxArts2). - Nick Bryan-Kinns; Corey Ford 002; Shuoyang Zheng; Helen Kennedy; Alan Chamberlain; Makayla Lewis; Drew Hemment; Zijin Li; Qiong Wu; Lanxi Xiao; Gus G. Xia; Jeba Rezwana; et al. (Creativity & Cognition, 2024)

Proceedings of The second international workshop on eXplainable AI for the Arts (XAIxArts). - Nick Bryan-Kinns; Corey Ford 002; Shuoyang Zheng; Helen Kennedy; Alan Chamberlain; Makayla Lewis; Drew Hemment; Zijin Li; Qiong Wu; Lanxi Xiao; Gus Xia; Jeba Rezwana; et al. (CoRR, 2024)

Explainability Paths for Sustained Artistic Practice with AI. - Austin Tecks; Thomas Peschlow; Gabriel Vigliensoni (CoRR, 2024)

Explainable AI for the Arts 3 (XAIxArts3). - Corey Ford 002; Elizabeth Wilson; Shuoyang Zheng; Gabriel Vigliensoni; Jeba Rezwana; Lanxi Xiao; Michael Paul Clemens; Makayla Lewis; Drew Hemment; Alan Chamberlain; Helen Kennedy; Nick Bryan-Kinns (Creativity & Cognition, 2025)

XAIxArts Manifesto: Explainable AI for the Arts. - Nick Bryan-Kinns; Shuoyang Zheng; Francisco Castro 001; Makayla Lewis; Jia-Rey Chang; Gabriel Vigliensoni; Terence Broad; Michael Paul Clemens; Elizabeth Wilson (CHI Extended Abstracts, 2025)

XAIxArts Manifesto: Explainable AI for the Arts. - Nick Bryan-Kinns; Shuoyang Jasper Zheng; Francisco Castro 001; Makayla Lewis; Jia-Rey Chang; Gabriel Vigliensoni; Terence Broad; Michael Paul Clemens; Elizabeth Wilson (CoRR, 2025)