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Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations., , , , and . IEEE J. Biomed. Health Informatics, 25 (3): 881-890 (2021)DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization., , , , and . BMC Bioinform., 22-S (3): 241 (2021)LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (3): 1122-1129 (2021)Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations., , , , and . ICIC (3), volume 11645 of Lecture Notes in Computer Science, page 318-326. Springer, (2019)Relay feedback based on fuzzy multiple model and its application to the 330 MW unit coordinated control system., , and . ICMLC, page 884-889. IEEE, (2012)Learning sparse Fuzzy Cognitive Maps by Ant Colony Optimization., , , , , , , and . FSKD, page 68-76. IEEE, (2013)Steklov-Poincaré Skinning., , and . Symposium on Computer Animation, page 139-148. Eurographics Association, (2014)Low-Complexity Detection Schemes for QOSTBC With Four-Transmit-Antenna., , , and . IEEE Communications Letters, 19 (6): 1053-1056 (2015)Interoperability Report for Forwarding and Control Element Separation (ForCES)., , , , and . RFC, (August 2013)Application research of three layer BP network on performance evaluation of wet cooling tower under cross-wind conditions., , , and . ICNC, page 181-184. IEEE, (2010)