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2020 – today
- 2024
[c7]Gilberto Bernardes
, Nádia Carvalho:
Modal Pitch Space: A Computational Model of Melodic Pitch Attraction in Folk Music. MCM 2024: 183-194- [c6]Nádia Carvalho, Gilberto Bernardes:
Fourier (Common-Tone) Phase Spaces are in Tune with Variational Autoencoders' Latent Space. MCM 2024: 305-316 - [c5]Juan José Navarro-Cáceres, Nádia Carvalho, Gilberto Bernardes, Diego M. Jiménez-Bravo, María Navarro-Cáceres:
Exploring Mode Identification in Irish Folk Music with Unsupervised Machine Learning and Template-Based Techniques. MCM 2024: 412-420 - 2023
- [c4]Nádia Carvalho, Daniel Diogo, Gilberto Bernardes:
Computational Similarity of Portuguese Folk Melodies Using Hierarchical Reduction. DLfM 2023: 22-29 - [i1]Nádia Carvalho, Gilberto Bernardes:
Exploring Latent Spaces of Tonal Music using Variational Autoencoders. CoRR abs/2311.03621 (2023) - 2021
- [c3]Nádia Carvalho, Sara Gonzalez-Gutierrez, Javier Merchán Sánchez-Jara, Gilberto Bernardes, María Navarro-Cáceres:
Encoding, Analysing and Modeling I-Folk: A New Database of Iberian Folk Music. DLfM 2021: 75-83 - [c2]Nádia Carvalho, Gilberto Bernardes:
SyVMO: Synchronous Variable Markov Oracle for Modeling and Predicting Multi-part Musical Structures. EvoMUSART 2021: 37-51 - 2020
- [c1]Nádia Carvalho, Gilberto Bernardes:
Towards balanced tunes: A review of symbolic music representations and their hierarchical modeling. ICCC 2020: 236-242
Coauthor Index
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