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Publication search results
found 5,330 matches
- 2024
- Junchao Li, Mingyu Cai, Zhen Kan, Shaoping Xiao:
Model-free reinforcement learning for motion planning of autonomous agents with complex tasks in partially observable environments. Auton. Agents Multi Agent Syst. 38(1): 14 (2024) - Mohammed Alzahrani, Qianlong Wang, Weixian Liao, Xuhui Chen, Wei Yu:
Survey on Multi-Task Learning in Smart Transportation. IEEE Access 12: 17023-17044 (2024) - Senfeng Cen, Chang Gyoon Lim:
Multi-Task Learning of the PatchTCN-TST Model for Short-Term Multi-Load Energy Forecasting Considering Indoor Environments in a Smart Building. IEEE Access 12: 19553-19568 (2024) - Yufeng Diao, Liang Yang, Shiqi Li, Zhang Hao, Xiaochao Fan, Hongfei Lin:
Detect Sarcasm and Humor Jointly by Neural Multi-Task Learning. IEEE Access 12: 38071-38080 (2024) - Yuhua Fan, Ilkka Launonen, Mikko J. Sillanpää, Patrik Waldmann:
Evaluation of Sparse Proximal Multi-Task Learning for Genome-Wide Prediction. IEEE Access 12: 51665-51675 (2024) - Ryoichi Takashima, Yuya Sawa, Ryo Aihara, Tetsuya Takiguchi, Yoshie Imai:
Dysarthric Speech Recognition Using Pseudo-Labeling, Self-Supervised Feature Learning, and a Joint Multi-Task Learning Approach. IEEE Access 12: 36990-36999 (2024) - Ren Wang, Zhe Xu, Alfred O. Hero III:
Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning. IEEE Access 12: 16939-16950 (2024) - Yangyang Li, Lei Feng, Yang Yang, Wenjing Li:
GAN-powered heterogeneous multi-agent reinforcement learning for UAV-assisted task offloading. Ad Hoc Networks 153: 103341 (2024) - Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li:
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326: 104048 (2024) - Emilie Grégoire, Muhammad Hafeez Chaudhary, Sam Verboven:
Sample-level weighting for multi-task learning with auxiliary tasks. Appl. Intell. 54(4): 3482-3501 (2024) - Jingjing Liu, Jie-Peng Yao, Jin-Hang Liu, Zhong-Yi Wang, Lan Huang:
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning. Appl. Intell. 54(3): 2528-2550 (2024) - Marianne Abi Kanaan, Jean-François Couchot, Christophe Guyeux, David Laiymani, Talar Atéchian, Rony Darazi:
Combining a multi-feature neural network with multi-task learning for emergency calls severity prediction. Array 21: 100333 (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) - Caihong Zhao, Jinbao Li, Yahong Guo:
Sequence signal reconstruction based multi-task deep learning for sleep staging on single-channel EEG. Biomed. Signal Process. Control. 88(Part B): 105615 (2024) - Haoyu Zhai, Zhonghua Chen, Lei Li, Hairong Tao, Jinwu Wang, Kang Li, Moyu Shao, Xiaomin Cheng, Jing Wang, Xiang Wu, Chuan Wu, Xiao Zhang, Lauri Kettunen, Hongkai Wang:
Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images. Int. J. Comput. Assist. Radiol. Surg. 19(1): 97-108 (2024) - Heyou Chang, Guangwei Gao, Yang Chen, Hao Zheng:
Multi-task Contexture Learning Network for automated vertebrae segmentation and tumor diagnosis from MRI. Comput. Electr. Eng. 113: 109032 (2024) - Heyou Dong, Dan Chen, Yukang Chen, Yunbo Tang, Dingze Yin, Xiaoli Li:
A multi-task learning model with reinforcement optimization for ASD comorbidity discrimination. Comput. Methods Programs Biomed. 243: 107865 (2024) - Zewu Li, Chen Xu, Zhanpeng Zhang, Runze Wu:
Deep reinforcement learning based trajectory design and resource allocation for task-aware multi-UAV enabled MEC networks. Comput. Commun. 213: 88-98 (2024) - Shanchen Pang, Lili Hou, Haiyuan Gui, Xiao He, Teng Wang, Yawu Zhao:
Multi-mobile vehicles task offloading for vehicle-edge-cloud collaboration: A dependency-aware and deep reinforcement learning approach. Comput. Commun. 213: 359-371 (2024) - Jian Wang, Zhe Zhang, Guosheng Zhao:
Tag-based self-learning task recommendation for mobile crowdsensing via collaborative multi-expert system. Comput. Commun. 214: 260-269 (2024) - Ting Yu, Lihua Zhang, Hailin Liu, Hongbing Liu, Jiaojiao Wang:
Service recommendation based on contrastive learning and multi-task learning. Comput. Commun. 213: 285-295 (2024) - Henrique U. Gobbi, Guilherme Dytz dos Santos, Ana L. C. Bazzan:
Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information. Comput. Sci. Inf. Syst. 21(1): 291-308 (2024) - Yunyan Jia, Ling Xiong, Yu Fan, Wei Liang, Neal Naixue Xiong, Fengjun Xiao:
Blockchain-based privacy-preserving multi-tasks federated learning framework. Connect. Sci. 36(1) (2024) - Harika Abburi, Pulkit Parikh, Niyati Chhaya, Vasudeva Varma:
Multi-task learning neural framework for categorizing sexism. Comput. Speech Lang. 83: 101535 (2024) - Sibasis Sahoo, Samarendra Dandapat:
A physical exertion inspired multi-task learning framework for detecting out-of-breath speech. Comput. Speech Lang. 84: 101556 (2024) - Yixiao Yang, Tiange Yang, Yuanyuan Zou, Shaoyuan Li, Yaru Yang:
A Dual-Layer Network Deep Reinforcement Learning Algorithm for Multi-objective Signal Temporal Logic Tasks. Circuits Syst. Signal Process. 43(4): 2585-2607 (2024) - Himashi Rathnayake, Janani Sumanapala, Raveesha Rukshani, Surangika Ranathunga:
AdapterFusion-based multi-task learning for code-mixed and code-switched text classification. Eng. Appl. Artif. Intell. 127(Part A): 107239 (2024) - Guoqiang Hu, Zhuofan Ruan, Wenqiu Guo, Yujuan Quan:
A multi-task learning speech synthesis optimization method based on CWT: a case study of Tacotron2. EURASIP J. Adv. Signal Process. 2024(1): 4 (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) - Yuquan Le, Sheng Xiao, Zheng Xiao, Kenli Li:
Topology-aware Multi-task Learning Framework for Civil Case Judgment Prediction. Expert Syst. Appl. 238(Part F): 122103 (2024)
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