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Gengchen Mai
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2020 – today
- 2024
- [j22]Danhuai Guo
, Yingxue Yu, Shiyin Ge, Song Gao
SpatialScene2Vec: A self-supervised contrastive representation learning method for spatial scene similarity evaluation. Int. J. Appl. Earth Obs. Geoinformation 128: 103743 (2024) - [j21]Yifan Zhang
BB-GeoGPT: A framework for learning a large language model for geographic information science. Inf. Process. Manag. 61(5): 103808 (2024) - [j20]Gengchen Mai
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 11 (2024) - [c37]Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic:
Probing the Information Theoretical Roots of Spatial Dependence Measures. COSIT 2024: 9:1-9:18 - [c36]Jielu Zhang
Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. GeoAI@SIGSPATIAL 2024: 63-66 - [c35]Qian Cao
TorchSpatial: A Python Package for Spatial Representation Learning and Geo-Aware Model Development. GeoIndstry@SIGSPATIAL 2024: 39-42 - [c34]Gengchen Mai
SRL: Towards a General-Purpose Framework for Spatial Representation Learning. SIGSPATIAL/GIS 2024: 465-468 - [c33]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. ICLR 2024 - [c32]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. ICML 2024 - [c31]Zhongliang Zhou
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. SIGIR 2024: 2749-2754 - [e2]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] - [i39]Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, Tianming Liu:
Revolutionizing Finance with LLMs: An Overview of Applications and Insights. CoRR abs/2401.11641 (2024) - [i38]Yan Luo, Zhuoyue Wan, Yuzhong Chen, Gengchen Mai, Fu-Lai Chung, Kent Larson:
TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction. CoRR abs/2402.15398 (2024) - [i37]Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai:
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. CoRR abs/2403.19584 (2024) - [i36]Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao:
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. CoRR abs/2405.18395 (2024) - [i35]Zhangyu Wang, Krzysztof Janowicz, Gengchen Mai, Ivan Majic:
Probing the Information Theoretical Roots of Spatial Dependence Measures. CoRR abs/2405.18459 (2024) - [i34]Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai:
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning. CoRR abs/2406.15658 (2024) - [i33]Hao Li, Fabian Deuser, Wenping Yina, Xuanshu Luo, Paul M. Walther, Gengchen Mai, Wei Huang, Martin Werner:
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN. CoRR abs/2408.06761 (2024) - [i32]Zhenyuan Yang, Xuhui Lin, Qinyi He, Ziye Huang, Zhengliang Liu, Hanqi Jiang, Peng Shu, Zihao Wu, Yiwei Li, Stephen Law, Gengchen Mai, Tianming Liu, Tao Yang:
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery. CoRR abs/2408.12821 (2024) - [i31]Cogan Shimizu, Shirly Stephen, Adrita Barua, Ling Cai, Antrea Christou, Kitty Currier, Abhilekha Dalal, Colby K. Fisher, Pascal Hitzler, Krzysztof Janowicz, Wenwen Li, Zilong Liu, Mohammad Saeid Mahdavinejad, Gengchen Mai, Dean Rehberger, Mark Schildhauer, Meilin Shi, Sanaz Saki Norouzi, Yuanyuan Tian, Sizhe Wang, Zhangyu Wang, Joseph Zalewski, Lu Zhou, Rui Zhu:
The KnowWhereGraph Ontology. CoRR abs/2410.13948 (2024) - 2023
- [j19]Ling Cai
HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning. GeoInformatica 27(2): 159-197 (2023) - [j18]Gengchen Mai
Towards general-purpose representation learning of polygonal geometries. GeoInformatica 27(2): 289-340 (2023) - [j17]Yingjie Hu
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. Int. J. Geogr. Inf. Sci. 37(11): 2289-2318 (2023) - [j16]Yanlin Qi, Gengchen Mai, Rui Zhu
EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system. Trans. GIS 27(4): 949-974 (2023) - [c30]Jinmeng Rao
