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ORCIDGeoInformatica, Volume 29
Volume 29, Number 1, January 2025
- Cheng Wei, Wenhao Yu:
A spatial dependency based reinforcement learning model for selecting features in spatial classification. 1-29 - Mariana M. Garcez Duarte, Mahmoud Attia Sakr:
An experimental study of existing tools for outlier detection and cleaning in trajectories. 31-51 - Ningchuan Xiao
, Myung Jin Kim, Yue Lin:
A multistart and recombination algorithm for finding many unique solutions to spatial aggregation problems. 53-91 - Saurabh Mishra, Sonia Khetarpaul:
Identifying and recommending taxi hotspots in spatio-temporal space. 93-113 - Anita Graser, Anahid N. Jalali, Jasmin Lampert, Axel Weißenfeld, Krzysztof Janowicz:
MobilityDL: a review of deep learning from trajectory data. 115-147 - Petros Mandalis, Eva Chondrodima, Yannis Kontoulis, Nikos Pelekis, Yannis Theodoridis:
A transformer-based method for vessel traffic flow forecasting. 149-173
Volume 29, Number 2, April 2025
- Yiming Xu, Qian Ke, Xiaojian Zhang, Xilei Zhao:
ICN: Interactive convolutional network for forecasting travel demand of shared micromobility. 175-200 - Wenzhu Zhao, Guan Yuan, Rui Bing, Ruidong Lu, Yudong Shen:
Periodicity aware spatial-temporal adaptive hypergraph neural network for traffic forecasting. 201-232 - Anqi Liang, Bin Yao, Jiong Xie, Wenli Zheng, Yanyan Shen, Qiqi Ge:
CLMTR: a generic framework for contrastive multi-modal trajectory representation learning. 233-253 - Sirish Prabakar, Haiquan Chen, Zhe Jiang, Carl Yang, Weikuan Yu, Da Yan:
LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews. 255-274 - Shakir Showkat Sofi, Ivan V. Oseledets:
A case study of spatiotemporal forecasting techniques for weather forecasting. 275-298
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