Stefano Fasciani

• Afsari, Kiyan; El Barachi, May; Fasciani, Stefano & Belqasmi, Fatna (2022). A Deep Learning Approach for Real-time Detection of Epileptic Seizures using EEG, 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE conference proceedings. ISSN 978-1-6654-8828-0. doi: 10.23919/SpliTech55088.2022.9854359.
• Simionato, Riccardo & Fasciani, Stefano (2022). Deep Learning Conditioned Modeling of Optical Compression. Proceedings of the International Conference on Digital Audio Effects. ISSN 2413-6700.
• Fasciani, Stefano & Goode, Jackson (2022). A Toolkit for the Analysis of the NIME Proceedings Archive. I McPherson, Andrew & Frid, Emma (Red.), Proceedings of the International Conference on New Interfaces for Musical Expression. The International Conference on New Interfaces for Musical Expression. ISSN 2220-4792. doi: 10.21428/92fbeb44.58efca21.
• Copiaco, Abigail; Ritz, Christian; Fasciani, Stefano & AbdulAziz, Nidhal (2022). Development of a Synthetic Database for Compact Neural Network Classification of Acoustic Scenes in Dementia Care Environments. I APSIPA, . (Red.), 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE Signal Processing Society. ISSN 9789881476890. s. 1202–1209. Fulltekst i vitenarkiv
• Fasciani, Stefano & Goode, Jackson Montgomery (2021). 20 NIMEs: Twenty Years of New Interfaces for Musical Expression. I Dannenberg, Roger & Xiao, Xiao (Red.), Proceedings of the International Conference on New Interfaces for Musical Expression. The International Conference on New Interfaces for Musical Expression. ISSN 2220-4792. doi: https%3A/doi.org/10.21428/92fbeb44.b368bcd5. Fulltekst i vitenarkiv
• Copiaco, Abigail; Ritz, Christian; Abdulaziz, Nidhal & Fasciani, Stefano (2021). A Study of Features and Deep Neural Network Architectures and Hyper-Parameters for Domestic Audio Classification. Applied Sciences. ISSN 2076-3417. 11(11). doi: 10.3390/app11114880.

Se alle arbeider i Cristin

• Jensenius, Alexander Refsum & Fasciani, Stefano (2021). University of Oslo - RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion. Proceedings of the SMC Conferences. ISSN 2518-3672. 2021-.
• Fasciani, Stefano & Jensenius, Alexander Refsum (2021). Sound and Music Computing at the University of Oslo. Vis sammendrag

  A presentation of labs and studios at the Department of Musicology and RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion at the University of Oslo.

• Jenssen, Ariadne Loinsworth; Monstad, Lars; Gonzalez Munoz, Sofia; Fasciani, Stefano & Jensenius, Alexander Refsum (2021). Kan kunstig intelligens erstatte en artist?
• Fasciani, Stefano (2021). Back-To-Net – A system for collaborative DJ set over the Internet.

Se alle arbeider i Cristin