000 04707nam a22006375i 4500
001 978-3-031-10986-7
003 DE-He213
005 20240730203321.0
007 cr nn 008mamaa
008 220718s2022 sz | s |||| 0|eng d
020 _a9783031109867
_9978-3-031-10986-7
024 7 _a10.1007/978-3-031-10986-7
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aKnowledge Science, Engineering and Management
_h[electronic resource] :
_b15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II /
_cedited by Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXV, 701 p. 226 illus., 195 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13369
505 0 _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 KeyphraseGeneration 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.
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 6-8, 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).
650 0 _aArtificial intelligence.
_93407
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9175414
650 0 _aEducation
_xData processing.
_982607
650 0 _aApplication software.
_9175415
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aComputers and Education.
_941129
650 2 4 _aComputer and Information Systems Applications.
_9175416
700 1 _aMemmi, Gerard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9175417
700 1 _aYang, Baijian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9175418
700 1 _aKong, Linghe.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9175419
700 1 _aZhang, Tianwei.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9175420
700 1 _aQiu, Meikang.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9175421
710 2 _aSpringerLink (Online service)
_9175422
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031109850
776 0 8 _iPrinted edition:
_z9783031109874
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13369
_9175423
856 4 0 _uhttps://doi.org/10.1007/978-3-031-10986-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c97441
_d97441