DeCom: 基于深度耦合分解机的 COVID-19 后呼吸道合胞病毒预测，考虑非药物干预因素（英文版）

英文标题：DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness中文摘要：本文介绍了一种基于深度耦合张量分解机的预测算法，名为 DeCom，用于预测 COVID-19 大流行期间呼吸道合胞病毒 (RSV) 的再次出现时间和强度。 实验结果表明，DeCom 比现有算法更准确，预测效果更好。英文摘要：Respiratory syncytial virus (RSV) is one of the most dangerous respiratorydiseases for infants and young children. Due to the nonpharmaceuticalintervention (NPI) imposed in the COVID-19 outbreak, the seasonal transmissionpattern of