Ambiguity Modelling with Label Distribution Learning for Music Classification. - Morgan Buisson; Pablo Alonso-Jiménez; Dmitry Bogdanov (ICASSP, 2022)

Learning Multi-Level Representations for Hierarchical Music Structure Analysis.. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (ISMIR, 2022)

A Repetition-Based Triplet Mining Approach for Music Segmentation. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (ISMIR, 2023)

Using Pairwise Link Prediction and Graph Attention Networks for Music Structure Analysis. - Morgan Buisson; Brian McFee; Slim Essid (ISMIR, 2024)

Self-Supervised Learning of Multi-Level Audio Representations for Music Segmentation. - Morgan Buisson; Brian McFee; Slim Essid; Hélène C. Crayencour (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Deep Learning Methods for Music Structure Analysis : Addressing Data Scarcity and Ambiguity. (Méthodes d'Apprentissage Profond pour l'Analyse de Structures Musicales : Adresser le Manque et l'Ambiguïté des Données). - Morgan Buisson (2024)