43 citations · 52 across the 5 of their papers we have counts for
3 papers · 1 filter
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data
Weizhu Qian, Fabrice Lauri, Franck Gechter
Discovering human mobility patterns with geo-location data collected from smartphone users has been a hot research topic in recent years. In this paper, we attempt to discover dail…
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints
Weizhu Qian, Fabrice Lauri, Franck Gechter
Predicting smartphone users activity using WiFi fingerprints has been a popular approach for indoor positioning in recent years. However, such a high dimensional time-series predic…
Supervised and Semi-supervised Deep Probabilistic Models for Indoor Positioning Problems
Weizhu Qian, Fabrice Lauri, Franck Gechter
Predicting smartphone users location with WiFi fingerprints has been a popular research topic recently. In this work, we propose two novel deep learning-based models, the convoluti…