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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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| 11 |
Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
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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. ; Nowadays in the social network based decision making processes, as the ones involved in e-commerce and e-democracy, multiple users with di erent backgrounds may take part and diverse alternatives might be involved. This diversity enriches the process but at the same time increases the uncertainty in the opinions. This uncertainty can be considered from two di erent perspectives: (i) the uncertainty in the meaning of the words given as preferences, that is motivated by the heterogeneity of the decision makers, (ii) the uncertainty inherent to any decision making process that may lead to an expert not being able to provide all their judgments. The main objective of this contribution is to address these two type of uncertainty. To do so the following approaches are proposed: Firstly, in order to capture, process and keep the uncertainty in the meaning of the linguistic assumption the Interval Type 2 Fuzzy Sets are introduced as a way to model the experts linguistic judgments. Secondly, a measure of the coherence of the information provided by each decision maker is proposed. Finally, a consistency based completion approach is introduced to deal with the uncertainty presented in the expert judgments. The proposed approach is tested in an e-democracy decision making scenario.
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Keyword:
; consistency; e-democracy; Group decision making; Incomplete information; Interval type 2 fuzzy sets; Linguistic preference relations; Uncertainty
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URL: https://doi.org/10.1002/int.22095
http://hdl.handle.net/2086/17489
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| 12 |
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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| 14 |
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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