Technical Programme

C01-01	Stacking Ensembles of Heterogenous Classi6iers for Fault Detection in Evolving Environments Mohammed Ghaith Altarabichi, Peyman Mashhadi, Yuantao Fan, Sepideh Pashami, Sławomir Nowaczyk, Pablo Del Moral, Mahmoud Rahat and Thorsteinn Rögnvaldsson
C01-02	Scenario-Based Generalization Bound for Anomaly Detection Support Vector Machine Ensembles Roberto Rocchetta, Milan Petkovic and Qi Gao
C01-03	A Deep Learning Framework For Health Anomaly Detection of Multi-component Systems in Evolving Environments: A Case Study in PHM Shahin Siahpour, Abhijeet Ainapure, Xiang Li and Jay Lee
C01-04	The Aramis Data Challenge: Prognostics and Health Management in Evolving Environments Francesco Cannarile, Michele Compare, Piero Baraldi, Zhe Yang and Enrico Zio