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<full_title>Journal of Open Source Software</full_title> | ||
<abbrev_title>JOSS</abbrev_title> | ||
<issn media_type="electronic">2475-9066</issn> | ||
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<doi>10.21105/joss</doi> | ||
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<title>MapReader: Open software for the visual analysis of | ||
maps</title> | ||
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<article_title>MapReader: A computer vision pipeline for the | ||
semantic exploration of maps at scale</article_title> | ||
<author>Hosseini</author> | ||
<journal_title>Proceedings of the 6th ACM SIGSPATIAL | ||
International Workshop on Geospatial Humanities</journal_title> | ||
<doi>10.1145/3557919.3565812</doi> | ||
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Beelen, K., & McDonough, K. (2022). MapReader: A computer vision | ||
pipeline for the semantic exploration of maps at scale. Proceedings of | ||
the 6th ACM SIGSPATIAL International Workshop on Geospatial Humanities, | ||
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<cYear>2022</cYear> | ||
<unstructured_citation>Hosseini, K., Wilson, D. C. S., | ||
Beelen, K., & McDonough, K. (2022). MapReader_data_SIGSPATIAL_2022. | ||
Zenodo. https://doi.org/10.5281/ZENODO.7147906</unstructured_citation> | ||
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<article_title>Maps of a Nation? The Digitized Ordnance | ||
Survey for New Historical Research</article_title> | ||
<author>Hosseini</author> | ||
<journal_title>Journal of Victorian Culture</journal_title> | ||
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<volume>26</volume> | ||
<doi>10.1093/jvcult/vcab009</doi> | ||
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<cYear>2021</cYear> | ||
<unstructured_citation>Hosseini, K., McDonough, K., Van | ||
Strien, D., Vane, O., & Wilson, D. C. S. (2021). Maps of a Nation? | ||
The Digitized Ordnance Survey for New Historical Research. Journal of | ||
Victorian Culture, 26(2), 284–299. | ||
https://doi.org/10.1093/jvcult/vcab009</unstructured_citation> | ||
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<article_title>Urban economics in a historical perspective: | ||
Recovering data with machine learning</article_title> | ||
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<journal_title>Regional Science and Urban | ||
Economics</journal_title> | ||
<volume>94</volume> | ||
<doi>10.1016/j.regsciurbeco.2021.103711</doi> | ||
<cYear>2022</cYear> | ||
<unstructured_citation>Combes, P.-P., Gobillon, L., & | ||
Zylberberg, Y. (2022). Urban economics in a historical perspective: | ||
Recovering data with machine learning. Regional Science and Urban | ||
Economics, 94, 103711. | ||
https://doi.org/10.1016/j.regsciurbeco.2021.103711</unstructured_citation> | ||
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<article_title>An automatic approach for generating rich, | ||
linked geo-metadata from historical map images</article_title> | ||
<author>Li</author> | ||
<journal_title>Proceedings of the 26th ACM SIGKDD | ||
international conference on knowledge discovery & data | ||
mining</journal_title> | ||
<doi>10.1145/3394486.3403381</doi> | ||
<isbn>9781450379984</isbn> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Li, Z., Chiang, Y.-Y., Tavakkol, S., | ||
Shbita, B., Uhl, J. H., Leyk, S., & Knoblock, C. A. (2020). An | ||
automatic approach for generating rich, linked geo-metadata from | ||
historical map images. Proceedings of the 26th ACM SIGKDD International | ||
Conference on Knowledge Discovery & Data Mining, 3290–3298. | ||
https://doi.org/10.1145/3394486.3403381</unstructured_citation> | ||
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<article_title>Neural networks for semantic segmentation of | ||
historical city maps: Cross-cultural performance and the impact of | ||
figurative diversity</article_title> | ||
<author>Petitpierre</author> | ||
<doi>10.48550/ARXIV.2101.12478</doi> | ||
<cYear>2021</cYear> | ||
<unstructured_citation>Petitpierre, R. (2021). Neural | ||
networks for semantic segmentation of historical city maps: | ||
Cross-cultural performance and the impact of figurative diversity. | ||
https://doi.org/10.48550/ARXIV.2101.12478</unstructured_citation> | ||
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<citation key="Arnold"> | ||
<article_title>Distant Viewing Toolkit: A Python Package for | ||
the Analysis of Visual Culture</article_title> | ||
<author>Arnold</author> | ||
<journal_title>Journal of Open Source | ||
Software</journal_title> | ||
<issue>45</issue> | ||
<volume>5</volume> | ||
<doi>10.21105/joss.01800</doi> | ||
<issn>2475-9066</issn> | ||
<cYear>2020</cYear> | ||
<unstructured_citation>Arnold, T., & Tilton, L. (2020). | ||
Distant Viewing Toolkit: A Python Package for the Analysis of Visual | ||
Culture. Journal of Open Source Software, 5(45), 1800. | ||
https://doi.org/10.21105/joss.01800</unstructured_citation> | ||
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<article_title>Dynamic phenotyping of whole oilseed rape | ||
(brassica napus) plants from images collected under controlled | ||
conditions</article_title> | ||
<author>Corcoran</author> | ||
<unstructured_citation>Corcoran, E., Hosseini, K., Siles, | ||
L., Kurup, S., & Ahnert, S. (n.d.). Dynamic phenotyping of whole | ||
oilseed rape (brassica napus) plants from images collected under | ||
controlled conditions.</unstructured_citation> | ||
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