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For: He C, Yu H, Gu S, Zhang W. A Multi-Granularity Information-Based Method for Learning High-Dimensional Bayesian Network Structures. Cognit Comput. [DOI: 10.1007/s12559-021-09891-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Number Cited by Other Article(s)
1
Batista Tsukahara VH, de Oliveira Júnior JN, de Oliveira Barth VB, de Oliveira JC, Rosa Cota V, Maciel CD. Data-Driven Network Dynamical Model of Rat Brains During Acute Ictogenesis. Front Neural Circuits 2022;16:747910. [PMID: 36034337 PMCID: PMC9399918 DOI: 10.3389/fncir.2022.747910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 06/08/2022] [Indexed: 11/16/2022]  Open
2
Optimal Granule Combination Selection Based on Multi-Granularity Triadic Concept Analysis. Cognit Comput 2021. [DOI: 10.1007/s12559-021-09934-6 10.1007/s12559-021-09934-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
3
Wan Q, Li J, Wei L. Optimal Granule Combination Selection Based on Multi-Granularity Triadic Concept Analysis. Cognit Comput 2021. [DOI: 10.1007/s12559-021-09934-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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