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper). SIGSPATIAL/GIS 2023: 41:1-41:4 - [c29]Hao Li
Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. SIGSPATIAL/GIS 2023: 55:1-55:9 - [c28]Yiqun Xie
Geo-Foundation Models: Reality, Gaps and Opportunities. SIGSPATIAL/GIS 2023: 66:1-66:4 - [c27]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) 2023: 515-520 - [c26]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. ICML 2023: 23498-23515 - [c25]Cogan Shimizu, Shirly Stephen, Rui Zhu, Kitty Currier, Mark Schildhauer, Dean Rehberger, Pascal Hitzler, Krzysztof Janowicz, Colby K. Fisher, Mohammad Saeid Mahdavinejad, Antrea Christou, Adrita Barua, Abhilekha Dalal, Sanaz Saki Norouzi, Zilong Liu, Meilin Shi, Ling Cai, Gengchen Mai, Zhangyu Wang, Yuanyuan Tian:
The KnowWhereGraph Ontology: A Showcase. JOWO 2023 - [c24]Shirly Stephen, Mark Schildhauer, Ling Cai, Yuanyuan Tian, Kitty Currier, Cogan Shimizu, Krzysztof Janowicz, Pascal Hitzler, Anna Lopez-Carr, Andrew Schroeder, Zilong Liu, Rui Zhu, Colby K. Fisher, Gengchen Mai, Tony Huang:
The Expertise Ontology: Modeling Expertise in the Context of Emergency Management. JOWO 2023 - [e1]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 [contents] - [i30]Yanlin Qi, Gengchen Mai, Rui Zhu, Michael Zhang:
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System. CoRR abs/2304.04893 (2023) - [i29]Guoyu Lu
AGI for Agriculture. CoRR abs/2304.06136 (2023) - [i28]Gengchen Mai, Weiming Huang
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR abs/2304.06798 (2023) - [i27]Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li:
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. CoRR abs/2304.10597 (2023) - [i26]Ehsan Latif, Gengchen Mai, Matthew Nyaaba
Artificial General Intelligence (AGI) for Education. CoRR abs/2304.12479 (2023) - [i25]Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. CoRR abs/2305.01118 (2023) - [i24]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR abs/2305.03513 (2023) - [i23]Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu:
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. CoRR abs/2306.10095 (2023) - [i22]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li:
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. CoRR abs/2306.11892 (2023) - [i21]Gengchen Mai, Yao Xuan, Wenyun Zuo, Yutong He, Jiaming Song, Stefano Ermon, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions. CoRR abs/2306.17624 (2023) - [i20]Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR abs/2309.07438 (2023) - [i19]Jinmeng Rao, Song Gao, Gengchen Mai, Krzysztof Janowicz:
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models. CoRR abs/2309.17319 (2023) - [i18]Gengchen Mai, Ni Lao, Weiwei Sun, Yuchi Ma, Jiaming Song, Chenlin Meng, Hongxu Ma, Jinmeng Rao, Ziyuan Li, Stefano Ermon:
SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution. CoRR abs/2310.00413 (2023) - [i17]Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David B. Lobell, Stefano Ermon:
GeoLLM: Extracting Geospatial Knowledge from Large Language Models. CoRR abs/2310.06213 (2023) - [i16]Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph:
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages. CoRR abs/2310.09340 (2023) - [i15]Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu:
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. CoRR abs/2310.19626 (2023) - [i14]Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao
Multimodality of AI for Education: Towards Artificial General Intelligence. CoRR abs/2312.06037 (2023) - [i13]Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications. CoRR abs/2312.17016 (2023) - 2022
- [j15]Krzysztof Janowicz, Pascal Hitzler, Wenwen Li, Dean Rehberger, Mark Schildhauer, Rui Zhu, Cogan Shimizu, Colby K. Fisher, Ling Cai, Gengchen Mai, Joseph Zalewski, Lu Zhou, Shirly Stephen, Seila Gonzalez Estrecha, Bryce D. Mecum, Anna Lopez-Carr, Andrew Schroeder, Dave Smith, Dawn J. Wright, Sizhe Wang, Yuanyuan Tian, Zilong Liu, Meilin Shi, Anthony D'Onofrio, Zhining Gu, Kitty Currier:
Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence. AI Mag. 43(1): 30-39 (2022) - [j14]Gengchen Mai
A review of location encoding for GeoAI: methods and applications. Int. J. Geogr. Inf. Sci. 36(4): 639-673 (2022) - [j13]Rui Zhu
Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks. Int. J. Geogr. Inf. Sci. 36(11): 2194-2225 (2022) - [j12]Krzysztof Janowicz, Cogan Shimizu, Pascal Hitzler, Gengchen Mai
Diverse data! Diverse schemata? Semantic Web 13(1): 1-3 (2022) - [j11]Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai:
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). ACM SIGSPATIAL Special 14(1): 23-25 (2022) - [j10]Rui Zhu, Krzysztof Janowicz, Gautam S. Thakur, Xiaogang Ma, Ellie Young, Gengchen Mai:
GeoKG'2022 Workshop Report: The 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs. ACM SIGSPATIAL Special 14(1): 37-39 (2022) - [j9]Gengchen Mai
Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning. Trans. GIS 26(8): 3118-3124 (2022) - [c23]Zilong Liu
LD Connect: A Linked Data Portal for IOS Press Scientometrics. ESWC 2022: 323-337 - [c22]Amna Elmustafa, Erik Rozi, Yutong He, Gengchen Mai
Understanding economic development in rural Africa using satellite imagery, building footprints and deep models. SIGSPATIAL/GIS 2022: 89:1-89:4 - [c21]Gengchen Mai
Towards a foundation model for geospatial artificial intelligence (vision paper). SIGSPATIAL/GIS 2022: 106:1-106:4 - [i12]Gengchen Mai, Yao Xuan, Wenyun Zuo, Krzysztof Janowicz, Ni Lao:
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions. CoRR abs/2201.10489 (2022) - [i11]Gengchen Mai
Towards General-Purpose Representation Learning of Polygonal Geometries. CoRR abs/2209.15458 (2022) - 2021
- [c20]Rui Zhu, Shirly Stephen, Lu Zhou, Cogan Shimizu, Ling Cai, Gengchen Mai, Krzysztof Janowicz, Pascal Hitzler, Mark Schildhauer:
Environmental Observations in Knowledge Graphs. DaMaLOS 2021: 1-11 - [c19]Rui Zhu
SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator Ontology. IJCKG 2021: 99-107 - [c18]Cogan Shimizu, Rui Zhu
A Pattern for Features on a Hierarchical Spatial Grid. IJCKG 2021: 108-114 - [c17]Ling Cai, Krzysztof Janowicz, Bo Yan, Rui Zhu
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes. K-CAP 2021: 121-128 - [c16]Rui Zhu
Providing Humanitarian Relief Support through Knowledge Graphs. K-CAP 2021: 285-288 - [i10]Gengchen Mai
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions. CoRR abs/2105.09392 (2021) - [i9]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
A Review of Location Encoding for GeoAI: Methods and Applications. CoRR abs/2111.04006 (2021) - [i8]Ling Cai, Krzysztof Janowicz, Bo Yan, Rui Zhu
Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes. CoRR abs/2111.06854 (2021) - [i7]Gengchen Mai, Weiming Huang, Ling Cai, Rui Zhu, Ni Lao:
Narrative Cartography with Knowledge Graphs. CoRR abs/2112.00970 (2021) - 2020
- [j8]Gengchen Mai
SE-KGE : A location-aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting. Trans. GIS 24(3): 623-655 (2020) - [j7]Ling Cai
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting. Trans. GIS 24(3): 736-755 (2020) - [c15]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. ICLR 2020 - [i6]Gengchen Mai
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. CoRR abs/2003.00824 (2020) - [i5]Gengchen Mai
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online. CoRR abs/2003.06561 (2020) - [i4]Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting. CoRR abs/2004.14171 (2020)
2010 – 2019
- 2019
- [j6]Rui Zhu
Making direction a first-class citizen of Tobler's first law of geography. Trans. GIS 23(3): 398-416 (2019) - [j5]Gengchen Mai
