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Francesco Foscarin
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2020 – today
- 2024
- [c9]Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer:
Perception-Inspired Graph Convolution for Music Understanding Tasks. IJCAI 2024: 7681-7689 - [i13]Emmanouil Karystinaios
, Francesco Foscarin, Gerhard Widmer:
Perception-Inspired Graph Convolution for Music Understanding Tasks. CoRR abs/2405.09224 (2024) - [i12]Emmanouil Karystinaios
SMUG-Explain: A Framework for Symbolic Music Graph Explanations. CoRR abs/2405.09241 (2024) - [i11]Francesco Foscarin, Emmanouil Karystinaios, Eita Nakamura, Gerhard Widmer:
Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving. CoRR abs/2407.21030 (2024) - [i10]Francesco Foscarin, Jan Schlüter, Gerhard Widmer:
Beat this! Accurate beat tracking without DBN postprocessing. CoRR abs/2407.21658 (2024) - [i9]Florian Schmid, Tobias Morocutti, Francesco Foscarin, Jan Schlüter, Paul Primus, Gerhard Widmer:
Effective Pre-Training of Audio Transformers for Sound Event Detection. CoRR abs/2409.09546 (2024) - 2023
- [j2]Silvan David Peter
Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset. Trans. Int. Soc. Music. Inf. Retr. 6(1): 27-42 (2023) - [c8]Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer:
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem. IJCAI 2023: 3866-3874 - [c7]Carlos Cancino Chacón, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Gerhard Widmer:
The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. IJCAI 2023: 5779-5787 - [c6]Francesco Foscarin, Daniel Harasim, Gerhard Widmer:
Predicting Music Hierarchies With a Graph-Based Neural Decoder. ISMIR 2023: 425-432 - [i8]Carlos Cancino Chacón, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Nimrod Varga, Gerhard Widmer:
The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. CoRR abs/2304.12939 (2023) - [i7]Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer:
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem. CoRR abs/2304.14848 (2023) - [i6]Francesco Foscarin, Daniel Harasim, Gerhard Widmer:
Predicting Music Hierarchies with a Graph-Based Neural Decoder. CoRR abs/2306.16955 (2023) - [i5]Emmanouil Karystinaios
8+8=4: Formalizing Time Units to Handle Symbolic Music Durations. CoRR abs/2310.14952 (2023) - 2022
- [c5]Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer:
Concept-Based Techniques for "Musicologist-Friendly" Explanations in Deep Music Classifiers. ISMIR 2022: 876-883 - [i4]Carlos Cancino Chacón, Silvan David Peter, Emmanouil Karystinaios
Partitura: A Python Package for Symbolic Music Processing. CoRR abs/2206.01071 (2022) - [i3]Francesco Foscarin, Emmanouil Karystinaios
The match file format: Encoding Alignments between Scores and Performances. CoRR abs/2206.01104 (2022) - [i2]Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer:
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier. CoRR abs/2208.12485 (2022) - 2021
- [j1]Francesco Foscarin, Philippe Rigaux, Virginie Thion:
Data quality assessment in digital score libraries. Int. J. Digit. Libr. 22(2): 159-173 (2021) - [c4]Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta:
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. ISMIR 2021: 197-204 - [i1]Francesco Foscarin, Nicolas Audebert, Raphaël Fournier-S'niehotta:
PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. CoRR abs/2107.14009 (2021) - 2020
- [b1]Francesco Foscarin:
The Musical Score: a challenging goal for automatic music transcription. (La partition musicale: un objectif ambitieux pour la transcription automatique de la musique). Conservatoire national des arts et métiers, Paris, France, 2020 - [c3]Francesco Foscarin, Andrew McLeod, Philippe Rigaux, Florent Jacquemard, Masahiko Sakai:
ASAP: a dataset of aligned scores and performances for piano transcription. ISMIR 2020: 534-541
2010 – 2019
- 2019
- [c2]Francesco Foscarin, Florent Jacquemard, Raphaël Fournier-S'niehotta:
A diff procedure for music score files. DLfM 2019: 58-64 - [c1]Francesco Foscarin
A Parse-Based Framework for Coupled Rhythm Quantization and Score Structuring. MCM 2019: 248-260
Coauthor Index
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