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Publication search results
found 1,443 matches
- 2025
- Baoquan Zhang, Bingqi Shan, Aoxue Li, Chuyao Luo, Yunming Ye, Zhenguo Li:
ZooKT: Task-adaptive knowledge transfer of Model Zoo for few-shot learning. Pattern Recognit. 158: 110960 (2025) - 2024
- Liang Zhang:
Digital transformation supported by Knowledge-Based Engineering and semantic modeling for automating engineering tasks. Norwegian University of Science and Technology, Trondheim, Norway, 2024 - Auwal H. Abubakar, Maolin Yang, Pingyu Jiang, Huanrong Ren:
Collaborative task of entity and relation recognition for developing a knowledge graph to support knowledge reasoning for design for additive manufacturing. Adv. Eng. Informatics 60: 102364 (2024) - Minwei Wen, Hongyan Mei, Wei Wang, Xiaorong Xue, Xing Zhang:
Multi-task recommendation based on dynamic knowledge graph. Appl. Intell. 54(13-14): 7151-7169 (2024) - Xuhua Yang, Dong Wei, Lian Zhang, Gang-Feng Ma, Xin-Li Xu, Haixia Long:
Task-related network based on meta-learning for few-shot knowledge graph completion. Appl. Intell. 54(8): 5961-5975 (2024) - Wei Zhang, Ling Kong, Soobin Lee, Yan Chen, Guangxu Zhang, Hao Wang, Min Song:
Detecting mental and physical disorders using multi-task learning equipped with knowledge graph attention network. Artif. Intell. Medicine 149: 102812 (2024) - Chengcheng Zhang, Tianyi Zang, Tianyi Zhao:
KGE-UNIT: toward the unification of molecular interactions prediction based on knowledge graph and multi-task learning on drug discovery. Briefings Bioinform. 25(2) (2024) - Yupeng Qiang, Xunde Dong, Xiuling Liu, Yang Yang:
MT-MV-KDF: A novel Multi-Task Multi-View Knowledge Distillation Framework for myocardial infarction detection and localization. Biomed. Signal Process. Control. 95: 106382 (2024) - Amol Dattatray Dhaygude, Gaurav Kumar Ameta, Ihtiram Raza Khan, Pavitar Parkash Singh, Renato R. Maaliw, Natrayan Lakshmaiya, Mohammad Shabaz, Muhammad Attique Khan, Hany S. Hussein, Hammam A. Alshazly:
Knowledge-based deep learning system for classifying Alzheimer's disease for multi-task learning. CAAI Trans. Intell. Technol. 9(4): 805-820 (2024) - Chongjun Huang, Zhuoran Wang, Guohui Yuan, Zhiming Xiong, Jing Hu, Yuhua Tong:
PKSEA-Net: A prior knowledge supervised edge-aware multi-task network for retinal arteriolar morphometry. Comput. Biol. Medicine 172: 108255 (2024) - Xuqi Su, Yuhao Jing, Pingfang Zhou, Deyu Yu:
Three-stage multi-objective optimization approach based on sparsity knowledge for multi-airship earth-observation task scheduling. Eng. Appl. Artif. Intell. 127(Part A): 107290 (2024) - Guozhu Ding, Xiangyi Shi, Shan Li:
Integrating programming errors into knowledge graphs for automated assignment of programming tasks. Educ. Inf. Technol. 29(5): 5947-5980 (2024) - Tao Huang, Shengze Hu, Huali Yang, Jing Geng, Zhifei Li, Zhuoran Xu, Xinjia Ou:
Response speed enhanced fine-grained knowledge tracing: A multi-task learning perspective. Expert Syst. Appl. 238(Part E): 122107 (2024) - Haibo Huang, Yawen Wang, Jiuhui Wu, Weiping Ding, Jian Pang:
Prediction and optimization of pure electric vehicle tire/road structure-borne noise based on knowledge graph and multi-task ResNet. Expert Syst. Appl. 255: 124536 (2024) - Qiao Xiao, Ren Li, Jianxi Yang, Yu Chen, Shixin Jiang, Di Wang:
