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ORCIDNeurocomputing, Volume 508
Volume 508, October 2022
- Haoyue Bai, Jiageng Mao
, S.-H. Gary Chan:
A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal. 1-18 - Lin Li, Xiang Chen, Chengyun Song:
A robust clustering method with noise identification based on directed K-nearest neighbor graph. 19-35 - Hui Xiao, Li Dong, Hao Xu, Shuibo Fu, Diqun Yan, Kangkang Song, Chengbin Peng:
Semi-supervised semantic segmentation with cross teacher training. 36-46 - Zhezhe Xing, Rui Song, Yun Teng, Hao Xu:
DynHEN: A heterogeneous network model for dynamic bipartite graph representation learning. 47-57 - Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov:
A novel framework for image-to-image translation and image compression. 58-70 - Xiaojian Yi, Huiyang Yu, Pengxiang Wang, Shulin Liu, Lifeng Ma:
Encoding-decoding-based secure filtering for neural networks under mixed attacks. 71-78 - Kun Lei, Peng Guo, Yi Wang, Xiao Wu, Wenchao Zhao:
Solve routing problems with a residual edge-graph attention neural network. 79-98 - Yurong Liu, Hongjian Liu, Changfeng Xue, Naif D. Alotaibi, Fuad E. Alsaadi:
State estimate via outputs from the fraction of nodes for discrete-time complex networks with Markovian jumping parameters and measurement noise. 99-108 - Liwei Yang, Huaipeng Zhang, Tao Luo, Chuping Qu, Myat Thu Linn Aung, Yingnan Cui, Jun Zhou, Ming Ming Wong, Junran Pu, Anh Tuan Do, Rick Siow Mong Goh, Weng-Fai Wong:
Corrigendum to "Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency" [Neurocomputing (2022) 128-140]. 109 - Yingying Liu, Zhanshan Wang:
Output synchronization of multi-agent systems via reinforcement learning. 110-119 - Neha Sharma, Chhavi Dhiman, S. Indu:
Pedestrian Intention Prediction for Autonomous Vehicles: A Comprehensive Survey. 120-152 - Youwei Wang, Lizhou Feng, Jianming Zhu, Yang Li, Fu Chen:
Improved AdaBoost algorithm using misclassified samples oriented feature selection and weighted non-negative matrix factorization. 153-169 - Cong Li, Min Shi, Bo Qu, Xiang Li:
Deep attributed network representation learning via attribute enhanced neighborhood. 170-181 - Sarah Almaghrabi, Mashud Rana, Margaret Hamilton, Mohammad Saiedur Rahaman:
Solar power time series forecasting utilising wavelet coefficients. 182-207 - Rong Jiang, Keming Yu:
Renewable quantile regression for streaming data sets. 208-224 - Yu Guo, Luting Zhao, Yan Shi, Xuetao Zhang, Shaoyi Du, Fei Wang:
Adaptive weighted robust iterative closest point. 225-241 - Chao Liu, Xizhao Wang, Han Liu, Xiaoying Zou, Si Cen, Guoquan Dai:
Learning to recommend journals for submission based on embedding models. 242-253 - Dimitrios Gerontitis, Ratikanta Behera, Yang Shi, Predrag S. Stanimirovic:
A robust noise tolerant zeroing neural network for solving time-varying linear matrix equations. 254-274 - Hangcheng Dong, Jingxiao Liao, Yang Wang, Yixin Chen, Bingguo Liu, Dong Ye, Guodong Liu:
Training neural networks for solving 1-D optimal piecewise linear approximation. 275-283 - Chaofei Wang, Ke Yang, Shaowei Zhang, Gao Huang, Shiji Song:
TC3KD: Knowledge distillation via teacher-student cooperative curriculum customization. 284-292 - Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li:
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning. 293-304 - Shensi Wang, Kun Fu, Xian Sun, Zequn Zhang, Shuchao Li, Shiyao Yan:
Representation learning of knowledge graphs with the interaction between entity types and relations. 305-314 - Xiaocheng Wang, Ruimin Hu, Xin Xu:
Single low-light image brightening using learning-based intensity mapping. 315-323 - Xuewei Li, Jinming Ma, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Mei Yu, Ruiguo Yu:
HAPZSL: A hybrid attention prototype network for knowledge graph zero-shot relational learning. 324-336
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