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ORCID17th KSEM 2024: Birmingham, UK - Part II
- 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 II. Lecture Notes in Computer Science 14885, Springer 2024, ISBN 978-981-97-5494-6
Knowledge Engineering Research and Applications (KERA)
- Guangcheng Dongye, Tao Liu, Wenhao Bi, Ming Jing, Li Zhang, Jiguo Yu:
Research on Node Cluster Analysis in Brain Connection Data. 3-15 - Qiming Zhao, Jing Wu, Hong Liu:
A New Emotion Classification Method Based on JAN-VMD. 16-28 - Alae eddine Tabiti:
Neuro-Genetic System: A Hybrid System of CNN-BiLSTM Optimized by Genetic Algorithm for Road Accident Severity Prediction. 29-40 - Yongheng Li, Ziwen Zhang, Zhen Huang, Changjian Wang, Tianfu He, Menglong Lu, Zeyun Zhao:
MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation. 41-57 - Jinghui Feng, Xukun Zhang, Lihua Zhang:
Bio-Inspired Feature Selection via an Improved Binary Golden Jackal Optimization Algorithm. 58-71 - Jiawei Liu, Jing Wu, Yu Han, Wei Hu, Ping Zhang:
Dynamic Reliability-Optimised and Energy-Efficient Scheduling Algorithms in Heterogeneous Multi-core Systems. 72-84 - Yanling Li, Sihan Yin, Xudong Luo, Binxia Yang:
A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data. 85-101 - Huihuang Lu, Weidong Zou, Liping Yan:
A Novel Online Sequential Learning Algorithm for ELM Based on Optimal Control. 102-116 - Hao Dong, Haochen Liang, Jing Yu, Keke Gai:
DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. 117-129 - Jinglan Deng, Xiaohui Pan, Hanyu Yang, Jianfei Yin:
Variational Loss of Random Sampling for Searching Cluster Number. 130-143 - Tianchi Wang:
DVDNER: Dual-View Learning Named Entity Recognition via Diffusion. 144-163 - Zirui Hu, Zheng Zhang, Wenjun Feng, Qi Liu:
Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. 164-179 - Junbo Huang:
SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filtering. 180-191 - Cheng Tang, Li Chen, Gen Li, Tsubasa Minematsu, Fumiya Okubo, Yuta Taniguchi, Atsushi Shimada:
Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. 192-203 - Juan Chen, Haiyang Jia, Zhongbo Wu, Junxian Mu, Ang Gao:
Feature Matching Based Heterogeneous Transfer Learning for Student Performance Prediction. 204-215 - Renhu Bu, Shuang Li, Chi Harold Liu:
Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis. 216-228 - Zhiwei Sun, Jun Bai, Zhenzi Li, Chen Li, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. 229-240 - Jiayuan Yang, Junhua Wang:
A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls. 241-253 - Xiaojin Chen, Tianyue Chen, Jingbo Zhao, Yaojun Wang:
AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text. 254-266 - Mengqian Zhang, JiaXun Li, Li Tao:
Research on Key Node Cluster Identification Algorithm Based on Louvain and Cycle Ratio. 267-279 - Sharareh Alipour, Emran Shahbazi Gholiabad, Mohammad Amin Raeisi:
Uncertain k-Center Clustering, Revisited: Point Assignment. 280-291 - Xiaohui Pan, Jinglan Deng, Hanyu Yang, Jing Peng, Jianfei Yin:
DPSPC: A Density Peak-Based Statistical Parallel Clustering Algorithm for Big Data. 292-304 - Siqi Hou, Dandan Song, Zhijing Wu, Xiechao Guo, Ziyi Yang:
Insert Commonsense Knowledge Through Semantics for Dialogue Generation. 305-317 - Yubin Chen, Jing Wan, Yexing Du, Jifan Yu, Lei Hou, Juanzi Li:
Entity Set Expansion Based on Category Prompts in MOOCs. 318-332 - Fang Liu, Heyuan Li, Ziyu Chen, Wei Hu, Yanxiang He, Fei Wang:
ViT Hybrid Channel Fit Pruning Algorithm for Co-optimization of Hardware and Software for Edge Device. 333-345 - Hao Chi, Yingqi Zhang, Shuo Xu, Rui Zhang, Hui Xia:
Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation. 346-357 - Yiyu Wang, Xunzhi Xiang, Kun Jing, Jungang Xu, Yingfei Sun:
Improving Image Captioning with Image Concepts of Words. 358-370 - Xiaoqian Gao, Xiabing Zhou, Rui Cao, Min Zhang:
M-HGN: Multi-information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension. 371-383 - Juan Chen, Zhongbo Wu, Haiyang Jia, Qingqing Zhang, Fanping Liu, Junxian Mu, Zhijie Lin:
A Student Performance Prediction Model Based on Feature Factor Transfer. 384-394 - Yongqi Jiang, Chu Jin, Quan Zhang, Biao Hu, Zhenzhou Tang:
A Binary Multi-objective Grey Wolf Optimization for Feature Selection. 395-406 - Yekun Fang:
CS Net: A Coarse-to-Fine-Grained Summarization Network for Community-Based Question Answering Summarization. 407-423 - Yangyang Liu, Shoubin Li, Kai Huang, Qing Wang:
AutoIE: An Automated Framework for Information Extraction from Scientific Literature. 424-436 - Houshen Lin, Jian Hou, Huaqiang Yuan:
Adaptive Density Peak Clustering with Optimized Border-Peeling. 437-448 - Jian Hou, Juntao Ge, Huaqiang Yuan:
Efficient Affinity Propagation Clustering Based on Szemerédi's Regularity Lemma. 449-461
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