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Michele Buccoli
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2020 – today
- 2023
- [j2]Katerina El Raheb
, Michele Buccoli, Massimiliano Zanoni, Akrivi Katifori, Aristotelis Kasomoulis, Augusto Sarti, Yannis E. Ioannidis:
Towards a general framework for the annotation of dance motion sequences. Multim. Tools Appl. 82(3): 3363-3395 (2023) - [c13]Marco Olivieri
Real-Time Multichannel Speech Separation and Enhancement Using a Beamspace-Domain-Based Lightweight CNN. ICASSP 2023: 1-5
2010 – 2019
- 2019
- [j1]Stefano Delle Monache
A Presence- and Performance-Driven Framework to Investigate Interactive Networked Music Learning Scenarios. Wirel. Commun. Mob. Comput. 2019: 4593853:1-4593853:20 (2019) - [c12]Massimiliano Zanoni, Michele Buccoli, Guglielmo Cassinelli, Giorgio Rinolfi:
Deep music on air. ARTECH 2019: 90:1-90:4 - [c11]Rosilde Tatiana Irene, Clara Borrelli
Automatic playlist generation using Convolutional Neural Networks and Recurrent Neural Networks. EUSIPCO 2019: 1-5 - 2018
- [c10]Anna Rizzo, Katerina El Raheb, Sarah Whatley, Rosa Maria Cisneros, Massimiliano Zanoni, Antonio Camurri, Vladimir Viro, Jean-Marc Matos, Stefano Piana, Michele Buccoli, Amalia Markatzi, Pablo Palacio, Oshri Even-Zohar, Augusto Sarti, Yannis E. Ioannidis, Edwin Morley-Fletcher:
WhoLoDancE: Whole-body Interaction Learning for Dance Education. CIRA@EuroMed 2018: 41-50 - [c9]Davide Fiocchi, Michele Buccoli, Massimiliano Zanoni, Fabio Antonacci, Augusto Sarti:
Beat Tracking using Recurrent Neural Network: A Transfer Learning Approach. EUSIPCO 2018: 1915-1919 - [c8]Luca Comanducci
Investigating Networked Music Performances in Pedagogical Scenarios for the InterMUSIC Project. FRUCT 2018: 119-127 - 2017
- [b1]Michele Buccoli:
Linking signal and semantic representations of musical content for music information retrieval. Polytechnic University of Milan, Italy, 2017 - [c7]Michele Buccoli, Bruno Di Giorgi, Massimiliano Zanoni, Fabio Antonacci, Augusto Sarti:
Using multi-dimensional correlation for matching and alignment of MoCap and video signals. MMSP 2017: 1-6 - 2016
- [c6]Michele Buccoli, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro, Davide Andreoletti:
Unsupervised feature learning for Music Structural Analysis. EUSIPCO 2016: 993-997 - [c5]Michele Buccoli, Massimiliano Zanoni, György Fazekas, Augusto Sarti, Mark B. Sandler:
A Higher-Dimensional Expansion of Affective Norms for English Terms for Music Tagging. ISMIR 2016: 316-322 - 2015
- [c4]Michele Buccoli, Massimiliano Zanoni, Francesco Setragno, Fabio Antonacci
An unsupervised approach to the semantic description of the sound quality of violins. EUSIPCO 2015: 2004-2008 - [c3]Michele Buccoli, Alessandro Gallo, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro:
A Dimensional Contextual Semantic Model for music description and retrieval. ICASSP 2015: 673-677 - 2014
- [c2]Michele Buccoli, Paolo Bestagini
Unsupervised feature learning for bootleg detection using deep learning architectures. WIFS 2014: 131-136 - 2013
- [c1]Michele Buccoli, Massimiliano Zanoni, Augusto Sarti, Stefano Tubaro:
A music search engine based on semantic text-based query. MMSP 2013: 254-259
Coauthor Index
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