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ORCIDACM Transactions on Spatial Algorithms and Systems, Volume 10
Volume 10, Number 1, March 2024
- Praval Sharma
, Ashok Samal, Leen-Kiat Soh, Deepti Joshi:
A Spatially-Aware Data-Driven Approach to Automatically Geocoding Non-Gazetteer Place Names. 1:1-1:34 - Mouad Rifai, Lennart Johnsson:
VxH: A Systematic Determination of Efficient Hierarchical Voxel Structures. 2:1-2:34 - Huiqun Huang, Suining He, Xi Yang, Mahan Tabatabaie:
STICAP: Spatio-temporal Interactive Attention for Citywide Crowd Activity Prediction. 3:1-3:22 - Yi-Ju Lu, Cheng-Te Li:
Forecasting Urban Sensory Values through Learning Attention-adjusted Graph Spatio-temporal Networks. 4:1-4:22 - Andi Zang, Runsheng Xu, Goce Trajcevski, Fan Zhou:
Data Issues in High-Definition Maps Furniture - A Survey. 5:1-5:37 - Abdulaziz Almaslukh, Yongyi Liu, Amr Magdy:
Scalable Spatio-temporal Top-k Interaction Queries on Dynamic Communities. 6:1-6:25
Volume 10, Number 2, June 2024
- Yunting Song, Riccardo Fellegara, Federico Iuricich, Leila De Floriani:
Parallel Topology-aware Mesh Simplification on Terrain Trees. 7 - Rodrigo Alves:
Regionalization-Based Collaborative Filtering: Harnessing Geographical Information in Recommenders. 8
- Walid G. Aref, Leila De Floriani, Mohamed F. Mokbel, Cyrus Shahabi:
Introduction to the Special Issue on Vision Papers. 9 - Mohamed F. Mokbel, Mahmoud Attia Sakr, Li Xiong, Andreas Züfle, Jussara M. Almeida, Taylor Anderson, Walid G. Aref, Gennady L. Andrienko, Natalia V. Andrienko, Yang Cao, Sanjay Chawla, Reynold Cheng, Panos K. Chrysanthis, Xiqi Fei, Gabriel Ghinita, Anita Graser, Dimitrios Gunopulos, Christian S. Jensen, Joon-Seok Kim, Kyoung-Sook Kim, Peer Kröger, John Krumm, Johannes Lauer, Amr Magdy, Mario A. Nascimento, Siva Ravada, Matthias Renz, Dimitris Sacharidis, Flora D. Salim, Mohamed Sarwat, Maxime Schoemans, Cyrus Shahabi, Bettina Speckmann, Egemen Tanin, Xu Teng, Yannis Theodoridis, Kristian Torp, Goce Trajcevski, Marc J. van Kreveld, Carola Wenk, Martin Werner, Raymond Chi-Wing Wong, Song Wu, Jianqiu Xu, Moustafa Youssef, Demetris Zeinalipour, Mengxuan Zhang, Esteban Zimányi:
Mobility Data Science: Perspectives and Challenges. 10 - Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao:
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). 11 - Ying Zhang, Zhiwen Yu, Minling Dang, En Xu, Bin Guo, Yuxuan Liang, Yifang Yin, Roger Zimmermann:
Predictability in Human Mobility: From Individual to Collective (Vision Paper). 12 - Andreas Züfle, Dieter Pfoser, Carola Wenk, Andrew T. Crooks, Hamdi Kavak, Taylor Anderson, Joon-Seok Kim, Nathan Holt, Andrew Diantonio:
In Silico Human Mobility Data Science: Leveraging Massive Simulated Mobility Data (Vision Paper). 13 - Fahim Tasneema Azad, K. Selçuk Candan, Ahmet Kapkiç, Mao-Lin Li, Huan Liu, Pratanu Mandal, Paras Sheth, Bilgehan Arslan, Gerardo Chowell-Puente, John Sabo, Rebecca Muenich, Javier Redondo Anton, Maria Luisa Sapino:
(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. 14 - Mashaal Musleh, Mohamed F. Mokbel:
Let's Speak Trajectories: A Vision to Use NLP Models for Trajectory Analysis Tasks. 15 - Stephan Winter, Monika Sester, Martin Tomko, Alexandra Millonig:
