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Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble Learning., , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (6): 2671-2681 (2021)Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentions., , , и . BMC Bioinform., 21 (1): 230 (2020)Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs., , , , и . Briefings Bioinform., (2022)Incorporating Uncertainty in Agent Commitments., и . ATAL, том 1757 из Lecture Notes in Computer Science, стр. 57-70. Springer, (1999)Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation., , , , , , , и . Appl. Soft Comput., (января 2023)Communication in Multi-Agent Markov Decision Processes., , и . ICMAS, стр. 467-468. IEEE Computer Society, (2000)Evolving graph convolutional network with transformer for CT segmentation., , , , , , , и . Appl. Soft Comput., (2024)MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction., , , , , , и . BIBM, стр. 2438-2445. IEEE, (2024)Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans., , , , , , , , , и . BIBM, стр. 1188-1193. IEEE, (2023)Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network., , , , , , , , , и . MICCAI (5), том 12905 из Lecture Notes in Computer Science, стр. 721-730. Springer, (2021)