Publications

(2024). GraphMuse: A Library for Symbolic Music Graph Processing. In ISMIR.

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(2024). Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving. In ISMIR.

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(2024). SMUG-Explain: A Framework for Symbolic Music Graph Explanations. In SMC.

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(2024). Perception-Inspired Graph Convolution for Music Understanding Tasks. In IJCAI.

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(2023). Symbolic Music Representations for Classification Tasks: A Systematic Evaluation. In ISMIR.

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(2023). 8+8=4: Formalizing Time Units to Handle Symbolic Music Durations. In CMMR 2023.

(2023). Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset. In TISMIR.

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(2023). The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. In IJCAI.

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(2022). Cadence Detection in Symbolic Classical Music using Graph Neural Networks. In ISMIR.

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(2022). The match file format: Encoding Alignments between Scores and Performances. In MEC.

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(2022). partitura: A Python Package for Handling Symbolic Musical Data. In MEC.

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(2022). Towards Quantifying Differences in Expressive Piano Performances: Are Euclidean-like Distance Measures Enough?. In RPPW2021.

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(2020). Music genre descriptor for classification based on Tonnetz trajectories. In JIM.

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