The Challenge of Data Analytics with Climate-neutral Urban Mobility (Vision Paper). 16 - Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre:
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. 17
Volume 10, Number 3, September 2024
- Yacine Belal, Sonia Ben Mokhtar, Hamed Haddadi, Jaron Wang, Afra Mashhadi:
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications. 18:1-18:39 - Yaguang Liu, Lisa Singh:
Utilizing External Knowledge to Enhance Location Prediction for Twitter/X Users in Low Resource Settings. 19:1-19:25 - Jordi Aguilar, Kevin Buchin, Maike Buchin, Erfan Hosseini Sereshgi, Rodrigo I. Silveira, Carola Wenk:
Graph Sampling for Map Comparison. 20:1-20:24 - Majid Farhadloo, Arun Sharma, Shashi Shekhar, Svetomir N. Markovic:
Spatial Computing Opportunities in Biomedical Decision Support: The Atlas-EHR Vision. 21:1-21:36
- Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel:
Introduction to the Special Issue on Machine Learning and Location Data. 22:1-22:2 - Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li:
Spatio-temporal Dual Graph Neural Networks for Travel Time Estimation. 23:1-23:22 - Guojiang Shen, Juntao Wang, Xiangjie Kong, Zhanhao Ji, Bing Zhu, Tie Qiu:
Deformation Gated Recurrent Network for Lane-level Abnormal Driving Behavior Recognition. 24:1-24:26 - Mingliang Hou, Feng Xia, Xin Chen, Vidya Saikrishna, Honglong Chen:
Adaptive Spatio-temporal Graph Learning for Bus Station Profiling. 25:1-25:23 - Tianyi Wang, Shu-Ching Chen:
Adaptive Joint Spatio-Temporal Graph Learning Network for Traffic Data Forecasting. 26:1-26:20 - Lei Chen, Jie Cao, Weichao Liang, Qiaolin Ye:
Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation. 27:1-27:22 - Shixiang Wan, Shikai Luo, Hongtu Zhu:
Causal Probabilistic Spatio-Temporal Fusion Transformers in Two-Sided Ride-Hailing Markets. 28:1-28:18 - Keiichi Ochiai, Masayuki Terada, Makoto Hanashima, Hiroaki Sano, Yuichiro Usuda:
Detection of Non-Designated Evacuation Shelters from Real-Time Population Dynamics Using Autoencoder-Based Anomaly Detection. 29:1-29:23
Volume 10, Number 4, 2024
- Qixu Gong, Huiying Chen, Huiping Cao, Jiefei Liu:
Backbone Index and GNN Models for Skyline Path Query Evaluation over Multi-cost Road Networks. 1-45 - Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel:
Introduction to the Special Issue on Machine Learning and Location Data: Part II. 1-2 - Alberto Belussi, Sara Migliorini, Ahmed Eldawy:
A Generic Machine Learning Model for Spatial Query Optimization based on Spatial Embeddings. 1-33 - Xovee Xu, Ting Zhong, Haoyang Yu, Fan Zhou, Goce Trajcevski:
Overcoming Catastrophic Forgetting in Continual Fine-Grained Urban Flow Inference. 1-26 - Ween Jiann Lee, Hady W. Lauw:
Latent Representation Learning for Geospatial Entities. 1-31 - Stefan Schestakov, Simon Gottschalk, Thorben Funke, Elena Demidova:
RE-Trace : Re-identification of Modified GPS Trajectories. 1-28 - Peiyu Yi, Feihu Huang, Jian Peng, Zhifeng Bao:
Dynamic Spatial-Temporal Embedding via Neural Conditional Random Field for Multivariate Time Series Forecasting. 1-23 - Zhaobin Mo, Haotian Xiang, Xuan Di:
Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction. 1-25
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