Fig. 4
From: Daily insider threat detection with hybrid TCN transformer architecture
Causal Convolution. Causal Convolution ensures that the output at any time point t depends only on the inputs at time point t and before, without relying on future inputs. Moreover, the receptive field of the model can be expanded by stacking multiple convolutional layers, enabling the model to capture dependencies over a longer period.
