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Publication search results
found 90 matches
- 2023
- Yang He
, Emre Eftelioglu
, Mohammed N. Moustafa
, Amber Roy Chowdhury
:
A Highly Efficient and Effective Attribute Learning Framework for Road Graph from Aerial Imagery and GPS. BigSpatial@SIGSPATIAL 2023: 32-41 - Aggelos Karabinos
, Panagiotis Tampakis
, Christos Doulkeridis
, Akrivi Vlachou
:
Processing of Spatial-Keyword Range Queries in Apache Spark. BigSpatial@SIGSPATIAL 2023: 23-31 - Zhuocheng Mei
, Ranga Raju Vatsavai
, Rada Chirkova
:
Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity. BigSpatial@SIGSPATIAL 2023: 13-22 - Congying Wang
, Jia Yu
, Zhuoyue Zhao
:
GLIN: A (G)eneric (L)earned (In)dexing Mechanism for Complex Geometries. BigSpatial@SIGSPATIAL 2023: 1-12 - Ashwin Shashidharan, Martin Werner, Krishna Karthik Gadiraju, Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 11th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - 2022
- Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao:
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. BigSpatial@SIGSPATIAL 2022: 36-46 - Lu Chen, Dejun Teng, Tian Zhu, Jun Kong, Bruce W. Herr, Andreas Bueckle
, Katy Börner, Fusheng Wang
:
Real-time spatial registration for 3D human atlas. BigSpatial@SIGSPATIAL 2022: 27-35 - Emre Eftelioglu, Ravi Garg, Vaibhav Kango, Chintan Gohil, Amber Roy Chowdhury:
RING-Net: road inference from GPS trajectories using a deep segmentation network. BigSpatial@SIGSPATIAL 2022: 17-26 - Yuhei Senuma, Zhao Wang, Yuusuke Nakano, Jun Ohya:
GEAR: a graph edge attention routing algorithm solving combinatorial optimization problem with graph edge cost. BigSpatial@SIGSPATIAL 2022: 8-16 - Martin Werner, Hao Li
:
AtlasHDF: an efficient big data framework for GeoAI. BigSpatial@SIGSPATIAL 2022: 1-7 - Ashwin Shashidharan, Krishna Karthik Gadiraju, Varun Chandola, Ranga Raju Vatsavai:
Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9531-1 [contents] - 2020
- Florian Barth
, Stefan Funke, Tobias Skovgaard Jepsen
, Claudius Proissl:
Scalable unsupervised multi-criteria trajectory segmentation and driving preference mining. BigSpatial@SIGSPATIAL 2020: 6:1-6:10 - Yulin Cao, Butros M. Dahu
, Grant J. Scott:
A geographic computational visual feature database for natural and anthropogenic phenomena analysis from multi-resolution remote sensing imagery. BigSpatial@SIGSPATIAL 2020: 7:1-7:10 - Mai Dahshan, Leanna House, Nicholas F. Polys
:
High-dimensional spatial simulation ensemble analysis. BigSpatial@SIGSPATIAL 2020: 2:1-2:4 - Jordane Dorne, Nathalie Aussenac-Gilles, Catherine Comparot, Cássia Trojahn, Romain Hugues:
Giving meaning to unsupervised EO change detection rasters: a semantic-driven approach. BigSpatial@SIGSPATIAL 2020: 5:1-5:10 - Krishna Karthik Gadiraju, Ranga Raju Vatsavai:
Comparative analysis of deep transfer learning performance on crop classification. BigSpatial@SIGSPATIAL 2020: 1:1-1:8 - Ksenia D. Mukhina, Alexander A. Visheratin, Denis A. Nasonov:
Convolutional neural networks with hierarchical context transfer for high-resolution spatiotemporal predictions. BigSpatial@SIGSPATIAL 2020: 4:1-4:10 - Stefan Oehmcke
, Tzu-Hsin Karen Chen, Alexander V. Prishchepov
, Fabian Gieseke:
Creating cloud-free satellite imagery from image time series with deep learning. BigSpatial@SIGSPATIAL 2020: 3:1-3:10 - Varun Chandola, Ranga Raju Vatsavai, Ashwin Shashidharan:
BIGSPATIAL '20: Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2020, Seattle, WA, USA, November 3, 2020. ACM 2020, ISBN 978-1-4503-8162-8 [contents] - 2019
- Mohamed S. Bakli
, Mahmoud Attia Sakr
, Esteban Zimányi:
Distributed moving object data management in MobilityDB. BigSpatial@SIGSPATIAL 2019: 1:1-1:10 - Alberto Belussi
, Damiano Carra, Sara Migliorini, Mauro Negri:
Efficient MapReduce computation of topological relations for big geometries. BigSpatial@SIGSPATIAL 2019: 3:1-3:8 - Arjun Subramanyam Varalakshmi, Chong Wang, Christoph F. Eick:
Fast proximity graph generation with spark. BigSpatial@SIGSPATIAL 2019: 4:1-4:10 - Ranga Raju Vatsavai, Bharathkumar Ramachandra
, Zexi Chen, John Jernigan:
geoEdge: a real-time analytics framework for geospatial applications. BigSpatial@SIGSPATIAL 2019: 2:1-2:4 - Varun Chandola, Ranga Raju Vatsavai, Ashwin Shashidharan:
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, BigSpatial@SIGSPATIAL 2019, Chicago, IL, USA, November 5th, 2019. ACM 2019, ISBN 978-1-4503-6966-4 [contents] - 2018
- Peter Baumann
, Katrin Kohler, Vlad Merticariu, Ismoil Isroilov:
Using Datacube Technology for In-Situ-Enhanced Precision Farming. BigSpatial@SIGSPATIAL 2018: 10-15 - Md. Mahbub Alam
, Suprio Ray, Virendra C. Bhavsar:
A Performance Study of Big Spatial Data Systems. BigSpatial@SIGSPATIAL 2018: 1-9 - W. Randolph Franklin, Salles Viana Gomes de Magalhães, Marcus Vinícius Alvim Andrade:
Data Structures for Parallel Spatial Algorithms on Large Datasets (Vision paper). BigSpatial@SIGSPATIAL 2018: 16-19 - Haowen Lin, Yao-Yi Chiang:
An Uncertainty Aware Method for Geographic Data Conflation. BigSpatial@SIGSPATIAL 2018: 20-27 - Mengyu Ma, Wei Xiong
, Luo Chen, Ning Guo
, Jun Li, Ning Jing:
HiAccess: High-resolution Accessibility Analysis with High Performance Geographic Information System. BigSpatial@SIGSPATIAL 2018: 28-31 - Nathan Pool
, Ranga Raju Vatsavai
:
Deformable Part Models for Complex Object Detection in Remote Sensing Imagery. BigSpatial@SIGSPATIAL 2018: 57-62
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