Stefano Fasciani

Førsteamanuensis
Bilde av Stefano Fasciani
English version of this page
Telefon +47-22844146
Rom 320
Brukernavn
Besøksadresse Sem Sælands vei 2A ZEB bygningen 0371 Oslo Norge
Postadresse Postboks 1017 Blindern 0315 Oslo Norge

For mer informasjon, se den engelske nettsiden

 

 

 

Publikasjoner

  • Simionato, Riccardo; Fasciani, Stefano & Holm, Sverre (2024). Physics-informed differentiable method for piano modeling. Frontiers in Signal Processing. ISSN 2673-8198. doi: 10.3389/frsip.2023.1276748.
  • Lucas Bravo, Pedro Pablo & Fasciani, Stefano (2023). A Human-Agents Music Performance System in an Extended Reality Environment. I Ortiz, Miguel & Marquez-Borbon, Adnan (Red.), Proceedings of the International Conference on New Interfaces for Musical Expression. Universidad Autónoma Metropolitana. ISSN 2220-4792. Fulltekst i vitenarkiv
  • Simionato, Riccardo & Fasciani, Stefano (2023). Fully Conditioned and Low-latency Black-box Modeling of Analog Compression. I Serafin, Stefania; Fontana, Federico & Willemsen, Silvin (Red.), Proceedings of the 26th International Conference on Digital Audio Effects. Aalborg University Copenhagen. ISSN 2413-6700. s. 287–295. Fulltekst i vitenarkiv
  • Simionato, Riccardo & Fasciani, Stefano (2023). A Comparative Computational Approach to Piano Modeling Analysis, Proceedings of the Sound and Music Computing Conference 2023. SMC Network . ISSN 978-91-527-7372-7.
  • von Arnim, Hugh Alexander; Fasciani, Stefano & Erdem, Cagri (2023). The Feedback Mop Cello: An Instrument for Interacting with Acoustic Feedback Loops. I Ortiz, Miguel & Marquez-Borbon, Adnan (Red.), Proceedings of the International Conference on New Interfaces for Musical Expression. Universidad Autónoma Metropolitana. ISSN 2220-4792. doi: http:/hdl.handle.net/10852/104236. Fulltekst i vitenarkiv
  • 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. Fulltekst i vitenarkiv
  • Goode, Jackson Montgomery & Fasciani, Stefano (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. Fulltekst i vitenarkiv
  • 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

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-.

Se alle arbeider i Cristin

Publisert 6. mai 2019 15:32 - Sist endret 28. juli 2023 09:31

Prosjekter