Churn analysis using deep convolutional neural networks and autoencoders
A Recurrent Neural Network Survival Model: Predicting Web User Return Time
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Understanding user behavior in e-commerce with Long Short-term Memory ( LSTM ) and Autoencoders
Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification
Deep learning detecting fraud in credit card transactions