Gabriel Vigliensoni
Gabriel Vigliensoni
Concordia University
Geverifieerd e-mailadres voor vigliensoni.com - Homepage
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Geciteerd door
Evaluating the Genre Classification Performance of Lyrical Features Relative to Audio, Symbolic and Cultural Features.
C McKay, JA Burgoyne, J Hockman, JBL Smith, G Vigliensoni, I Fujinaga
ISMIR, 213-218, 2010
Deep neural networks for document processing of music score images
J Calvo-Zaragoza, FJ Castellanos, G Vigliensoni, I Fujinaga
Applied Sciences 8 (5), 654, 2018
Pixel-wise binarization of musical documents with convolutional neural networks
J Calvo-Zaragoza, G Vigliensoni, I Fujinaga
2017 Fifteenth IAPR international conference on machine vision applications …, 2017
The music listening histories dataset.
G Vigliensoni, I Fujinaga
ISMIR, 96-102, 2017
Automatic Music Recommendation Systems: Do Demographic, Profiling, and Contextual Features Improve Their Performance?.
G Vigliensoni, I Fujinaga
ISMIR, 94-100, 2016
A Quantitative Comparison of Position Trackers for the Development of a Touch-less Musical Interface.
G Vigliensoni, MM Wanderley
NIME, 2012
Optical Measure Recognition in Common Music Notation.
G Vigliensoni, G Burlet, I Fujinaga
ISMIR, 125-130, 2013
Automatic pitch recognition in printed square-note notation
G Vigliensoni, JA Burgoyne, A Hankinson, I Fujinaga
Proc. ISMIR, Florida, USA, 2011
Encoding matters
N Nápoles, G Vigliensoni, I Fujinaga
Proceedings of the 5th International Conference on Digital Libraries for …, 2018
Document Analysis of Music Score Images with Selectional Auto-Encoders.
FJ Castellanos, J Calvo-Zaragoza, G Vigliensoni, I Fujinaga
ISMIR, 256-263, 2018
Creating a large-scale searchable digital collection from printed music materials
A Hankinson, JA Burgoyne, G Vigliensoni, I Fujinaga
Proceedings of the 21st International Conference on World Wide Web, 903-908, 2012
Digital Document Image Retrieval Using Optical Music Recognition.
A Hankinson, JA Burgoyne, G Vigliensoni, A Porter, J Thompson, W Liu, ...
ISMIR, 577-582, 2012
Creating latent spaces for modern music genre rhythms using minimal training data
G Vigliensoni, L McCallum, R Fiebrink
Goldsmiths, University of London, 2020
One-Step Detection of Background, Staff Lines, and Symbols in Medieval Music Manuscripts with Convolutional Neural Networks.
J Calvo-Zaragoza, G Vigliensoni, I Fujinaga
ISMIR, 724-730, 2017
Pixel. js: Web-based pixel classification correction platform for ground truth creation
Z Saleh, K Zhang, J Calvo-Zaragoza, G Vigliensoni, I Fujinaga
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
Soundcatcher: explorations in audio-looping and time-freezing using an open-air gestural controller
G Vigliensoni, MM Wanderley
ICMC, 2010
A Small-Data Mindset for Generative AI Creative Work
G Vigliensoni, P Perry, R Fiebrink
Neon2: A Verovio-based square-notation editor
J Regimbal, Z McLennan, G Vigliensoni, A Tran, I Fujinaga
Music Encoding Conference, 2019
Document analysis for music scores via machine learning
J Calvo-Zaragoza, G Vigliensoni, I Fujinaga
Proceedings of the 3rd International workshop on Digital Libraries for …, 2016
An Environment for Machine Pedagogy: Learning How to Teach Computers to Read Music.
G Vigliensoni, J Calvo-Zaragoza, I Fujinaga
IUI Workshops, 2018
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Artikelen 1–20