- 2024
- Daniel S. Adams, Taylor Hauser, Hsiuhan Lexie Yang, Peter Li:
Multivariate Testing of Sampling Techniques to Address Class Imbalance in Building Use Type Classification. GeoAI@SIGSPATIAL 2024: 15-26 - Theresa Chen, Yao-Yi Chiang:
MiTREE: Multi-input Transformer Ecoregion Encoder for Species Distribution Modelling. GeoAI@SIGSPATIAL 2024: 110-120 - Hari Krishna Gadi, Lu Liu, Liqiu Meng:
Road Networks Matching Supercharged With Embeddings. GeoAI@SIGSPATIAL 2024: 27-37 - Piotr Gramacki, Bruno Martins, Piotr Szymanski:
Evaluation of Code LLMs on Geospatial Code Generation. GeoAI@SIGSPATIAL 2024: 54-62 - Lei Hu, Wenwen Li, Yunqiang Zhu:
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning. GeoAI@SIGSPATIAL 2024: 50-53 - Sravan Jayati, Eric Choi, Henry Burton, Shawn D. Newsam:
Leveraging Large Multimodal Models to Augment Image-Based Building Damage Assessment. GeoAI@SIGSPATIAL 2024: 79-85 - Guiye Li, Guofeng Cao:
Neural process for uncertainty-aware geospatial modeling. GeoAI@SIGSPATIAL 2024: 106-109 - Ivan Majic, Zhangyu Wang, Krzysztof Janowicz, Mina Karimi:
Spatial Task-Explicity Matters in Prompting Large Multimodal Models for Spatial Planning. GeoAI@SIGSPATIAL 2024: 99-105 - Jiyoon Pyo, Yao-Yi Chiang:
Leveraging Large Language Models for Generating Labeled Mineral Site Record Linkage Data. GeoAI@SIGSPATIAL 2024: 86-98 - Nicole R. Schneider, Avik Das, Kent O'Sullivan, Hanan Samet:
Cross-Lingual Clustering Using Large Language Models. GeoAI@SIGSPATIAL 2024: 1-10 - Athanasios Tsiligkaridis, Nicholas Kalinowski, Zhongheng Li, Elizabeth Hou:
Encoding Agent Trajectories as Representations with Sequence Transformers. GeoAI@SIGSPATIAL 2024: 38-49 - Sizhe Wang, Wenwen Li:
Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification. GeoAI@SIGSPATIAL 2024: 75-78 - Sheng Wang, Di Zhu:
Edge Activating Module: Learning edge-to-edge features for mobility flow generation. GeoAI@SIGSPATIAL 2024: 11-14 - Ya Wen, Yulun Zhou:
Demo2Vec: Learning Region Embedding with Demographic Information. GeoAI@SIGSPATIAL 2024: 71-74 - Songxi Yang, Bo Peng, Tang Sui, Qunying Huang:
Self-supervised Pretraining with Edge Guidance for Building Damage Assessment. GeoAI@SIGSPATIAL 2024: 67-70 - Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Mengxuan Hu, Zihan Guan, Sheng Li, Lan Mu:
Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. GeoAI@SIGSPATIAL 2024: 63-66 - Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel:
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1176-3 [contents] - 2023
- Wenwen Li, Hyunho Lee, Sizhe Wang, Chia-Yu Hsu, Samantha T. Arundel:
Assessment of a new GeoAI foundation model for flood inundation mapping. GeoAI@SIGSPATIAL 2023: 102-109 - Ziyue Li, Hao Yan, Chen Zhang, Wolfgang Ketter, Fugee Tsung:
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. GeoAI@SIGSPATIAL 2023: 121-128 - Samantha T. Arundel, Wenwen Li, Bryan B. Campbell:
Reimagining standardization and geospatial interoperability in today's GeoAI culture. GeoAI@SIGSPATIAL 2023: 83-84 - Daniele Donghi, Anne Morvan:
GeoVeX: Geospatial Vectors with Hexagonal Convolutional Autoencoders. GeoAI@SIGSPATIAL 2023: 3-13 - Christoph F. Eick, Md. Mahin, Guoning Chen, Honghai Zhang:
On Threshold Correlation with Application to Studying the Relationship of Temperature and Relative Humidity. GeoAI@SIGSPATIAL 2023: 53-62 - Miguel Gonçalves, Bruno Martins, Jacinto Estima:
A Detailed Analysis on the Use of General-purpose Vision Transformers for Remote Sensing Image Segmentation. GeoAI@SIGSPATIAL 2023: 20-29 - Piotr Gramacki, Kacper Lesniara, Kamil Raczycki, Szymon Wozniak, Marcin Przymus, Piotr Szymanski:
SRAI: Towards Standardization of Geospatial AI. GeoAI@SIGSPATIAL 2023: 43-52 - Betty Heller-Kaikov, Roland Pail, Martin Werner:
Signal Separation in Global, Temporal Gravity Data. GeoAI@SIGSPATIAL 2023: 73-82 - Haolin Liang, Shawn D. Newsam:
Plane Segmentation in Outdoor Imagery: Unsupervised Training Using Synthetic Data. GeoAI@SIGSPATIAL 2023: 95-101 - Shrey Malvi, Hitansh Shah, Niketan Chandarana, Mirali Purohit, Jacob B. Adler, Hannah Kerner:
Automated Multi-class Crater Segmentation in Mars Orbital Images. GeoAI@SIGSPATIAL 2023: 110-120 - Peter Mooney, Wencong Cui, Boyuan Guan, Levente Juhász:
Towards Understanding the Geospatial Skills of ChatGPT: Taking a Geographic Information Systems (GIS) Exam. GeoAI@SIGSPATIAL 2023: 85-94 - Keiichi Ochiai, Masayuki Terada, Hiroaki Sano, Makoto Hanashima, Yuichiro Usuda:
Anomaly Detection for Population Dynamics using Autoencoder Leveraging Periodic Residual Component in Disaster Situations. GeoAI@SIGSPATIAL 2023: 34-42 - 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. GeoAI@SIGSPATIAL 2023: 63-72