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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22775
Abstract: Fine‐grained classification tasks are challenging because fine‐grained data sets are quite scarce. Thus, we utilized the domain adaptation method to migrate knowledge from large, labeled data sets to fine‐grained target data sets. We employed the…
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Keywords:
domain adaptation;
classification;
domain;
fine grained ... See more keywords
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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22810
Abstract: Video streaming applications are rapidly proliferating, allowing users to browse, download, and share videos through platforms such as YouTube, Netflix, and Amazon. Media content providers are required to register copyrights on digital platforms. With the…
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Keywords:
video sharing;
grained access;
toward fine;
fine grained ... See more keywords
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Published in 2017 at "River Research and Applications"
DOI: 10.1002/rra.3194
Abstract: Excessive inputs of fine-grained sediment can damage aquatic ecosystems both by degrading habitat condition and by directly impairing biota. Recent research has improved our understanding of how benthic macroinvertebrates respond to fine-grained sediment stress, leading…
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Keywords:
fine sediment;
grained sediment;
fine grained;
macroinvertebrate biological ... See more keywords
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Published in 2020 at "Contributions to Mineralogy and Petrology"
DOI: 10.1007/s00410-020-01753-6
Abstract: Coexisting fine-grained (meta-volcanic) and coarse-grained (meta-plutonic) mafic rocks in a high-pressure (P)/low-temperature (T) complex (Sivrihisar, Turkey) preserve different prograde, peak, and retrograde mineral assemblages, providing an opportunity to evaluate controls on mineral assemblages in metabasites…
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Keywords:
mineral;
fine grained;
h2o content;
mineral assemblages ... See more keywords
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Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2963-2
Abstract: Natural language processing (NLP) is the technology that enables machine to process human language. Entity recognition is one of the most basic tasks in NLP. It aims to identify and classify the name of each…
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Keywords:
entity type;
fine grained;
entity;
type classification ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04880-1
Abstract: This paper proposed a deep ranking model for triplet selection to efficiently learn similarity metric from top ranked images. A modified distance criterion described in the current work leverages the intra-category variance in metric learning…
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Keywords:
triplet;
fine grained;
loss function;
variance ... See more keywords
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Published in 2017 at "Bulletin of Engineering Geology and the Environment"
DOI: 10.1007/s10064-017-1094-4
Abstract: The study is devoted to the strength and deformation behavior of fine-grained sandstone. A series of triaxial compression tests were conducted on rock samples under various confining pressures (3, 5, 10, 15, and 20 MPa) in…
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Keywords:
triaxial compression;
behavior fine;
fine grained;
grained sandstone ... See more keywords
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Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-022-03355-0
Abstract: Data augmentation has been proved effective in training deep models. Existing data augmentation methods tackle finegrained problem by blending image pairs and fusing corresponding labels according to the statistics of mixed pixels, which produces additional…
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Keywords:
knowledge distillation;
distillation;
ensemble knowledge;
fine grained ... See more keywords
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Published in 2018 at "Language Resources and Evaluation"
DOI: 10.1007/s10579-018-9414-2
Abstract: To push the state of the art in text mining applications, research in natural language processing has increasingly been investigating automatic irony detection, but manually annotated irony corpora are scarce. We present the construction of…
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Keywords:
detection;
exploring fine;
grained analysis;
fine grained ... See more keywords
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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0863-y
Abstract: WSN-integrated cloud computing (WCC) has become a promising cloud service architecture, in which sensors and mobile devices are utilized as the data collecting and processing nodes for the cloud service model, while cloud servers can…
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Keywords:
data access;
wsn;
fine grained;
access control ... See more keywords
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Published in 2018 at "Machine Translation"
DOI: 10.1007/s10590-018-9214-x
Abstract: This paper presents a quantitative fine-grained manual evaluation approach to comparing the performance of different machine translation (MT) systems. We build upon the well-established multidimensional quality metrics (MQM) error taxonomy and implement a novel method…
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Keywords:
machine;
phrase;
machine translation;
fine grained ... See more keywords