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Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications., , , , , , and . CoRR, (2016)Efficient Shapelet Discovery for Time Series Classification., , , , , and . IEEE Trans. Knowl. Data Eng., 34 (3): 1149-1163 (2022)Learning From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation., , , , , and . IEEE Trans. Medical Imaging, 41 (9): 2510-2520 (2022)SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification., , , , , and . AAAI, page 11497-11505. AAAI Press, (2023)Visualet: Visualizing Shapelets for Time Series Classification., , , , , and . CIKM, page 3429-3432. ACM, (2020)Efficient Shapelet Discovery for Time Series Classification (Extended Abstract)., , , , , and . ICDE, page 2336-2337. IEEE, (2021)Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data., , , and . IJCAI, page 1586-1592. ijcai.org, (2021)Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation., , , , and . IEEE Trans. Medical Imaging, 41 (5): 1138-1149 (2022)IPS: Instance Profile for Shapelet Discovery for Time Series Classification., , , , , and . ICDE, page 1781-1793. IEEE, (2022)DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series., , , , , , , and . AAAI, page 930-937. AAAI Press, (2020)