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Published in 2022 at "Health Economics"
DOI: 10.1002/hec.4512
Abstract: Abstract The Italian National Healthcare Service relies on per capita allocation for healthcare funds, despite having a highly detailed and wide range of data to potentially build a complex risk‐adjustment formula. However, heterogeneity in data…
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Keywords:
granularity;
risk adjustment;
data availability;
risk ... See more keywords
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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03854-2
Abstract: In recent years, cost-sensitive feature selection has drawn much attention. However, some issues still remain to be investigated. Particularly, most existing work deals with single-typed data, while only a few studies deal with hybrid data;…
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Keywords:
granularity;
granularity selection;
feature granularity;
cost ... See more keywords
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Published in 2020 at "Machine Translation"
DOI: 10.1007/s10590-019-09243-8
Abstract: In neural machine translation (NMT), it has become standard to translate using subword units to allow for an open vocabulary and improve accuracy on infrequent words. Byte-pair encoding (BPE) and its variants are the predominant…
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Keywords:
machine;
optimizing segmentation;
granularity;
machine translation ... See more keywords
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Published in 2020 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-019-01591-y
Abstract: We study a new technique to check the existence of feasible points for mixed-integer nonlinear optimization problems that satisfy a structural requirement called granularity. For granular optimization problems, we show how rounding the optimal points…
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Keywords:
granularity;
granularity nonlinear;
mixed integer;
optimization ... See more keywords
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Published in 2018 at "Cognitive Computation"
DOI: 10.1007/s12559-018-9613-6
Abstract: Classical data mining algorithms are considered inadequate to manage the volume, variety, velocity, and veracity aspects of big data. The advent of a number of open-source cluster-computing frameworks has opened new interesting perspectives for handling…
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Keywords:
big data;
objective evolutionary;
granularity;
multi objective ... See more keywords
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Published in 2019 at "International Journal of Disaster Risk Reduction"
DOI: 10.1016/j.ijdrr.2019.101081
Abstract: Abstract Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs…
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Keywords:
decision making;
granularity;
proportional hesitant;
multi granularity ... See more keywords
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Published in 2018 at "Journal of Cereal Science"
DOI: 10.1016/j.jcs.2018.03.013
Abstract: Abstract The antioxidant potential of heteropolysaccharides (HPS) isolated from several types of rye and wheat bran differing in terms of granularity (FG – fine granularity, CG – coarse granularity, and WM – wholegrain) was determined.…
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Keywords:
rye wheat;
granularity;
wheat;
wheat bran ... See more keywords
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Published in 2021 at "Optics Communications"
DOI: 10.1016/j.optcom.2020.126473
Abstract: Abstract In this paper, we study the multi-granularity switching of SDM optical network. We design and demonstrate a novel multi-granularity SDM ROADM. The optical node is a simple two-layer architecture, which has the functions of all-optical multi-granularity…
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Keywords:
novel multi;
sdm roadm;
multi granularity;
granularity ... See more keywords
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Published in 2019 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2020.01.084
Abstract: Abstract Educational and research manufacturing systems, such as learning factories, provide an environment to learn, test and implement new product and business solutions, research ideas and system paradigms. When learning factories become physically changeable, they…
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Keywords:
system;
granularity;
complexity;
level ... See more keywords
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Published in 2022 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2020.00.072
Abstract: Unsupervised person re-identification (Re-ID) aims to improve the model's scalability and obtain better Re-ID results in the unlabeled data domain. In this paper, we propose an unsupervised person Re-ID method based on multi-granularity feature representation…
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Keywords:
person;
multi granularity;
granularity;
domain ... See more keywords
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Published in 2019 at "Ocular Immunology and Inflammation"
DOI: 10.1080/09273948.2017.1353104
Abstract: ABSTRACT Purpose: To describe multiple evanescent white dot syndrome (MEWDS)-related foveal granularity features on different imaging modalities. Methods: Clinical and multi-imaging files from five patients affected by MEWDS were reviewed. Each image set included: blue…
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Keywords:
evanescent white;
dot syndrome;
multiple evanescent;
granularity ... See more keywords