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3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation., , and . ICASSP, page 8553-8557. IEEE, (2019)Interpretation of Intracardiac Electrograms Through Textual Representations., , , , , , , and . CoRR, (2024)Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering., , , , , and . IEEE Trans. Image Process., (2020)Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report., , , , , , , , , and . ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 480-497. PMLR, (2023)A Novel Variable Selection Approach for Redundant Information Elimination Purpose of Process Control., , and . IEEE Trans. Ind. Electron., 63 (3): 1737-1744 (2016)Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering., , , , , and . CoRR, (2019)Weighted Multi-Projection: 3D Point Cloud Denoising with Tangent Planes., , and . GlobalSIP, page 725-729. IEEE, (2018)Weighted Multi-projection: 3D Point Cloud Denoising with Estimated Tangent Planes., , and . CoRR, (2018)A variable selection aided residual generator design approach for process control and monitoring., , and . Neurocomputing, (2016)Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding., , , , , , , , , and . CoRR, (2023)