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Learning Hierarchical Document Graphs From Multilevel Sentence Relations., , , , , , , и . IEEE Trans. Neural Networks Learn. Syst., 34 (8): 4273-4285 (августа 2023)Scalable Deep Poisson Factor Analysis for Topic Modeling., , , , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 1823-1832. JMLR.org, (2015)Survival Function Matching for Calibrated Time-to-Event Predictions., , , и . CoRR, (2019)Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109504H. SPIE, (2019)A flexible statistical model for alignment of label-free proteomics data - incorporating ion mobility and product ion information., , , , , , , и . BMC Bioinform., (2013)Efficient Classification of Very Large Images with Tiny Objects., и . CVPR, стр. 2374-2384. IEEE, (2022)Learning Generic Sentence Representations Using Convolutional Neural Networks., , , , , и . EMNLP, стр. 2390-2400. Association for Computational Linguistics, (2017)Deconvolutional Paragraph Representation Learning., , , , , и . NIPS, стр. 4169-4179. (2017)Adversarial Symmetric Variational Autoencoder., , , , , , и . NIPS, стр. 4330-4339. (2017)Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data., и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 9571-9581. PMLR, (2022)