1. Alestra, S., Bordry, C., Brand, C., Burnaev, E., Erofeev, P., Papanov, A., & Silveira-Freixo, C. (2014). Rare event anticipation and degradation trending for aircraft predictive maintenance. In 11th World Congress on Computational Mechanics, WCCM 2014, 5th European Conference on Computational Mechanics, ECCM 2014 and 6th European Conference on Computational Fluid Dynamics, ECFD 2014 (pp. 6571–6582).
2. Classification with class imbalance problem: A review;Ali;International Journal of Advances in Soft Computing and Its Applications,2015
3. Autoencoders, Unsupervised Learning, and Deep Architectures;Baldi;ICML Unsupervised and Transfer Learning,2012
4. Representation learning: A review and new perspectives;Bengio;IEEE Transactions on Pattern Analysis and Machine Intelligence,2013
5. Berberidis, C., Angelis, L., & Vlahavas, I. (2004). Inter-transaction association rules mining for rare events prediction. Proc. 3rd Hellenic Conference …. Retrieved from http://lpis.csd.auth.gr/publications/076-Berberidis-Angelis-Vlahavas-SETN04.pdf