A diff procedure for music score files. - Francesco Foscarin; Florent Jacquemard; Raphaël Fournier-S'niehotta (DLfM, 2019)

A Parse-Based Framework for Coupled Rhythm Quantization and Score Structuring. - Francesco Foscarin; Florent Jacquemard; Philippe Rigaux; Masahiko Sakai (MCM, 2019)

ASAP: a dataset of aligned scores and performances for piano transcription. - Francesco Foscarin; Andrew McLeod; Philippe Rigaux; Florent Jacquemard; Masahiko Sakai (ISMIR, 2020)

The Musical Score: a challenging goal for automatic music transcription. (La partition musicale: un objectif ambitieux pour la transcription automatique de la musique). - Francesco Foscarin (2020)

PKSpell: Data-Driven Pitch Spelling and Key Signature Estimation. - Francesco Foscarin; Nicolas Audebert; Raphaël Fournier-S'niehotta (ISMIR, 2021)

Data quality assessment in digital score libraries. - Francesco Foscarin; Philippe Rigaux; Virginie Thion (Int. J. Digit. Libr., 2021)

Concept-Based Techniques for "Musicologist-Friendly" Explanations in Deep Music Classifiers. - Francesco Foscarin; Katharina Hoedt; Verena Praher; Arthur Flexer; Gerhard Widmer (ISMIR, 2022)

Partitura: A Python Package for Symbolic Music Processing. - Carlos Cancino Chacón; Silvan David Peter; Emmanouil Karystinaios; Francesco Foscarin; Maarten Grachten; Gerhard Widmer (CoRR, 2022)

The match file format: Encoding Alignments between Scores and Performances. - Francesco Foscarin; Emmanouil Karystinaios; Silvan David Peter; Carlos Cancino Chacón; Maarten Grachten; Gerhard Widmer (CoRR, 2022)

Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier. - Francesco Foscarin; Katharina Hoedt; Verena Praher; Arthur Flexer; Gerhard Widmer (CoRR, 2022)

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. - Carlos Cancino Chacón; Silvan Peter; Patricia Hu; Emmanouil Karystinaios; Florian Henkel; Francesco Foscarin; Gerhard Widmer (IJCAI, 2023)

Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem. - Emmanouil Karystinaios; Francesco Foscarin; Gerhard Widmer (IJCAI, 2023)

Predicting Music Hierarchies With a Graph-Based Neural Decoder. - Francesco Foscarin; Daniel Harasim; Gerhard Widmer (ISMIR, 2023)

The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist. - Carlos Cancino Chacón; Silvan Peter; Patricia Hu; Emmanouil Karystinaios; Florian Henkel; Francesco Foscarin; Nimrod Varga; Gerhard Widmer (CoRR, 2023)

8+8=4: Formalizing Time Units to Handle Symbolic Music Durations. - Emmanouil Karystinaios; Francesco Foscarin; Florent Jacquemard; Masahiko Sakai; Satoshi Tojo; Gerhard Widmer (CoRR, 2023)

Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset. - Silvan David Peter; Carlos Eduardo Cancino Chacón; Francesco Foscarin; Andrew McLeod; Florian Henkel; Emmanouil Karystinaios; Gerhard Widmer (Trans. Int. Soc. Music. Inf. Retr., 2023)

Perception-Inspired Graph Convolution for Music Understanding Tasks. - Emmanouil Karystinaios; Francesco Foscarin; Gerhard Widmer (IJCAI, 2024)

Cluster and Separate: A GNN Approach to Voice and Staff Prediction for Score Engraving. - Francesco Foscarin; Emmanouil Karystinaios; Eita Nakamura; Gerhard Widmer (ISMIR, 2024)

Beat This! Accurate Beat Tracking Without DBN Postprocessing. - Francesco Foscarin; Jan Schlüter; Gerhard Widmer (ISMIR, 2024)

SMUG-Explain: A Framework for Symbolic Music Graph Explanations. - Emmanouil Karystinaios; Francesco Foscarin; Gerhard Widmer (CoRR, 2024)

Effective Pre-Training of Audio Transformers for Sound Event Detection. - Florian Schmid; Tobias Morocutti; Francesco Foscarin; Jan Schlüter; Paul Primus; Gerhard Widmer (ICASSP, 2025)

Exploring Performance-Complexity Trade-Offs in Sound Event Detection. - Tobias Morocutti; Florian Schmid; Jonathan Greif; Francesco Foscarin; Gerhard Widmer (CoRR, 2025)