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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks.

, , , , and . CoRR, (2020)

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Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks., , , , and . CoRR, (2020)Analyzing Feedback Mechanisms in Group Decision Making Problems., , , and . EUSFLAT/IWIFSGN (3), volume 643 of Advances in Intelligent Systems and Computing, page 371-382. Springer, (2017)Managing Missing Values in Intuitionistic Reciprocal Preference Relations: From Numeric Procedures to Granular., , , , and . SoMeT, volume 318 of Frontiers in Artificial Intelligence and Applications, page 559-572. IOS Press, (2019)Computing with Words: Revisiting the Qualitative Scale., , , , , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 26 (Supplement-2): 127-143 (2018)An improvement of multiplicative consistency of reciprocal preference relations: A framework of granular computing., , , and . SMC, page 1262-1267. IEEE, (2017)Optimization consensus modeling of a closed-loop carbon quota trading mechanism regarding revenue and fairness., , , , , and . Comput. Ind. Eng., (2021)Visualizing Consensus in Group Decision Making Situations., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2007)A New Adaptive Consensus Reaching Process Based on the Experts' Importance., , , and . IPMU, volume 6178 of Lecture Notes in Computer Science, page 474-483. Springer, (2010)Organizing Internet opinions to improve their usefulness using Fuzzy Ontologies and sentiment analysis., , , , , and . CoDIT, page 861-866. IEEE, (2019)Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis., , , , and . EUSFLAT Conf., volume 1 of Atlantis Studies in Uncertainty Modelling, Atlantis Press, (2019)