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Explaining urban street perception inequities between residents and tourists using interpretable machine learning

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Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
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discipline_display Engineering & Technology
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format Online Article
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institution FRELIP
journal_source_facet PLOS ONE
publishDate 2026
publishDateSort 2026
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spellingShingle Explaining urban street perception inequities between residents and tourists using interpretable machine learning
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
subject_facet Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
title Explaining urban street perception inequities between residents and tourists using interpretable machine learning
title_auth Explaining urban street perception inequities between residents and tourists using interpretable machine learning
title_full Explaining urban street perception inequities between residents and tourists using interpretable machine learning
title_fullStr Explaining urban street perception inequities between residents and tourists using interpretable machine learning
title_full_unstemmed Explaining urban street perception inequities between residents and tourists using interpretable machine learning
title_short Explaining urban street perception inequities between residents and tourists using interpretable machine learning
title_sort explaining urban street perception inequities between residents and tourists using interpretable machine learning
topic Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0345073