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ORCIDGeoAI@SIGSPATIAL 2018: Seattle, WA, USA
- Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAIi@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6036-4 - James Van Hinsbergh, Nathan Griffiths, Phillip Taylor, Alasdair Thomason, Zhou Xu, Alex Mouzakitis:
Vehicle Point of Interest Detection Using In-Car Data. 1-4 - Nastaran Pourebrahim
, Selima Sultana, Jean-Claude Thill, Somya D. Mohanty:
Enhancing Trip Distribution Prediction with Twitter Data: Comparison of Neural Network and Gravity Models. 5-8 - Yingxiao Xu, Long Pan, Chun Du, Jun Li, Ning Jing, Jiangjiang Wu:
Vision-based UAVs Aerial Image Localization: A Survey. 9-18 - Guikai Xi, Ling Yin, Ye Li, Shujiang Mei:
A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale. 19-28 - Tao Sun, Zonglin Di, Yin Wang:
Combining Satellite Imagery and GPS Data for Road Extraction. 29-32 - Orhun Aydin, Mark V. Janikas, Renato M. Assunção, Ting-Hwan Lee:
SKATER-CON: Unsupervised Regionalization via Stochastic Tree Partitioning within a Consensus Framework Using Random Spanning Trees: Research Paper. 33-42 - Shivangi Srivastava, John E. Vargas-Muñoz, David Swinkels, Devis Tuia:
Multilabel Building Functions Classification from Ground Pictures using Convolutional Neural Networks. 43-46 - Benjamin Swan, Melanie Laverdiere, Hsiuhan Lexie Yang:
How Good is Good Enough?: Quantifying the Effects of Training Set Quality. 47-51 - T. Edwin Chow:
When GeoAI Meets the Crowd. 52-53 - Karima Elgarroussi, Sujing Wang, Romita Banerjee, Christoph F. Eick:
Aconcagua: A Novel Spatiotemporal Emotion Change Analysis Framework. 54-61
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