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Document Domain Randomization for Deep Learning Document Layout Extraction
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In: Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR, September 5--10, Lausanne, Switzerland) ; https://hal.inria.fr/hal-03336444 ; Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR, September 5--10, Lausanne, Switzerland), Sep 2021, Lausanne, Switzerland. pp.497-513, ⟨10.1007/978-3-030-86549-8_32⟩ (2021)
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Document Domain Randomization for Deep Learning Document Layout Extraction ...
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A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations ...
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Extractive Research Slide Generation Using Windowed Labeling Ranking ...
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Additional file 3 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models ...
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Additional file 3 of Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models ...
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Audio-visual Recognition of Overlapped speech for the LRS2 dataset ...
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Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets
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In: ISSN: 0884-8173 ; EISSN: 1098-111X ; International Journal of Intelligent Systems ; https://www.hal.inserm.fr/inserm-03026626 ; International Journal of Intelligent Systems, Wiley, 2019, 34 (6), pp.1261-1280. ⟨10.1002/int.22095⟩ (2019)
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Additional file 1: of Prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study ...
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Additional file 1: of Prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study ...
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Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
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An interaction consensus in group decision making under distributed trust information
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A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
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Abstract:
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. ; A theoretical feedback mechanism framework to model consensus in social network group decision making (SN-GDM) is proposed with following two main components: (1) the modelling of trust relationship with linguistic information; and (2) the minimum adjustment cost feedback mechanism. To do so, a distributed linguistic trust decision making space is defined, which includes the novel concepts of distributed linguistic trust functions, expectation degree, uncertainty degrees and ranking method. Then, a social network analysis (SNA) methodology is developed to represent and model trust relationship between a networked group, and the trust in-degree centrality indexes are calculated to assign an importance degree to the associated user. To identify the inconsistent users, three levels of consensus degree with distributed linguistic trust functions are calculated. Then, a novel feedback mechanism is activated to generate recommendation advices for the inconsistent users to increase the group consensus degree. Its novelty is that it produces the boundary feedback parameter based on the minimum adjustment cost optimisation model. Therefore, the inconsistent users are able to reach the threshold value of group consensus incurring a minimum modification of their opinions or adjustment cost, which provides the optimum balance between group consensus and individual independence. Finally, after consensus has been achieved, a ranking order relation for distributed linguistic trust functions is constructed to select the most appropriate alternative of consensus.
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Keyword:
Consensus; Distributed Linguistic Trust; Feedback Mechanism; Group Decision Making; Minimum Adjustment Optimization Model; Social Network Analysis
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URL: http://hdl.handle.net/2086/14514 https://doi.org/10.1016/j.inffus.2017.09.012
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Tibetan Trisyllabic Light Verb Construction Recognition
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In: Zhao, Weina; Li, Lin; Liu, Huidan; & Wu, Jian. (2016). Tibetan Trisyllabic Light Verb Construction Recognition. Himalayan Linguistics, 15(1). doi:10.5070/H915130102. Retrieved from: http://www.escholarship.org/uc/item/2226c4k2 (2016)
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A Chinese to Tibetan Machine Translation System with Multiple Translating Strategies
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In: Liu, Huidan; Zhao, Weina; Yu, Xin; & Wu, Jian. (2016). A Chinese to Tibetan Machine Translation System with Multiple Translating Strategies. Himalayan Linguistics, 15(1). doi:10.5070/H915130103. Retrieved from: http://www.escholarship.org/uc/item/6kz2v0g3 (2016)
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Trust Based Consensus Model for Social Network in an Incomplete Linguistic Information Context
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Visual consensus feedback mechanism for group decision making with complementary linguistic preference relations
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Consistency based estimation of fuzzy linguistic preferences. The case of reciprocal intuitionistic fuzzy preference relations
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Automatic Identification of Research Articles from Crawled Documents
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In: Seventh International Conference on Web Search and Data Mining, February 24-28, 2014, New York City, New York. (2014)
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