TPKE-QA: A gapless few-shot extractive question answering approach via task-aware post-training and knowledge enhancement. Expert Syst. Appl. 254: 124475 (2024) - Muhammad Aufeef Chauhan, Muhammad Ali Babar, Haifeng Shen:
KRIOTA: A framework for Knowledge-management of dynamic Reference Information and Optimal Task Assignment in hybrid edge-cloud environments to support situation-aware robot-assisted operations. Future Gener. Comput. Syst. 160: 489-504 (2024) - Sooyoung Jang, Hyung-Il Kim:
Efficient deep reinforcement learning under task variations via knowledge transfer for drone control. ICT Express 10(3): 576-582 (2024) - Yang Zhang, Juanjuan Cai, Chuanzhen Li, Tong Li, Hui Wang:
KMPR-AEP: Knowledge-Enhanced Multi-task Parallelized Recommendation Algorithm Incorporating Attention-Embedded Propagation. Int. J. Comput. Intell. Syst. 17(1): 213 (2024) - Dongkun Wang, Jieyang Peng, Xiaoming Tao, Yiping Duan:
Boosting urban prediction tasks with domain-sharing knowledge via meta-learning. Inf. Fusion 107: 102324 (2024) - Quoc Trung Pham, Canh Khiem Le, Dinh Thai Linh Huynh, Sanjay Misra:
The Impact of Operant Resources on the Task Performance of Learners via Knowledge Management Process. Inf. 15(6): 338 (2024) - Yaxi Liu, Chunxiu Qin, Xubu Ma, Fan Li, Yulong Wang:
Comparison of information search behavior for different exploratory tasks: Evidence from experiments in online knowledge communities. Inf. Process. Manag. 61(5): 103794 (2024) - Rui Hua, Xin Dong, Yu Wei, Zixin Shu, Pengcheng Yang, Yunhui Hu, Shuiping Zhou, He Sun, Kaijing Yan, Xijun Yan, Kai Chang, Xiaodong Li, Yuning Bai, Runshun Zhang, Wenjia Wang, Xuezhong Zhou:
Lingdan: enhancing encoding of traditional Chinese medicine knowledge for clinical reasoning tasks with large language models. J. Am. Medical Informatics Assoc. 31(9): 2019-2029 (2024) - Xiangchao Chang, Menghui Zhou, Xulong Wang, Yun Yang, Po Yang:
Informative relationship multi-task learning: Exploring pairwise contribution across tasks' sharing knowledge. Knowl. Based Syst. 301: 112187 (2024) - Zeyuan Ding, Zhihao Yang, Yinbo Qiao, Hongfei Lin:
KMc-ToD: Structure knowledge enhanced multi-copy network for task-oriented dialogue system. Knowl. Based Syst. 293: 111662 (2024) - Yongjie Huang, Xiao Han, Man Chen, Zhisong Pan:
TGGS network: A multi-task learning network for gradient-guided knowledge sharing. Knowl. Based Syst. 301: 112254 (2024) - Xiangqiong Wu, Guanghua Tan, Hongxia Luo, Zhilun Chen, Bin Pu, Shengli Li, Kenli Li:
A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos. Medical Image Anal. 91: 103039 (2024) - Zhengquan Feng, Xiaochao Li, Yun Li:
MTKGR: multi-task knowledge graph reasoning for food and ingredient recognition. Multim. Syst. 30(3): 149 (2024) - Shengtai Zhang, Wenjuan Shi, Mengtao Zhang:
Blockchain-enabled Q&A communities: the impact of task technology matching on willingness to share knowledge. Neural Comput. Appl. 36(5): 2171-2186 (2024) - Oussama Ben Sghaier, Houari A. Sahraoui:
Improving the Learning of Code Review Successive Tasks with Cross-Task Knowledge Distillation. Proc. ACM Softw. Eng. 1(FSE): 1086-1106 (2024) - Pratik Mazumder, Pravendra Singh, Piyush Rai, Vinay P. Namboodiri:
Rectification-Based Knowledge Retention for Task Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1561-1575 (2024)
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