1 |
Document Domain Randomization for Deep Learning Document Layout Extraction
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
2 |
Document Domain Randomization for Deep Learning Document Layout Extraction ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
A Neural Network-Based Linguistic Similarity Measure for Entrainment in Conversations ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Extractive Research Slide Generation Using Windowed Labeling Ranking ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
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 ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
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 ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Audio-visual Recognition of Overlapped speech for the LRS2 dataset ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
9 |
Additional file 1: of Prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Additional file 1: of Prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
|
|
|
|
BASE
|
|
Show details
|
|
12 |
An interaction consensus in group decision making under distributed trust information
|
|
|
|
BASE
|
|
Show details
|
|
13 |
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Tibetan Trisyllabic Light Verb Construction Recognition
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
15 |
A Chinese to Tibetan Machine Translation System with Multiple Translating Strategies
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
16 |
Trust Based Consensus Model for Social Network in an Incomplete Linguistic Information Context
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Visual consensus feedback mechanism for group decision making with complementary linguistic preference relations
|
|
|
|
Abstract:
A visual consensus feedback mechanism for group decision making (GDM) problems with complementary linguistic preference relations is presented. Linguistic preferences are modelled using triangular fuzzy membership functions, and the concepts of similarity degree (SD) between two experts as well as the proximity degree (PD) between an expert and the rest of experts in the group are defined and used to measure the consensus level (CL). A feedback mechanism is proposed to identify experts, alternatives and corresponding preference values that contribute less to consensus. The novelty of this feedback mechanism is that it provides experts with visual representations of their consensus status to easily see their consensus position 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 mechanism also includes individualised recommendations to those identified experts on changing their identified preference values and visual graphical simulation of future consensus status if the recommended values were to be implemented.
|
|
Keyword:
Consensus; Group decisions making; linguistic preferences; Visual feedback mechanism
|
|
URL: https://doi.org/10.1007/978-3-319-12054-6_7 http://hdl.handle.net/2086/10549
|
|
BASE
|
|
Hide details
|
|
19 |
Consistency based estimation of fuzzy linguistic preferences. The case of reciprocal intuitionistic fuzzy preference relations
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Automatic Identification of Research Articles from Crawled Documents
|
|
|
|
In: Seventh International Conference on Web Search and Data Mining, February 24-28, 2014, New York City, New York. (2014)
|
|
BASE
|
|
Show details
|
|
|
|