Marco Fiorucci
Machine Learning for Cultural Heritage: A Survey
Fiorucci, Marco; Khoroshiltseva, Marina; Pontil, Massimiliano; Traviglia, Arianna; Del Bue, Alessio; James, Stuart
Authors
Marina Khoroshiltseva
Massimiliano Pontil
Arianna Traviglia
Alessio Del Bue
Dr Stuart James stuart.a.james@durham.ac.uk
Assistant Professor
Citation
Fiorucci, M., Khoroshiltseva, M., Pontil, M., Traviglia, A., Del Bue, A., & James, S. (2020). Machine Learning for Cultural Heritage: A Survey. Pattern Recognition Letters, 133, 102-108. https://doi.org/10.1016/j.patrec.2020.02.017
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 16, 2020 |
Online Publication Date | Feb 29, 2020 |
Publication Date | 2020-05 |
Deposit Date | Jun 20, 2024 |
Journal | Pattern Recognition Letters (PR-L) |
Print ISSN | 0167-8655 |
Electronic ISSN | 1872-7344 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 133 |
Pages | 102-108 |
DOI | https://doi.org/10.1016/j.patrec.2020.02.017 |
Keywords | own,journal |
Public URL | https://durham-repository.worktribe.com/output/2024581 |
You might also like
Inclusive Digital Storytelling: Artificial Intelligence and Augmented Reality to re-centre Stories from the Margins
(2023)
Presentation / Conference Contribution
"Connected to the people": Social Inclusion & Cohesion in Action through a Cultural Heritage Digital Tool
(2023)
Presentation / Conference Contribution
Locality-aware subgraphs for inductive link prediction in knowledge graphs
(2023)
Journal Article
Amnesia in the Atlantic: an AI Driven Serious Game on Marine Biodiversity
(2021)
Presentation / Conference Contribution
Multi-view Aggregation for Color Naming with Shadow Detection and Removal
(2018)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search