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Exploiting machine learning techniques for location recognition and prediction with smartphone logs

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References

2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
2007Learning and inferring transportation routines798 cited
2012Next place prediction using mobility Markov chains555 cited
2006Predestination: Inferring Destinations from Partial Trajectories464 cited
2012Predicting future locations with hidden Markov models384 cited
2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems277 cited
2004Extracting places from traces of locations238 cited
2005Extracting places from traces of locations186 cited
2010Trip destination prediction based on past GPS log using a Hidden Markov Model127 cited
2012Contextual conditional models for smartphone-based human mobility prediction113 cited

Cited by

2020LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists68 cited
2020Comparative analysis of models and performance indicators for optimal service facility location29 cited
2021Outdoor life in dementia: How predictable are people with dementia in their mobility?21 cited
2019STLP-GSM: a method to predict future locations of individuals based on geotagged social media data20 cited

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2020Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories19 cited

2015Multi-hop Mobility Prediction18 cited

2018Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches14 cited

2017Predicting Users’ Mobility Using Monte Carlo Simulations8 cited

2022Novel model for predicting individuals’ movements in dynamic regions of interest8 cited