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ORCID17th KSEM 2024: Birmingham, UK - Part I
- Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari
, Yonghao Wang:
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14884, Springer 2024, ISBN 978-981-97-5491-5
Knowledge Science with Learning and AI (KSLA)
- Jinbiao Tan, Jiafu Wan, Hu Cai, Xiaowei Chen, Baotong Chen:
A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning. 3-15 - Wei Hu, Yi Han, Fang Liu, Mingce Hu, Xingyuan Li:
Elastic Filter Prune in Deep Neural Networks Using Modified Weighted Hybrid Criterion. 16-27 - Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. 28-40 - Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu:
Attention and Learning Features-Enhanced Knowledge Tracing. 41-56 - Jinlong Liu, Xudong Luo:
An MLM Decoding Space Enhancement for Legal Document Proofreading. 57-73 - Yan Chu, Keshi Liu, Songhao Jiang, Xianghui Sun, Baoxu Wang, Zhengkui Wang:
Meta-pruning: Learning to Prune on Few-Shot Learning. 74-85 - Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang, Huajun Chen:
Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer. 86-98 - Abdul Arbaz, Heng Fan, Junhua Ding, Meikang Qiu, Yunhe Feng:
GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. 99-111 - Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng:
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. 112-123 - Xiaopeng Guo, Maojing Shu, Zhijie Huang, Jun Liu, Jun Sun:
Programming Knowledge Tracing with Context and Structure Integration. 124-135 - Yong Zhu, Shuai Xiao, Zhuo Zhang, Jiabao Wen, Meng Xi, Jiachen Yang:
An Konwledge-Based Semi-supervised Active Learning Method for Precision Pest Disease Diagnostic. 136-147 - Dongjie Yuan, Bin Yuan, Yan Zhong:
Multi-label Feature Selection with Adaptive Subspace Learning. 148-160 - Porchourng Chuor, Ashwin Ittoo, Samedi Heng:
User Story Classification with Machine Learning and LLMs. 161-175 - Xiao Li, Junkai Yan, Jianjian Jiang, Wei-Shi Zheng:
PTMA: Pre-trained Model Adaptation for Transfer Learning. 176-188 - Yingshuang Guo, Jianfei Zhang, Junjie Dong, Chen Li, Yuanxin Ouyang, Wenge Rong:
Optimization Strategies for Knowledge Graph Based Distractor Generation. 189-200 - Luyao Yu, Qi Zhang, Chongyang Shi, An Lao, Liang Xiao:
Reinforced Subject-Aware Graph Neural Network for Related Work Generation. 201-213 - Pengfei Jing, Jiguo Liu, Chao Liu, Meimei Li:
EFCC-IeT: Cross-Modal Electronic File Content Correlation via Image-Enhanced Text. 214-227 - Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang:
Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. 228-239 - Rong Qian, ZongFang Lv, YuChen Zhou, ZiQiang Fu, XiaoYu Liu, KeJun Zhang, ZhongKun Ye:
Link Prediction Based on Deep Global Information in Heterogeneous Graph. 240-254 - Xiuxia Tian, Zhuang Pei, Bingxue Li:
Subject Knowledge Entity Relationship Extraction Based on Multi-feature Fusion and Relation Specific Horns Tagging. 255-267 - Xudong Luo, Ying Luo, Yifan Fan, Yanling Li:
A Human-Computer Negotiation Model Based on Q-Learning. 268-283 - Jiahao Jiang, Fei Pu, Jie Cui, Bailin Yang:
Affine Transformation-Based Knowledge Graph Embedding. 284-297 - Luyang Zheng, Hailan Jiang, Jian Wang, Yuqinq Sun:
Integrating Prior Scenario Knowledge for Composition Review Generation. 298-309 - Qiming Zhao, Chuantao Yin, Xin Fan, Hui Chen, Yanmei Chai, Yuanxin Ouyang:
Distant Supervised Relation Extraction on Pre-train Model with Improved Multi-label Attention Mechanism. 310-321 - Shuo Yan, Hongjun Dai, Ruomei Wang, Long Zhang, Guan Wang:
sEMG-Based Multi-view Feature-Constrained Representation Learning. 322-333 - Songhao Jiang, Yan Chu, Tianxing Ma, Xiaochen Miao, Zhengkui Wang, Tianning Zang:
Vicinal Data Augmentation for Classification Model via Feature Weaken. 334-346 - Geying Chen, Anyang Zhong, Jing Peng, Jianfei Yin:
STM: An Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm. 347-359 - Wenxin Dong, Zili Zhang, Huangyao Deng, Chi Zhang:
Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction. 360-375 - Rong Sun, Wenjie Yang, Fuyan Zhang, Yanzhuo Xiang, Hengxi Wang, Yuncheng Jiang:
Automatic Meter Pointer Reading Based on Knowledge Distillation. 376-392 - Bing Wang, Chunhao Wang, Xingpeng Zhang, Chunlan Zhao, Xiaoling Yang, Kuan Guo:
Multi-table Question Answering Method Based on Correlation Evaluation and Precomputed Cube. 393-405 - Jie Wu, Mengshu Hou:
A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching. 406-418 - Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
An In-Context Schema Understanding Method for Knowledge Base Question Answering. 419-434 - Xingyuan Li, Wei Hu, Jianhua Lu, Fang Liu, Mingce Hu, Yi Han:
Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition. 435-446
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