Before revision:  Firstly, as well as being more explainable, time-series CL approaches outperform LSTM and a simple sliding window learner ( feed-forward neural net (FFNN) ) . Secondly, we show that CL based on a sliding window learner (FFNN) is more effective than CL based on a sequential learner (LSTM).
After revision:  Firstly, as well as being more explainable, time-series CL approaches outperform LSTM and a simple sliding window learner ( feed-forward neural networks (FFNN) ) . Secondly, we show that CL based on a sliding window learner (FFNN) is more effective than CL based on a sequential learner (LSTM).