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Deep integrative analysis for survival prediction.

, , и . PSB, стр. 343-352. (2018)

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Chenglong Jiang

Chenglong Yu

Haishi Huang

Haowei Huang

Feiqing Huang

 

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Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks., , , , , , и . BMC Bioinform., 19 (1): 64:1-64:9 (2018)Deep integrative analysis for survival prediction., , и . PSB, стр. 343-352. (2018)Contrastive Hierarchical Gating Networks for Rating Prediction., , , , , и . ICONIP (3), том 14449 из Lecture Notes in Computer Science, стр. 424-446. Springer, (2023)Dynamic monitoring and counting for lotus flowers and seedpods with UAV based on improved YOLOv7-tiny., , , , , , и . Comput. Electron. Agric., (2024)Accurate Inference of Rice Biomass Based on Support Vector Machine., , , , и . CCTA (1), том 478 из IFIP Advances in Information and Communication Technology, стр. 356-365. (2015)HDNH: a read-efficient and write-optimized hashing scheme for hybrid DRAM-NVM memory., , , , , и . ICPP, стр. 47:1-47:10. ACM, (2021)AIMCU-MESO: An In-Memory Computing Unit Constructed by MESO Device., , , , , и . ACM Trans. Design Autom. Electr. Syst., 28 (1): 8:1-8:16 (января 2023)Rapid Identification of Rice Varieties by Grain Shape and Yield-Related Features Combined with Multi-class SVM., , , , и . CCTA (1), том 478 из IFIP Advances in Information and Communication Technology, стр. 390-398. (2015)