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Can the Max-Min Fairness-Based Coalitional Mechanism in Competitive Networks be Trustful?

, , , , , and . IWCMC, page 348-353. IEEE, (2019)

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A development of granular logic neural networks., , and . IFSA/NAFIPS, page 1327-1330. IEEE, (2013)Can the Max-Min Fairness-Based Coalitional Mechanism in Competitive Networks be Trustful?, , , , , and . IWCMC, page 348-353. IEEE, (2019)Dynamic Instance Normalization for Arbitrary Style Transfer., , , , , , and . CoRR, (2019)Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers., , , , , and . CoRR, (2019)Manifold Ranking-Based Matrix Factorization for Saliency Detection., , , and . IEEE Trans. Neural Networks Learn. Syst., 27 (6): 1122-1134 (2016)Automatic image cropping using sparse coding., , and . ACPR, page 490-494. IEEE, (2011)Granular neural networks: A study of optimizing allocation of information granularity in input space., , and . Appl. Soft Comput., (2019)A capture-to-display delay measurement system for visual communication applications., , , , and . APSIPA, page 1-4. IEEE, (2013)Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity., and . IEEE Trans. Fuzzy Syst., 19 (3): 527-539 (2011)Complementary influence maximization under comparative linear threshold model., , , , , and . Expert Syst. Appl., 238 (Part D): 121826 (March 2024)