Deeply integrating Linked Data with Geographic Information Systems. Trans. GIS 23(3): 579-600 (2019) - [j4]Bo Yan
A spatially explicit reinforcement learning model for geographic knowledge graph summarization. Trans. GIS 23(3): 620-640 (2019) - [c14]Gengchen Mai
Relaxing Unanswerable Geographic Questions Using A Spatially Explicit Knowledge Graph Embedding Model. AGILE Conference 2019: 21-39 - [c13]Ling Cai, Bo Yan, Gengchen Mai
TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction. K-CAP 2019: 131-138 - [c12]Gengchen Mai
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. K-CAP 2019: 171-178 - [i3]Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. CoRR abs/1910.00084 (2019) - [i2]Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu
TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction. CoRR abs/1910.00702 (2019) - 2018
- [j3]Krzysztof Janowicz, Blake Regalia, Pascal Hitzler, Gengchen Mai
On the prospects of blockchain and distributed ledger technologies for open science and academic publishing. Semantic Web 9(5): 545-555 (2018) - [j2]Gengchen Mai
ADCN: An anisotropic density-based clustering algorithm for discovering spatial point patterns with noise. Trans. GIS 22(1): 348-369 (2018) - [c11]Gengchen Mai
Support and Centrality: Learning Weights for Knowledge Graph Embedding Models. EKAW 2018: 212-227 - [c10]Blake Regalia, Krzysztof Janowicz, Gengchen Mai
GNIS-LD: Serving and Visualizing the Geographic Names Information System Gazetteer as Linked Data. ESWC 2018: 528-540 - [c9]Gengchen Mai
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. GIR@SIGSPATIAL 2018: 5:1-5:2 - [c8]Bo Yan
xNet+SC: Classifying Places Based on Images by Incorporating Spatial Contexts. GIScience 2018: 17:1-17:15 - [c7]Krzysztof Janowicz, Bo Yan, Blake Regalia, Rui Zhu, Gengchen Mai:
Debiasing Knowledge Graphs: Why Female Presidents are not like Female Popes. ISWC (P&D/Industry/BlueSky) 2018 - [c6]Gengchen Mai, Krzysztof Janowicz, Bo Yan:
Combining Text Embedding and Knowledge Graph Embedding Techniques for Academic Search Engines. Semdeep/NLIWoD@ISWC 2018: 77-88 - [i1]Gengchen Mai, Krzysztof Janowicz, Cheng He, Sumang Liu, Ni Lao:
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset. CoRR abs/1810.02802 (2018) - 2017
- [b1]Gengchen Mai:
ADCN: An Anisotropic Density-Based Clustering Algorithm for Discovering Spatial Point Patterns with Noise. University of California, Santa Barbara, USA, 2017 - [c5]Bo Yan
From ITDL to Place2Vec: Reasoning About Place Type Similarity and Relatedness by Learning Embeddings From Augmented Spatial Contexts. SIGSPATIAL/GIS 2017: 35:1-35:10 - [c4]Blake Regalia, Krzysztof Janowicz, Gengchen Mai:
Phuzzy.link: A SPARQL-powered Client-Sided Extensible Semantic Web Browser. VOILA@ISWC 2017: 34-44 - 2016
- [c3]Gengchen Mai
ADCN: an anisotropic density-based clustering algorithm. SIGSPATIAL/GIS 2016: 58:1-58:4 - [c2]Krzysztof Janowicz, Yingjie Hu, Grant McKenzie
Moon Landing or Safari? A Study of Systematic Errors and Their Causes in Geographic Linked Data. GIScience 2016: 275-290 - [c1]Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Grant McKenzie:
A Linked Data Driven Visual Interface for the Multi-perspective Exploration of Data Across Repositories. VOILA@ISWC 2016: 93-101 - 2015
- [j1]Rui Xiao, Shiliang Su, Gengchen Mai
Quantifying determinants of cash crop expansion and their relative effects using logistic regression modeling and variance partitioning. Int. J. Appl. Earth Obs. Geoinformation 34: 258-263 (2015)
Coauthor Index
[c37] [c32] [i36] [i35] [i31] [j19] [j18] [c30] [c25] [c24] [i21] [i19] [j15] [j14] [j13] [j12] [j10] [j9] [c23] [i12] [i11] [c20] [c19] [c18] [c17] [c16] [i10] [i9] [i8] [j8] [j7] [c15] [i6] [i5] [i4] [j6] [j5] [j4] [c14] [c13] [c12] [i3] [i2] [j3] [j2] [c11] [c10] [c9] [c8] [c7] [c6] [i1] [c5] [c4] [c3] [c2] [c1]
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