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NMR image segmentation based on Unsupervised Extreme Learning Machine., , , и . Multidimens. Syst. Signal Process., 28 (3): 1013-1030 (2017)A Dynamic Cross-Scale Transformer with Dual-Compound Representation for 3D Medical Image Segmentation., , , and . ICASSP, page 1-5. IEEE, (2023)Experimental Demonstration of Chaotic Secure Transmission with Mutual Injection of Semiconductor Lasers over 130-km Multi-Core Fiber., , , , , , , , , and . OFC, page 1-3. IEEE, (2023)Script event prediction based on pre-trained model with tail event enhancement., , , , and . CSAI, page 242-248. ACM, (2021)Fden: Mining Effective Information of Features in Detecting Network Anomalies., , , , , , and . ICASSP, page 8553-8557. IEEE, (2021)A Multi-Scale Information Fusion Level Set for Breast Tumor Segmentation., , , , and . J. Medical Imaging Health Informatics, 11 (8): 2124-2132 (2021)High-Order Multiple Kernelized Correlation Filter in Tensor for Visual Tracking., , , , and . CVDL, page 13:1-13:5. ACM, (2024)Mining Discriminative Sub-network Pairs in Multi-frequency Brain Functional Networks., , , , , and . DASFAA (3), volume 13945 of Lecture Notes in Computer Science, page 42-57. Springer, (2023)Graph-based characteristic view set extraction and matching for 3D model retrieval., , , and . Inf. Sci., (2015)Effective Anomaly Detection Based on Reinforcement Learning in Network Traffic Data., , , and . ICPADS, page 299-306. IEEE, (2021)