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Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks., , , , , , , и . IEEE Big Data, стр. 2804-2813. IEEE, (2022)Comparing General and Locally-Learned Word Embeddings for Clinical Text Mining., , , , и . BHI, стр. 1-4. IEEE, (2019)Learning Similarity-Preserving Meta-Embedding for Text Mining., , , , и . IEEE BigData, стр. 808-817. IEEE, (2020)Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer., , , , и . AAAI, стр. 9980-9988. AAAI Press, (2023)Stop&Hop: Early Classification of Irregular Time Series., , , , и . CIKM, стр. 696-705. ACM, (2022)Human-like Explanation for Text Classification With Limited Attention Supervision., , , , , и . IEEE BigData, стр. 957-967. IEEE, (2021)Semi-Supervised Knowledge Amalgamation for Sequence Classification., , , и . AAAI, стр. 9859-9867. AAAI Press, (2021)Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks., , , и . CoRR, (2023)Amalgamating Multi-Task Models with Heterogeneous Architectures., , , и . AAAI, стр. 15346-15354. AAAI Press, (2024)Time-Aware Transformer-based Network for Clinical Notes Series Prediction., , , и . MLHC, том 126 из Proceedings of Machine Learning Research, стр. 566-588. PMLR, (2020)