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ORCIDGeoAI@SIGSPATIAL 2023: Hamburg, Germany
- Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023 - Anthony C. Robinson
, Arzu Çöltekin, Amy L. Griffin, Florian Ledermann:
Cartography in GeoAI: Emerging Themes and Research Challenges. 1-2 - Daniele Donghi, Anne Morvan:
GeoVeX: Geospatial Vectors with Hexagonal Convolutional Autoencoders. 3-13 - Girisha S, Hrishikesh Singh Yadav, Divyanshu Manawat, Savitha G., Shreesha Surathkal:
Self-Attention Driven Decoder for SAR Image-based Semantic Flood Zone Segmentation. 14-19 - Miguel Gonçalves, Bruno Martins, Jacinto Estima:
A Detailed Analysis on the Use of General-purpose Vision Transformers for Remote Sensing Image Segmentation. 20-29 - Xue Xia, Chenjing Jiao, Lorenz Hurni:
Contrastive Pretraining for Railway Detection: Unveiling Historical Maps with Transformers. 30-33 - Keiichi Ochiai, Masayuki Terada, Hiroaki Sano, Makoto Hanashima, Yuichiro Usuda:
Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations. 34-42 - Piotr Gramacki, Kacper Lesniara, Kamil Raczycki, Szymon Wozniak, Marcin Przymus, Piotr Szymanski:
SRAI: Towards Standardization of Geospatial AI. 43-52 - Christoph F. Eick, Md. Mahin, Guoning Chen, Honghai Zhang:
On Threshold Correlation with Application to Studying the Relationship of Temperature and Relative Humidity. 53-62 - Yuxiao Qu, Jinmeng Rao, Song Gao, Qianheng Zhang, Wei-Lun Chao, Yu Su, Michelle Miller, Alfonso Morales, Patrick R. Huber:
FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows. 63-72 - Betty Heller-Kaikov, Roland Pail, Martin Werner:
Signal Separation in Global, Temporal Gravity Data. 73-82 - Samantha T. Arundel, Wenwen Li, Bryan B. Campbell:
Reimagining standardization and geospatial interoperability in today's GeoAI culture. 83-84 - Peter Mooney, Wencong Cui, Boyuan Guan, Levente Juhász:
Towards Understanding the Geospatial Skills of ChatGPT: Taking a Geographic Information Systems (GIS) Exam. 85-94 - Haolin Liang, Shawn D. Newsam:
Plane Segmentation in Outdoor Imagery: Unsupervised Training Using Synthetic Data. 95-101 - Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel:
Assessment of a new GeoAI foundation model for flood inundation mapping. 102-109 - Shrey Malvi, Hitansh Shah, Niketan Chandarana, Mirali Purohit, Jacob B. Adler, Hannah Kerner:
Automated Multi-class Crater Segmentation in Mars Orbital Images. 110-120 - Ziyue Li, Hao Yan, Chen Zhang, Wolfgang Ketter, Fugee Tsung:
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. 121-128
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