43 citations · 52 across the 5 of their papers we have counts for
5 papers
A GA-like Dynamic Probability Method With Mutual Information for Feature Selection
Gaoshuai Wang, Fabrice Lauri, Amir Hajjam El Hassani
Feature selection plays a vital role in promoting the classifier's performance. However, current methods ineffectively distinguish the complex interaction in the selected features.…
An Adaptive Neighborhood Partition Full Conditional Mutual Information Maximization Method for Feature Selection
Gaoshuai Wang, Fabrice Lauri, Pu Wang +2
Feature selection is used to eliminate redundant features and keep relevant features, it can enhance machine learning algorithm's performance and accelerate computing speed. In var…
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…