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ORCIDGeoAI@SIGSPATIAL 2022: Seattle, WA, USA
- Dalton D. Lunga, Shawn D. Newsam:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9532-8 - Peng Luo, Di Zhu:
Sensing overlapping geospatial communities from human movements using graph affiliation generation models. 1-9 - Di Zhu, Song Gao, Guofeng Cao:
Towards the intelligent era of spatial analysis and modeling. 10-13 - Min Namgung, Yao-Yi Chiang:
Incorporating spatial context for post-OCR in map images. 14-17 - Kacper Lesniara
, Piotr Szymanski:
highway2vec: representing OpenStreetMap microregions with respect to their road network characteristics. 18-29 - Yi Wang, Di Zhu:
SHGCN: a hypergraph-based deep learning model for spatiotemporal traffic flow prediction. 30-39 - João Daniel Silva, João Magalhães, Devis Tuia, Bruno Martins:
Remote sensing visual question answering with a self-attention multi-modal encoder. 40-49 - Meiliu Wu, Qunying Huang:
IM2City: image geo-localization via multi-modal learning. 50-61 - Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Chandi Witharana, Anna Liljedahl:
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons. 62-65 - Orhun Aydin, Carlos Osorio-Murillo, Cheng-Chia Huang:
Density-based cluster detection at multiple spatial scales via kullback-leibler divergence of reachability profiles. 66-75 - Sidi Wu, Raimund Schnürer, Magnus Heitzler, Lorenz Hurni:
Unsupervised historical map registration by a deformation neural network. 76-81 - Mohammad Abboud, Karine Zeitouni, Yehia Taher:
Fine-grained location prediction of non geo-tagged tweets: a multi-view learning approach. 82-91 - Jun Tang, Haoxiang Zhang, Binjie Zhang, Jiahui Jin, Yan Lyu:
SPEMI: normalizing spatial imbalance with spatial eminence transformer for citywide region embedding. 92-95
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