Before revision:  We propose a deep neural network architecture that not only captures the spatio-temporal features of multiple sensor time series data , but also selects, learns important time points by utilizing a self-attention mechanism.
After revision:  We propose a deep neural network architecture that not only captures the spatio-temporal features of multiple sensor time-series data but also selects, learns important time points by utilizing a self-attention mechanism.