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001448306 001__ 1448306
001448306 003__ OCoLC
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001448306 019__ $$a1337066539
001448306 020__ $$a9783031109867$$q(electronic bk.)
001448306 020__ $$a3031109864$$q(electronic bk.)
001448306 020__ $$z9783031109850
001448306 020__ $$z3031109856
001448306 0247_ $$a10.1007/978-3-031-10986-7$$2doi
001448306 035__ $$aSP(OCoLC)1336954694
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001448306 049__ $$aISEA
001448306 050_4 $$aQA76.76.E95
001448306 08204 $$a006.3/31$$223/eng/20220729
001448306 1112_ $$aKSEM (Conference)$$n(15th :$$d2021 :$$cSingapore)
001448306 24510 $$aKnowledge science, engineering and management :$$b15th international conference, KSEM 2022, Singapore, August 6-8, 2022 : proceedings.$$nPart II /$$cGerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu (eds.).
001448306 24630 $$aKSEM 2022
001448306 264_1 $$aCham :$$bSpringer,$$c[2022]
001448306 264_4 $$c©2022
001448306 300__ $$a1 online resource :$$billustrations (chiefly color).
001448306 336__ $$atext$$btxt$$2rdacontent
001448306 337__ $$acomputer$$bc$$2rdamedia
001448306 338__ $$aonline resource$$bcr$$2rdacarrier
001448306 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v13369
001448306 4901_ $$aLNCS sublibrary: SL7 - artificial intelligence
001448306 500__ $$aInternational conference proceedings.
001448306 500__ $$aIncludes author index.
001448306 5050_ $$aKnowledge Engineering Research and Applications (KERA) -- Multi-View Heterogeneous Network Embedding -- A Multi-level Attention-based LSTM Network for Ultra-short-term Solar Power Forecast using Meteorological Knowledge -- Unsupervised Person Re-ID via Loose-Tight Alternate Clustering -- Sparse Dense Transformer Network for Video Action Recognition -- Deep User Multi-Interest Network for Click-Through Rate Prediction -- Open Relation Extraction via Query-based Span Prediction -- Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations -- Mario Fast Learner: Fast and Efficient solutions for Super Mario Bros -- Few-shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering -- Data-driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel -- Deep-to-bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation -- Topic and Reference Guided Keyphrase Generation from Social Media -- DISEL: A Language for Specifying DIS-based Ontologies -- MSSA-FL:High-Performance Multi-Stage Semi-Asynchronous Federated Learning with Non-IID Data -- A GAT-based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences -- Incorporating Explanation to Balance the Exploration and Exploitation of Deep Reinforcement Learning.
001448306 506__ $$aAccess limited to authorized users.
001448306 520__ $$aThe three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 68, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS).
001448306 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 29, 2022).
001448306 650_0 $$aKnowledge acquisition (Expert systems)$$vCongresses.
001448306 650_0 $$aKnowledge management$$vCongresses.
001448306 650_0 $$aDecision making$$xData processing$$vCongresses.
001448306 650_0 $$aProblem solving$$xData processing$$vCongresses.
001448306 650_0 $$aInformation technology$$vCongresses.
001448306 650_0 $$aData mining$$vCongresses.
001448306 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001448306 655_7 $$aConference papers and proceedings.$$2lcgft
001448306 655_0 $$aElectronic books.
001448306 7001_ $$aMemmi, Gerard,$$eeditor.
001448306 7001_ $$aYang, Baijian,$$d1972-$$eeditor.
001448306 7001_ $$aKong, Linghe,$$eeditor.
001448306 7001_ $$aZhang, Tianwei,$$eeditor.
001448306 7001_ $$aQiu, Meikang,$$eeditor.
001448306 77608 $$iPrint version: $$z3031109856$$z9783031109850$$w(OCoLC)1330406690
001448306 830_0 $$aLecture notes in computer science ;$$v13369.
001448306 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001448306 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001448306 852__ $$bebk
001448306 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-10986-7$$zOnline Access$$91397441.1
001448306 909CO $$ooai:library.usi.edu:1448306$$pGLOBAL_SET
001448306 980__ $$aBIB
001448306 980__ $$aEBOOK
001448306 982__ $$aEbook
001448306 983__ $$aOnline
001448306 994__ $$a92$$bISE