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Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I

Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I (Paperback)

Baijian Yang, Meikang Qiu, Gerard Memmi, Linghe Kong, Tianwei Zhang (엮은이)
Springer
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Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I
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책 정보

· 제목 : Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part I (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9783031109829
· 쪽수 : 753쪽
· 출판일 : 2022-07-24

목차

?Knowledge Science with Learning and AI (KSLA).- A decoupled YOLOv5 with deformable convolution and multi-scale attention.- OTE: An Optimized Chinese Short Text Matching Algorithm based on External Knowledge.- KIR: A Knowledge­-enhanced Interpretable Recommendation Method.- ICKEM: a tool for estimating one's understanding of conceptual knowledge.- Cross-perspective Graph Contrastive Learning.- A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction.- Pre-train Unified Knowledge Graph Embedding with Ontology.- Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection.- A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks.- Construction Research and Applications of Industry Chain Knowledge Graphs.- Query and Neighbor-aware Reasoning based Multi-hop Question Answering over Knowledge Graph.- Question Answering over Knowledge Graphs with Query Path Generation.- Improving Parking Occupancy Prediction in Poor Data Conditions through Customization and Learning to Learn.- Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network.- Answering Complex Questions on Knowledge Graphs.- Multi-Attention User Information Based Graph Convolutional Networks for Explainable Recommendation.- Edge-shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule.

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