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Neuroimaging-ITM: A Text Mining Pipeline Combining Deep Adversarial Learning with Interaction Based Topic Modeling for Enabling the FAIR Neuroimaging Study., , , , , , и . Neuroinformatics, 20 (3): 701-726 (2022)EmergEventMine: End-to-End Chinese Emergency Event Extraction Using a Deep Adversarial Network., , , , , , и . ISPRS Int. J. Geo Inf., 11 (6): 345 (2022)Level-set based pre-processing algorithm for particle-based methods., , , , и . CoRR, (2022)A Probabilistic Method for Linking BI Provenances to Open Knowledge Base., , , , , и . BIH, том 9919 из Lecture Notes in Computer Science, стр. 367-376. (2016)Terminology extraction in the field of water environment based on rules and statistics., , , и . CIPAE, стр. 144-147. ACM, (2020)Level-set based pre-processing techniques for particle methods., , , , и . Comput. Phys. Commun., (августа 2023)A Data Cleaning Framework for Water Quality Based on NLDIW-PSO Based Optimal SVR., , и . WI, стр. 336-341. IEEE Computer Society, (2018)Fast Search and Efficient Placement Algorithm for Reconfigurable Tasks on Modern Heterogeneous FPGAs., , , , и . IEEE Trans. Very Large Scale Integr. Syst., 30 (4): 474-487 (2022)Research on Named Entity Recognition in Chinese EMR Based on Semi-Supervised Learning with Dual Selected Strategy., , , , , и . ACAI, стр. 80:1-80:10. ACM, (2020)EEG Seizure Prediction Based on Empirical Mode Decomposition and Convolutional Neural Network., , , , , , и . BI, том 12960 из Lecture Notes in Computer Science, стр. 463-473. Springer, (2021)