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This paper uses deep learning-based anomaly detection, a rapidly developing methodological approach in the field of deep learning, to overcome small sample size problems when predicting rare events such as armed conflicts and terrorist attacks.
Budrul Ahsan, Philips Japan
Sota Kato, International University of Japan
Hirokazu Shimauchi, Tokyo Foundation for Policy Research