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Che, Tong, Yanran Li, Athul Paul Jacob,\u00a0Yoshua Bengio and Wenjie Li. 2016. \"Mode regularized generative adversarial networks.\"\u00a0arXiv preprint arXiv:1612.02136."},{"key":"e_1_3_2_1_12_1","volume-title":"M Kamal and R Emmanuel","author":"Patrick N","year":"2012","unstructured":"N Patrick , G Rafael , M Kamal and R Emmanuel . 2012 . \"An Experimental Platform for Bearings Accelerated Life Test.\"\u00a0Proceedings of the IEEE International Conference on Prognostics and Health Management, Denver, CO, USA. Vol . 18. N Patrick, G Rafael, M Kamal and R Emmanuel. 2012. \"An Experimental Platform for Bearings Accelerated Life Test.\"\u00a0Proceedings of the IEEE International Conference on Prognostics and Health Management, Denver, CO, USA. 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