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Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in mobility behavior with applications in domains like infectious disease monitoring and elderly care.
Trajectory clustering: a partition-and-group framework
Jae-Gil Lee, Jiawei Han, and Kyu-Young Whang · 2007
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Learning object motion patterns for anomaly detection and improved object detection
Arslan Basharat, Alexei Gritai, and Mubarak Shah · 2008
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Trajectory outlier detection: A partition-and-detect framework
Jae-Gil Lee, Jiawei Han, and Xiaolei Li · 2008
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OpenStreetMap
Jonathan Bennett · 2010
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Understanding transportation modes based on gps data for web applications
Yu Zheng, Yukun Chen, Quannan Li, Xing Xie, and Wei-Ying Ma · 2010
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Geolife: A collaborative social networking service among user, location and trajectory
Yu Zheng, Xing Xie, Wei-Ying Ma, et al · 2010
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Smarter outlier detection and deeper understanding of large-scale taxi trip records: a case study of nyc
Jianting Zhang · 2012
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Transportation mode-based segmentation and classification of movement trajectories
Filip Biljecki, Hugo Ledoux, and Peter Van Oosterom · 2013
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Semantic trajectories modeling and analysis
Christine Parent, Stefano Spaccapietra, Chiara Renso, Gennady Andrienko, Natalia Andrienko, Vania Bogorny, Maria Luisa Damiani, Aris Gkoulalas-Divanis, Jose Macedo, Nikos Pelekis, et al · 2013
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Trajectory similarity measures
Kevin Toohey and Matt Duckham · 2015
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Attention is all you need
Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Trajectory clustering via deep representation learning
Di Yao, Chao Zhang, Zhihua Zhu, Jianhui Huang, and Jingping Bi · 2017
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Anomaly detection with robust deep autoencoders
Chong Zhou and Randy C Paffenroth · 2017
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Deep one-class classification
Lukas Ruff, Robert Vandermeulen, Nico Goernitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Alexander Binder, Emmanuel Müller, and Marius Kloft · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, T. J. Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeff Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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A hierarchical autoencoder learning model for path prediction and abnormality detection
Dario Dotti, Mirela Popa, and Stylianos Asteriadis · 2020
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Location-based social network data generation based on patterns of life
Joon-Seok Kim, Hyunjee Jin, Hamdi Kavak, Ovi Chris Rouly, Andrew Crooks, Dieter Pfoser, Carola Wenk, and Andreas Züfle · 2020
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Contact tracing: Beyond the apps
Let’s speak trajectories
Mashaal Musleh, Mohamed F Mokbel, and Sofiane Abbar · 2022
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Toward accurate spatiotemporal COVID-19 risk scores using high-resolution real-world mobility data
Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, and Yan Liu · 2022
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Leveraging language foundation models for human mobility forecasting
Hao Xue, Bhanu Prakash Voutharoja, and Flora D Salim · 2022
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Unsupervised deep subgraph anomaly detection
Zheng Zhang and Liang Zhao · 2022
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Staleness-alleviated distributed gnn training via online dynamic-embedding prediction
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, and Liang Zhao · 2023
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Domain specialization as the key to make large language models disruptive: A comprehensive survey
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Mohamed Mokbel, Sofiane Abbar, and Rade Stanojevic · 2020
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Pre-trained models for natural language processing: A survey
Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, and Xuanjing Huang · 2020
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Iot wearable sensors and devices in elderly care: A literature review
Thanos G Stavropoulos, Asterios Papastergiou, Lampros Mpaltadoros, Spiros Nikolopoulos, and Ioannis Kompatsiaris · 2020
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Metaicl: Learning to learn in context
Sewon Min, Mike Lewis, Luke Zettlemoyer, and Hannaneh Hajishirzi · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le · 2021
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Representation learning on spatial networks
Zheng Zhang and Liang Zhao · 2021
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Training a helpful and harmless assistant with reinforcement learning from human feedback
Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, et al · 2022
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Graph neural networks: Graph transformation
Xiaojie Guo, Shiyu Wang, and Liang Zhao · 2022
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Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, et al · 2023
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Towards mobility data science (vision paper)
Mohamed Mokbel, Mahmoud Sakr, Li Xiong, Andreas Züfle, Jussara Almeida, Walid Aref, Gennady Andrienko, Natalia Andrienko, Yang Cao, Sanjay Chawla, et al · 2023
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OpenAI · 2023
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Where would i go next? large language models as human mobility predictors
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A survey of large language models
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Urban life: a model of people and places
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