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標(biāo)題: Titlebook: Knowledge Science, Engineering and Management; 12th International C Christos Douligeris,Dimitris Karagiannis,Dimitris Conference proceedin [打印本頁]

作者: HAG 時(shí)間: 2025-3-21 18:14
書目名稱Knowledge Science, Engineering and Management影響因子(影響力)

書目名稱Knowledge Science, Engineering and Management影響因子(影響力)學(xué)科排名

書目名稱Knowledge Science, Engineering and Management網(wǎng)絡(luò)公開度

書目名稱Knowledge Science, Engineering and Management網(wǎng)絡(luò)公開度學(xué)科排名

書目名稱Knowledge Science, Engineering and Management被引頻次

書目名稱Knowledge Science, Engineering and Management被引頻次學(xué)科排名

書目名稱Knowledge Science, Engineering and Management年度引用

書目名稱Knowledge Science, Engineering and Management年度引用學(xué)科排名

書目名稱Knowledge Science, Engineering and Management讀者反饋

書目名稱Knowledge Science, Engineering and Management讀者反饋學(xué)科排名

作者: 凹槽 時(shí)間: 2025-3-21 22:07
TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTMfacilitating information classification and organization. However, the insufficient understanding of software objects and the lack of relevant knowledge among developers may lead to incorrect tags. Thus, the automatic tag recommendation technique has been proposed. However, tag explosion and tag syn

作者: Canvas 時(shí)間: 2025-3-22 04:24
Application of Probabilistic Process Model for Smart Factory Systemsertainty, it is necessary to model predictability of the systems, based on the uncertainty. There have been several process algebras with probability, such as, PAROMA, PACSR, etc. However they are not well suitable for the smart systems, since they are based only on discrete model or exponential mod

作者: aplomb 時(shí)間: 2025-3-22 04:38

作者: compassion 時(shí)間: 2025-3-22 10:39

作者: GLOSS 時(shí)間: 2025-3-22 13:43

作者: 宣稱 時(shí)間: 2025-3-22 17:54
Dynamic Task-Specific Factors for Meta-Embeddingemantics. The supervised learning of task-specific meta-embedding is a convenient way to make use of accessible pre-trained word embeddings. However, the weights for different word embeddings are hard to calculate. We introduce the dynamic task-specific factors into meta-embedding (DTFME), which are

作者: 拔出 時(shí)間: 2025-3-23 01:15

作者: 慎重 時(shí)間: 2025-3-23 04:36

作者: LURE 時(shí)間: 2025-3-23 07:26

作者: Acetaldehyde 時(shí)間: 2025-3-23 11:58
Text-Based Fusion Neural Network for Rumor Detection this paper, we propose a fusion neural network based on the text for rumor detection, which is called Text-based Fusion Neural Network (T-FNN). For accurately extracting contextual features, we present a new data processing algorithm, and construct a fusion neural network including bi-directional g

作者: Esophagus 時(shí)間: 2025-3-23 17:37
Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discriminations. It is a simple but effective way to synthesize images based on text descriptions. Our method generates the refined foreground image in the first stage, and then combines the text description to generate the final high-resolution image in second stage. We demonstrate the performance of the propose

作者: Mawkish 時(shí)間: 2025-3-23 21:44
Word Embeddings for Unsupervised Named Entity Linkingt real-world applications and domains. In particular, microblogging platforms enables the collection of continuously and instantly updated information. The organization and extraction of valuable knowledge from these contents are fundamental for ensuring profitability and efficiency to companies and

作者: 逗留 時(shí)間: 2025-3-23 23:03

作者: Spartan 時(shí)間: 2025-3-24 04:29
A New Method for Complex Triplet Extraction of Biomedical Textsrlap heavily. Although existing biomedical relation extraction methods have higher accuracy, they still have two problems. First, most of those methods hardly consider relations overlap problem. A lot of precious biomedical information is neglected. In addition, the entities in biomedical text are i

作者: FLIC 時(shí)間: 2025-3-24 10:19

作者: LAY 時(shí)間: 2025-3-24 13:29
A Two-Stage Model Based on BERT for Short Fake News Detections get worse because of fake news. Fake news is flooding and become a serious threat which may cause high societal and economic losses, making fake news detection important. Unlike traditional one, news on social media tends to be short and misleading, which is more confusing to identify. On the othe

作者: neutralize 時(shí)間: 2025-3-24 18:10
Guangjian Huang,Yuncheng Jiang,Wenjun Ma,Weiru Liu Periode namentlich im Felde der physikalischen Wissenschaften sollten in der Folgezeit, vor allem der zweiten H?lfte des 18. Jahrhunderts, in ihrer Anwendung der Technik ungemeine F?rderung bringen. Die gro?en Erfolge der neuen messenden, auf reiner Au?enerfassung beruhenden Physik Galileis, die ti

