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A Feature Selection Approach Based on Interclass and Intraclass Relative Contributions of Terms., , , and . Comput. Intell. Neurosci., (2016)Development of large-scale TCM corpus using hybrid named entity recognition methods for clinical phenotype detection: An initial study., , , , , and . CIBD, page 84-90. IEEE, (2014)Spectral Dictionary Learning Based Multispectral Image Compression., , , , , and . Edutainment, volume 11462 of Lecture Notes in Computer Science, page 140-144. Springer, (2018)Latent Topic Model Based Multi-feature Learning for PolSAR Terrain Classification., , , , and . Edutainment, volume 11462 of Lecture Notes in Computer Science, page 249-252. Springer, (2018)Shape decomposition and understanding of point cloud objects based on perceptual information., , , and . VRCAI, page 199-206. ACM, (2010)Top Invulnerability Nodes Mining in Dual-Direction Different-Weight Complex Network Based on Node Double-Level Local Structure Weighted Entropy., , , and . IEEE Access, (2019)Interacting Multiple Model Based on Maximum Correntropy Kalman Filter., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 68 (8): 3017-3021 (2021)Generative Evolutionary Anomaly Detection in Dynamic Networks., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (12): 12234-12248 (December 2023)An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding., , , , and . ICDM, page 1144-1149. IEEE, (2021)Comprehensive identification of operational risk factors based on textual risk disclosures., , , and . ITQM, volume 139 of Procedia Computer Science, page 136-143. Elsevier, (2018)