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ORCIDNeurocomputing, Volume 472
Volume 472, February 2022
- Demou Luo, Quande Jiang
, Qiru Wang:
Anti-periodic solutions on Clifford-valued high-order Hopfield neural networks with multi-proportional delays. 1-11 - Mei Guo, Yongliang Zhu, Renyuan Liu, Kaixuan Zhao, Gang Dou:
An associative memory circuit based on physical memristors. 12-23 - Nana Wang, Chunjie Luo, Xi Huang, Yunyou Huang, Jianfeng Zhan:
DeepCS: Training a deep learning model for cervical spondylosis recognition on small-labeled sensor data. 24-34 - Zhengkai Li, Hao Sun, Xinghu Yu, Weichao Sun:
Heuristic sequencing hopfield neural network for pick-and-place location routing in multi-functional placers. 35-44 - Jiahao Wang, Bin Song, Dan Wang, Hao Qin:
Two-stream network with phase map for few-shot classification. 45-53 - Fushun Zhu, Hua Yan, Xinyue Chen, Tong Li:
Real-time crowd counting via lightweight scale-aware network. 54-67 - Xuezhong Wang, Changxin Mo, Sanzheng Qiao, Yimin Wei:
Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations. 68-84 - Qiang Li, Yuan Yuan, Qi Wang:
Hyperspectral image super-resolution via multi-domain feature learning. 85-94 - Xiena Dong, Jun Yu, Jian Zhang:
Joint usage of global and local attentions in hourglass network for human pose estimation. 95-102 - Ge Fan, Biao Geng, Jianrong Tao, Kai Wang, Changjie Fan, Wei Zeng:
PPPNE: Personalized proximity preserved network embedding. 103-112 - Lixia Feng, Yongqi Cai, Erling Wei, Jianwu Li:
Graph neural networks with global noise filtering for session-based recommendation. 113-123 - Chao Shang, Hongliang Li, Fanman Meng, Heqian Qiu, Qingbo Wu, Linfeng Xu, King Ngi Ngan:
Instance-level Context Attention Network for instance segmentation. 124-137 - Guanyu Zhu, Yong Zhou, Jiaqi Zhao, Rui Yao, Man Zhang:
Point cloud recognition based on lightweight embeddable attention module. 138-148 - Zeng Zeng, Cen Chen, Bharadwaj Veeravalli, Keqin Li, Joey Tianyi Zhou:
Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing. 149-151 - Xiaofeng Qi, Fasheng Yi, Lei Zhang, Yao Chen, Yong Pi, Yuanyuan Chen, Jixiang Guo, Jianyong Wang, Quan Guo, Jilan Li, Yi Chen, Qing Lv, Zhang Yi:
Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning. 152-165 - Ting Pan, Zhuqing Jiang, Jianan Han, Shiping Wen, Aidong Men, Haiying Wang:
Taylor saves for later: Disentanglement for video prediction using Taylor representation. 166-174 - Adrián Núñez-Marcos, Gorka Azkune, Ignacio Arganda-Carreras:
Egocentric Vision-based Action Recognition: A survey. 175-197
- Jianxin Li, Aixin Sun, Ziyu Guan, Muhammad Aamir Cheema, Geyong Min:
Real-time dynamic network learning for location inference modelling and computing. 198-200 - Wenqing Cheng, Ruxue Wen, Haojun Huang, Wang Miao, Chen Wang:
OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing. 201-211 - Guotong Xue, Ming Zhong, Jianxin Li, Jia Chen, Chengshuai Zhai, Ruochen Kong:
Dynamic network embedding survey. 212-223 - Zizhu Fan, Hong Zhang, Zheng Zhang, Guangming Lu, Yudong Zhang, Yaowei Wang:
A survey of crowd counting and density estimation based on convolutional neural network. 224-251 - Jiao Yin, MingJian Tang, Jinli Cao, Hua Wang, Mingshan You:
A real-time dynamic concept adaptive learning algorithm for exploitability prediction. 252-265 - Man Li, Ye Zhu, Taige Zhao, Maia Angelova:
Weighted dynamic time warping for traffic flow clustering. 266-279 - Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim:
Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map. 280-293 - Ping Li, Pan Zhang, Xianghua Xu:
Graph convolutional network meta-learning with multi-granularity POS guidance for video captioning. 294-305 - Md. Ashraful Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali:
A survey on deep learning based Point-of-Interest (POI) recommendations. 306-325 - Yongfeng Dong, Huaxin Xiao, Yao Dong:
SA-CGAN: An oversampling method based on single attribute guided conditional GAN for multi-class imbalanced learning. 326-337 - Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki:
Will you go where you search? A deep learning framework for estimating user search-and-go behavior. 338-348
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