作者: Fallibility 時(shí)間: 2025-3-24 19:24

作者: considerable 時(shí)間: 2025-3-25 01:41

作者: Inflated 時(shí)間: 2025-3-25 05:52
Application of Probabilistic Process Model for Smart Factory Systemsfor Smart Factory, and further the simulation results will be analyzed for probabilistic properties of the systems. For implementation, a tool set for the calculus has been developed in the SAVE tool suite on the ADOxx Meta-Modeling Platform, including Specifier, Analyzer and Verifier. A Smart Facto

作者: affect 時(shí)間: 2025-3-25 08:37
A Distributed Topic Model for Large-Scale Streaming Textated. The model convergence is guaranteed through a distributed variation inference algorithm. Extensive experiments conducted on several real-world datasets demonstrate the usability and scalability of the proposed algorithm.

作者: acheon 時(shí)間: 2025-3-25 14:51
Automated Mining and Checking of Formal Properties in Natural Language Requirementso parse requirement sentences and map syntactic dependencies to LTL formulas by using our extraction rules. Also, we apply the automata-based model checking to assess the correctness and consistency of the extracted properties. Through implementation and case studies, we demonstrate that our approac

作者: 毗鄰 時(shí)間: 2025-3-25 16:53
A Shallow Semantic Parsing Framework for Event Argument Extractionproaches, we propose a shallow semantic parsing framework to extract event arguments with the event trigger as the predicate and the event arguments as the predicate arguments. In specific, we design and compare different features for the proposed model. The experimental results show that our approa

作者: 束縛 時(shí)間: 2025-3-25 23:58

作者: 收集 時(shí)間: 2025-3-26 02:50

作者: 慌張 時(shí)間: 2025-3-26 06:39

作者: OREX 時(shí)間: 2025-3-26 10:36
A Two-Stage Model Based on BERT for Short Fake News Detectioned by fine-grained sentiment analysis, we treat fake news detection as fine-grained multiple-classification task and use two similar sub-models to identify different granularity labels separately. We evaluate our model on a real-world benchmark dataset. The experimental results demonstrate its effec

作者: 使人入神 時(shí)間: 2025-3-26 13:06

作者: urethritis 時(shí)間: 2025-3-26 16:53
Chao Liu,Xinghua Wu,Min Yu,Gang Li,Jianguo Jiang,Weiqing Huang,Xiang Luer Welt letztlich doch ihre Werthaftigkeit belie?, nicht unwesentlich dazu bei, einem entwicklungsf?higen technischen Schaffen festen Grund zu bereiten. Schlie?lich machten sich in der Technik des Mittelalters vornehmlich durch Vermittlung der islamischen Welt neben antiken auch fern?stliche Einflüs

作者: abreast 時(shí)間: 2025-3-26 23:08

作者: CRACK 時(shí)間: 2025-3-27 03:53
0302-9743 tions. ..The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.?.978-3-030-29562-2978-3-030-29563-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

作者: 善辯 時(shí)間: 2025-3-27 06:21

作者: Lumbar-Stenosis 時(shí)間: 2025-3-27 09:48

作者: 剝皮 時(shí)間: 2025-3-27 16:48

作者: BULLY 時(shí)間: 2025-3-27 19:11
Xiao Wang,Qing Li,Xuehai Ding,Guoqing Zhang,Linhong Weng,Minjie Ding

作者: GEON 時(shí)間: 2025-3-28 01:34

作者: 使殘廢 時(shí)間: 2025-3-28 02:06
0302-9743 ence, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019.. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topic

作者: 彎曲道理 時(shí)間: 2025-3-28 07:50

作者: Regurgitation 時(shí)間: 2025-3-28 12:05

作者: textile 時(shí)間: 2025-3-28 15:20

作者: 強(qiáng)壯 時(shí)間: 2025-3-28 20:28

作者: inflate 時(shí)間: 2025-3-28 23:47

作者: flex336 時(shí)間: 2025-3-29 03:39

作者: LUDE 時(shí)間: 2025-3-29 08:21
Overview of Generation Methods for Business Process Modelsbusiness process model. In this paper, an overview and classification of such techniques which include generating process models from representations such as: natural language text, various notations, other models or logs obtained from an information system is put forward.

作者: 柔聲地說 時(shí)間: 2025-3-29 12:24
Assessing Semantic Similarity Between Concepts Using Wikipedia Based on Nonlinear Fittingres removal, the similarities of generalized synonyms computing, and weighted feature-based methods based on nonlinear fitting. Moreover, we show that our new method can always get a better Pearson correlation coefficient on one or more benchmarks through a set of experimental evaluations.

作者: Arb853 時(shí)間: 2025-3-29 16:15
Conference proceedings 2019neering and Management, KSEM 2019, held in Athens, Greece, in August 2019.. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical section

作者: 辭職 時(shí)間: 2025-3-29 23:26