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Knowledge Science, Engineering and Management 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part IV
Title
Knowledge Science, Engineering and Management [electronic resource] : 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part IV / edited by Zhi Jin, Yuncheng Jiang, Robert Andrei Buchmann, Yaxin Bi, Ana-Maria Ghiran, Wenjun Ma.
ISBN
9783031402920
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (XXIV, 471 p.) 124 illus., 112 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This 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. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
August 11, 2023
Series
Lecture Notes in Artificial Intelligence, 14120
Contents
Emerging technologies for Knowledge science, engineering and management
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering
Advancing Domain Adaptation of BERT by Learning Domain Term Semantics
Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds
An Enhanced Distributed Algorithm for Area Skyline Computation based on Apache Spark
TCMCoRep: Traditional Chinese Medicine data mining with Contrastive Graph Representation Learning
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models
PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning
A Cybersecurity Knowledge Graph Completion Method for Scalable Scenarios
Research on remote sensing image classification based on Transfer learning and Data Augmentation
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism
Multi-hop Reading Comprehension Learning Method Based on Answer Contrastive Learning
Importance-based Neuron Selective Distillation for Interference Mitigation in Multilingual Neural Machine Translation
Are GPT Embeddings Useful for Ads and Recommendation?
Modal interaction-enhanced Prompt Learning by transformer decoder for Vision-Language Models
Unveiling Cybersecurity Threats from Online Chat Groups: A Triple Extraction Approach
KSRL: Knowledge Selection based Reinforcement Learning for Knowledge-Grounded Dialogue
Prototype-Augmented Contrastive Learning for Few-shot Unsupervised Domain Adaptation
Style Augmentation and Domain-aware Parametric Contrastive Learning for Domain Generalization
Recent Progress on Text Summarisation Based on BERT and GPT
Ensemble Strategy Based on Deep Reinforcement Learning for Portfolio Optimization
A Legal Multi-Choice Question Answering Model Based on BERT and Attention
Offline Reinforcement Learning with Diffusion-Based Behavior Cloning Term
Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification
Learning Category Discriminability for Active Domain Adaptation
Multi-Level Contrastive Learning for Commonsense Question Answering
Efficient Hash Coding for Image Retrieval based on Improved Center Generation and Contrastive Pre-training Knowledge Model
Univarite Time Series Forecasting via Interactive Learning
Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge
A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries
Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction
udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge
Joint Community and Structural Hole Spanner Detection via Graph Contrastive Learning
A Reinforcement Learning-based Approach for Continuous Knowledge Graph Construction
A Multifactorial Evolutionary Algorithm based on Model Knowledge Transfer
Knowledge Leadership, AI Technology Adoption and Big Data Application Ability
RFLSem: A lightweight model for textual sentiment analysis.
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