A supervised learning approach for the robust detection of heart beat in plethysmographic data. - Enrico Grisan; Giorgia Cantisani; Giacomo Tarroni; Seung Keun Yoon; Michele Rossi (EMBC, 2015)

MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music. - Giorgia Cantisani; Gabriel Trégoat; Slim Essid; Gaël Richard (SMM, 2019)

EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music. - Giorgia Cantisani; Slim Essid; Gaël Richard (WASPAA, 2019)

Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF. - Giorgia Cantisani; Slim Essid; Gaël Richard (ICASSP, 2021)

User-Guided One-Shot Deep Model Adaptation for Music Source Separation. - Giorgia Cantisani; Alexey Ozerov; Slim Essid; Gaël Richard (WASPAA, 2021)

Neuro-steered music source separation. (Séparation de sources musicales neuroguidée). - Giorgia Cantisani (2021)

Investigating the cortical tracking of speech and music with sung speech. - Giorgia Cantisani; Amirhossein Chalehchaleh; Giovanni M. Di Liberto; Shihab A. Shamma (INTERSPEECH, 2023)

Estimating Musical Surprisal in Audio. - Mathias Rose Bjare; Giorgia Cantisani; Stefan Lattner; Gerhard Widmer (ICASSP, 2025)