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Deep Sequence Learning with Auxiliary Information for Traffic Prediction., , , , , , , и . KDD, стр. 537-546. ACM, (2018)Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records., , , , , и . BIBM, стр. 598-603. IEEE, (2019)Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case., , , , , , , , и . EMNLP (1), стр. 8754-8769. Association for Computational Linguistics, (2021)PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 11328-11339. PMLR, (2020)Bond rating using support vector machine., , и . Intell. Data Anal., 10 (3): 285-296 (2006)Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction., , , , , , , , , и . ACM Multimedia, стр. 1883-1891. ACM, (2018)Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases., , , , , , и . CoRR, (2021)Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification., , , , , и . BIBM, стр. 765-769. IEEE, (2019)The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant., , , , , , , , , и 1 other автор(ы). J. Am. Medical Informatics Assoc., 31 (9): 1884-1891 (2024)BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation., , , и . BioNLP@ACL, стр. 328-341. Association for Computational Linguistics, (2024)