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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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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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Abstract:
A theoretical framework to consensus building within a networked social group is put forward. This article investigates a trust based estimation and aggregation methods as part of a visual consensus model for multiple criteria group decision making with incomplete linguistic information. A novel trust propagation method is proposed to derive trust relationship from an incomplete connected trust network and the trust score induced order weighted averaging operator is presented to aggregate the orthopairs of trust/distrust values obtained from different trust paths. Then, the concept of relative trust score is defined, whose use is twofold: (1) to estimate the unknown preference values and (2) as a reliable source to determine experts' weights. A visual feedback process is developed to provide experts with graphical representations of their consensus status within the group as well as to identify the alternatives and preference values that should be reconsidered for changing in the subsequent consensus round. The feedback process also includes a recommendation mechanism to provide advice to those experts that are identified as contributing less to consensus on how to change their identified preference values. It is proved that the implementation of the visual feedback mechanism guarantees the convergence of the consensus reaching process.
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Keyword:
Incomplete linguistic information; Multiple criteria group decision making; Social network; Trust aggregation; Trust propagation; Visual feedback
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URL: http://hdl.handle.net/2086/10841 https://doi.org/10.1016/j.asoc.2015.02.023
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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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