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Identifying and predicting social lifestyles in people’s trajectories by neural networks

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References

2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
2009Eigenbehaviors: identifying structure in routine504 cited
2009Eigenbehaviors: identifying structure in routine439 cited
2015STAC: A web platform for the comparison of algorithms using statistical tests230 cited
2018Analyzing large-scale human mobility data: a survey of machine learning methods and applications167 cited
2017Human Mobility-Pattern Discovery and Next-Place Prediction from GPS Data23 cited

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2019Integrating Geovisual Analytics with Machine Learning for Human Mobility Pattern Discovery14 cited
2019Utilizing digital traces of mobile phones for understanding social dynamics in urban areas14 cited
2019Toward Robust Interpretable Human Movement Pattern Analysis in a Workplace Setting13 cited
2019Diagnosing the performance of human mobility models at small spatial scales using volunteered geographical information9 cited
2022Mobility in Unsupervised Word Embeddings for Knowledge Extraction—The Scholars’ Trajectories across Research Topics9 cited
2025Generating equitable urban human flows with a fairness-aware deep learning model3 cited

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