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Knowledge Science, Engineering and Management : 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part II / edited by Gerard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, Meikang Qiu.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 13369
- Lecture Notes in Artificial Intelligence ; 13369
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Image processing-Digital techniques.
- Computer vision.
- Education-Data processing.
- Application software.
- Artificial Intelligence.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computers and Education.
- Computer and Information Systems Applications.
- Local Subjects:
- Artificial Intelligence.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computers and Education.
- Computer and Information Systems Applications.
- Physical Description:
- 1 online resource (XV, 701 pages) : 226 illustrations, 195 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- The 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).
- Contents:
- Knowledge 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 Keyphrase Generation 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-10986-7
- 9783031109867
- Access Restriction:
- Restricted for use by site license.
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