Jan 4, 2022 · We present and evaluate a system for generating synthetic mobility data using a deep recurrent neural network (RNN) which is trained on real location data.
We present and evaluate a system for generating synthetic mobility data using a deep recurrent neural network (RNN) which is trained on real location data.
This project uses location based services (LBS) data provided by a location intelligence company in order to train a RNN model to generate synthetic location ...
May 6, 2022 · We present and evaluate a system for generating synthetic mobility data using a deep recurrent neural network (RNN) which is trained on real location data.
Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy ; Ronan Doorley at Massachusetts Institute of Technology.
In [15] , a recurrent neural network is trained to learn the trajectories and is then used to produce new sequences, with a careful analysis of the produced ...
Apr 29, 2022 · To address the issue of limited sample sizes, the system uses population data as input to generate synthetic data representing that population.
Berke et al. Generating synthetic mobility data for a realistic population with {RNNs} to improve utility and privacy, -, 2022, GAN, LSTM, RNN ; Zhan et al.
#privacy #computer science #data science. Publication. Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy.
Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy · 1 code implementation • 4 Jan 2022 • Alex Berke ...
Use production-like data that acts like the real thing while meeting compliance. Build and optimize new products & featuers without compromising privacy. Scalable Synthetic Data. Realistic Synthetic Data.