| dc.contributor.author | Lordelo, C | en_US |
| dc.contributor.author | Benetos, E | en_US |
| dc.contributor.author | Dixon, S | en_US |
| dc.contributor.author | Ahlbäck, S | en_US |
| dc.date.accessioned | 2024-07-05T11:01:14Z | |
| dc.date.issued | 2021-07-28 | en_US |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/97874 | |
| dc.relation.ispartof | arXiv | en_US |
| dc.rights | This item is distributed under the terms of the Creative Commons Attribution 4.0 Unported License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |
| dc.subject | Machine Learning and Artificial Intelligence | en_US |
| dc.subject | Networking and Information Technology R&D (NITRD) | en_US |
| dc.title | Pitch-Informed Instrument Assignment Using a Deep Convolutional Network with Multiple Kernel Shapes | en_US |
| dc.rights.holder | © 2021, C. Lordelo, E. Benetos, S. Dixon, and S. Ahlbäck | |
| dc.identifier.doi | 10.48550/arxiv.2107.13617 | en_US |
| pubs.notes | Not known | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
