The following publications are possibly variants of this publication:
- Neural-Symbolic Temporal Decision Trees for Multivariate Time Series ClassificationGiovanni Pagliarini, Simone Scaboro, Giuseppe Serra 0001, Guido Sciavicco, Ionel Eduard Stan. time 2022: [doi]
- Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed SystemsZhihan Li, Youjian Zhao, Yitong Geng, Zhanxiang Zhao, Hanzhang Wang, Wenxiao Chen, Huai Jiang, Amber Vaidya, Liangfei Su, Dan Pei. jsac, 40(9):2746-2765, 2022. [doi]
- LSTM-Based VAE-GAN for Time-Series Anomaly DetectionZijian Niu, Ke Yu, Xiaofei Wu. sensors, 20(13):3738, 2020. [doi]
- An Attention Mechanism Based Approach for Multivariate Time Series Anomaly DetectionYihao Xiong, Jinbo Wang, Yuanlin Xin, Chi Zhang, Panpan Xue. dsa 2023: 173-181 [doi]
- Multivariate time-series anomaly detection via temporal convolutional and graph attention networksQiang He 0003, Guanqun Wang, Hengyou Wang, Linlin Chen. jifs, 44(4):5953-5962, 2023. [doi]