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Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.

, , , , , , , , , and . SMC, page 196-201. IEEE, (2023)

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Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling., , , , , , , , , and . SMC, page 196-201. IEEE, (2023)Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting, , , , , , , , , and 1 other author(s). (2021)cite arxiv:2103.07719Comment: Accepted by NeurIPS 2020. 20 pages, 7 figures.TS2Vec: Towards Universal Representation of Time Series., , , , , , and . AAAI, page 8980-8987. AAAI Press, (2022)Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss., , , , , and . CoRR, (2021)ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information., , , , and . CoRR, (2024)Multivariate Time-series Anomaly Detection via Graph Attention Network., , , , , , , , , and . ICDM, page 841-850. IEEE, (2020)Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting., , , , , , , , , and 1 other author(s). NeurIPS, (2020)SALICON: Saliency in Context., , , and . CVPR, page 1072-1080. IEEE Computer Society, (2015)Characteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection., , , , , , , , , and . IJCNN, page 1-9. IEEE, (2024)