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001476006 001__ 1476006
001476006 003__ OCoLC
001476006 005__ 20231003174628.0
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001476006 020__ $$a9783031402838$$q(electronic bk.)
001476006 020__ $$a3031402839$$q(electronic bk.)
001476006 020__ $$z9783031402821
001476006 0247_ $$a10.1007/978-3-031-40283-8$$2doi
001476006 035__ $$aSP(OCoLC)1394019620
001476006 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE
001476006 049__ $$aISEA
001476006 050_4 $$aQA76.76.E95$$bK77 2023eb
001476006 08204 $$a006.3/31$$223/eng/20230817
001476006 1112_ $$aKSEM (Conference)$$n(16th :$$d2023 :$$cGuangzhou, China)
001476006 24510 $$aKnowledge science, engineering and management :$$b16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings.$$nPart I /$$cZhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma, editors.
001476006 2463_ $$aKSEM 2023
001476006 264_1 $$aCham :$$bSpringer,$$c2023.
001476006 300__ $$a1 online resource (xxiv, 457 pages) :$$billustrations (some color).
001476006 336__ $$atext$$btxt$$2rdacontent
001476006 337__ $$acomputer$$bc$$2rdamedia
001476006 338__ $$aonline resource$$bcr$$2rdacarrier
001476006 4901_ $$aLecture notes in artificial intelligence
001476006 4901_ $$aLecture notes in computer science ;$$v14117
001476006 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001476006 500__ $$aIncludes author index.
001476006 5050_ $$aKnowledge Science with Learning and AI -- Joint Feature Selection and Classifier Parameter Optimization: A Bio-inspired Approach -- Automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis -- Boosting LightWeight Depth Estimation Via Knowledge Distillation -- Graph Neural Network with Neighborhood Reconnection -- Critical Node Privacy Protection Based on Random Pruning of Critical Trees -- DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound -- Multitask-based Cluster Transmission for Few-Shot Text Classification -- Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties -- RTAD-TP: Real- Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two- Parameter Estimation -- Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction -- A Sparse Matrix Optimization Method for Graph Neural Networks Training -- Dual-dimensional Refinement of Knowledge Graph Embedding Representation -- Contextual Information Augmented Few-Shot Relation Extraction -- Dynamic and Static Feature-aware Microservices Decomposition via Graph Neural Networks -- An Enhanced Fitness-distance Balance Slime Mould Algorithm and Its Application in Feature Selection -- Low Redundancy Learning for Unsupervised Multi-view Feature Selection -- Dynamic Feed-Forward LSTM -- Black-box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge -- Role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks -- Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion -- Subspace Clustering with Feature Grouping for Categorical Data -- Learning Graph Neural Networks on Feature-Missing Graphs -- Dealing with Over-reliance on Background Graph for Few-shot Knowledge Graph Completion -- Kernel-based feature extraction for time series clustering -- Cluster Robust Inference for embedding-based Knowledge Graph Completion -- Community-enhanced Contrastive Siamese networks for Graph Representation Learning -- Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention -- Enhancing Adversarial Robustness via Anomaly-aware Adversarial Training -- An Improved Cross-Validated Adversarial Validation Method -- EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification -- Joint Label-Structure Estimation from Multifaceted Graph Data -- Dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation -- Multi-Dimensional Graph Rule Learner -- MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs -- Robust Few-shot Graph Anomaly Detection via Graph Coarsening -- An Evaluation Metric for Prediction Stability with Imprecise Data -- Reducing The Teacher-Student Gap Via Elastic Student.
001476006 506__ $$aAccess limited to authorized users.
001476006 520__ $$aThis volume set constitutes the refereed proceedings of the 16th International Conference on Knowledge Science, Engineering and Management, KSEM 2023, which was held in Guangzhou, China, during August 16-18, 2023. The 114 full papers and 30 short papers included in this book were carefully reviewed and selected from 395 submissions. They were organized in topical sections as follows: knowledge science with learning and AI; knowledge engineering research and applications; knowledge management systems; and emerging technologies for knowledge science, engineering and management.
001476006 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 17, 2023).
001476006 650_0 $$aKnowledge acquisition (Expert systems)$$vCongresses.
001476006 650_0 $$aKnowledge management$$vCongresses.
001476006 650_0 $$aDecision making$$xData processing$$vCongresses.
001476006 650_0 $$aProblem solving$$xData processing$$vCongresses.
001476006 650_0 $$aInformation technology$$vCongresses.
001476006 650_0 $$aData mining$$vCongresses.
001476006 655_0 $$aElectronic books.
001476006 7001_ $$aJin, Zhi,$$d1962-$$eeditor.$$1https://orcid.org/0000-0003-1087-226X
001476006 7001_ $$aJiang, Yuncheng,$$eeditor.$$0(orcid)0000-0002-4294-454X$$1https://orcid.org/0000-0002-4294-454X
001476006 7001_ $$aBuchmann, Robert Andrei,$$eeditor.$$0(orcid)0000-0002-7385-1610$$1https://orcid.org/0000-0002-7385-1610
001476006 7001_ $$aBi, Yaxin,$$eeditor.$$1https://orcid.org/0000-0002-0979-4084
001476006 7001_ $$aGhiran, Ana-Maria,$$eeditor.$$0(orcid)0000-0001-7890-9386$$1https://orcid.org/0000-0001-7890-9386
001476006 7001_ $$aMa, Wenjun,$$eeditor.$$0(orcid)0000-0003-4600-398X$$1https://orcid.org/0000-0003-4600-398X
001476006 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001476006 830_0 $$aLecture notes in computer science ;$$v14117.
001476006 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001476006 852__ $$bebk
001476006 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-40283-8$$zOnline Access$$91397441.1
001476006 909CO $$ooai:library.usi.edu:1476006$$pGLOBAL_SET
001476006 980__ $$aBIB
001476006 980__ $$aEBOOK
001476006 982__ $$aEbook
001476006 983__ $$aOnline
001476006 994__ $$a92$$bISE