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Imbalance deep multi-instance learning for predicting isoform-isoform interactions., , , , , и . Int. J. Intell. Syst., 36 (6): 2797-2824 (2021)DMIL-IsoFun: predicting isoform function using deep multi-instance learning., , , , и . Bioinform., 37 (24): 4818-4825 (2021)scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network., , , , и . Briefings Bioinform., (марта 2023)Protein-protein interactions prediction based on ensemble deep neural networks., , , и . Neurocomputing, (2019)Flexible Cross-Modal Hashing., , , , и . IEEE Trans. Neural Networks Learn. Syst., 33 (1): 304-314 (2022)Few-Shot Partial Multi-Label Learning., , , , , и . ICDM, стр. 926-935. IEEE, (2021)Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction., , , , , , , , и . CIKM, стр. 4981-4987. ACM, (2023)Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning., , , и . SDM, стр. 486-494. SIAM, (2021)Feature-Induced Partial Multi-label Learning., , , , , , и . ICDM, стр. 1398-1403. IEEE Computer Society, (2018)Multi-label Answer Aggregation Based on Joint Matrix Factorization., , , , , и . ICDM, стр. 517-526. IEEE Computer Society, (2018)