Abstract: This paper presents a method to integrate causal inference into deep learning for time series forecasting. We consider time series for complex systems characterized by non-linear dynamics, ...

Abstract: Data classification and feature/attribute selection approaches play important role in enabling organizations to extract meaningful insights from vast and complex datasets. Besides, the ...