000 06362nam a22006735i 4500
001 978-3-031-40283-8
003 DE-He213
005 20240730181033.0
007 cr nn 008mamaa
008 230803s2023 sz | s |||| 0|eng d
020 _a9783031402838
_9978-3-031-40283-8
024 7 _a10.1007/978-3-031-40283-8
_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] :
_b16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part I /
_cedited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXXIV, 457 p. 124 illus., 108 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 ;
_v14117
505 0 _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 -- ReducingThe Teacher-Student Gap Via Elastic Student.
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. .
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aComputers.
_98172
650 0 _aSocial sciences
_xData processing.
_983360
650 0 _aComputer science.
_99832
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Engineering and Networks.
_9123058
650 2 4 _aComputing Milieux.
_955441
650 2 4 _aComputer Application in Social and Behavioral Sciences.
_931815
650 2 4 _aComputer Science.
_99832
700 1 _aJin, Zhi.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9123059
700 1 _aJiang, Yuncheng.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9123060
700 1 _aBuchmann, Robert Andrei.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9123061
700 1 _aBi, Yaxin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9123062
700 1 _aGhiran, Ana-Maria.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9123063
700 1 _aMa, Wenjun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9123064
710 2 _aSpringerLink (Online service)
_9123065
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031402821
776 0 8 _iPrinted edition:
_z9783031402845
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v14117
_9123066
856 4 0 _uhttps://doi.org/10.1007/978-3-031-40283-8
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c90661
_d90661