GeoAI in urban analytics-Reference-Cited by-同舟云学术

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GeoAI in urban analytics

Published:2023-11-24 Issue:12 Volume:37 Page:2455-2463
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

De Sabbata Stefano¹,Ballatore Andrea²^ORCID,Miller Harvey J.³^ORCID,Sieber Renée⁴,Tyukin Ivan⁵,Yeboah Godwin⁶

Affiliation:

1. School of Geography, Geology and the Environment, University of Leicester, Leicester, UK

2. Department of Digital Humanities, King’s College London, London, UK

3. Department of Geography, Ohio State University, Columbus, OH, USA

4. Department of Geography, McGill University, Montreal, Canada

5. Department of Mathematics, King’s College London, London, UK

6. Research Computing, Research Technology Platforms, University of Warwick, Coventry, UK

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2023.2279978

Reference43 articles.

1. Urban analytics defined

2. Bender E.M. et al. 2021. On the dangers of stochastic parrots: Can language models be too big? In: Proceedings of the 2021 ACM conference on fairness accountability and transparency (FAccT '21). New York NY: Association for Computing Machinery 610–623.

3. Introducing a more-than-quantitative approach to explore emerging structures of feeling in the everyday

4. Berglund L. et al. 2023. The Reversal Curse: LLMs trained on "A is B" fail to learn" B is A". https://arxiv.org/abs/2309.12288

5. Bhattacharyya A. et al. 2023. Look remember and reason: Visual reasoning with grounded rationales. https://arxiv.org/abs/2306.17778

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An ensemble framework for explainable geospatial machine learning models;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. Towards Responsible Urban Geospatial AI: Insights From the White and Grey Literatures;Journal of Geovisualization and Spatial Analysis;2024-06-26

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