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ORCIDNeurocomputing, Volume 428
Volume 428, March 2021
- Deyun Dai, Jikai Wang, Zonghai Chen
, Hao Zhao:
Image guidance based 3D vehicle detection in traffic scene. 1-11 - Xiaoqin Feng, Yucui Yang, Dongxu Wei:
Adaptive fully distributed consensus for a class of heterogeneous nonlinear multi-agent systems. 12-18 - Shehu Mohammed Yusuf, Fuhao Zhang, Min Zeng, Min Li:
DeepPPF: A deep learning framework for predicting protein family. 19-29 - Liang Ma, Jie Dong, Changjun Hu, Kaixiang Peng:
A novel decentralized detection framework for quality-related faults in manufacturing industrial processes. 30-41 - Xueyan Yin, Genze Wu, Jinze Wei, Yanming Shen, Heng Qi, Baocai Yin:
Multi-stage attention spatial-temporal graph networks for traffic prediction. 42-53 - Guangfeng Lin, Caixia Fan, Wanjun Chen, Yajun Chen, Fan Zhao:
Class label autoencoder with structure refinement for zero-shot learning. 54-64 - Wenwen Zhang, Kunfeng Wang, Yutong Wang, Lan Yan, Fei-Yue Wang:
A loss-balanced multi-task model for simultaneous detection and segmentation. 65-78 - Qingsen Yan, Bo Wang, Lei Zhang, Jingyu Zhang, Zheng You, Qinfeng Shi, Yanning Zhang:
Towards accurate HDR imaging with learning generator constraints. 79-91 - Yi Liu, Mingxing Duanmu, Zhen Huo, Hang Qi, Zuntian Chen, Lei Li, Qiang Zhang:
Exploring multi-scale deformable context and channel-wise attention for salient object detection. 92-103 - Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Jincai Chen, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu:
Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks. 104-115 - Zhibo Zhang, Rahul Rai, Souma Chowdhury, David S. Doermann:
MIDPhyNet: Memorized infusion of decomposed physics in neural networks to model dynamic systems. 116-129 - Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging multi-level dependency of relational sequences for social spammer detection. 130-141 - Cuili Yao, Lin Feng, Yuqiu Kong, Bo Jin, Yiwei Liu, Leheng Li:
Bi-DAINet: Bi-Directional Discard-Accept-Integrate Network for salient object detection. 142-152 - Jangsaeng Kim, Dongseok Kwon, Sung Yun Woo, Won-Mook Kang, Soochang Lee, Seongbin Oh, Chul-Heung Kim, Jong-Ho Bae, Byung-Gook Park, Jong-Ho Lee:
Hardware-based spiking neural network architecture using simplified backpropagation algorithm and homeostasis functionality. 153-165 - Mario Michiels, Pedro Larrañaga, Concha Bielza:
BayeSuites: An open web framework for massive Bayesian networks focused on neuroscience. 166-181 - Qijing Yang, Huaiqin Wu, Jinde Cao:
Pinning exponential cluster synchronization for fractional-order complex dynamical networks with switching topology and mode-dependent impulses. 182-194 - Yanxia Lv, Fangna Wei, Lihong Cao, Sancheng Peng, Jianwei Niu, Shui Yu, Cuirong Wang:
Aspect-level sentiment analysis using context and aspect memory network. 195-205 - Huiyuan Luo, Guangliang Han, Xiaotian Wu, Peixun Liu, Hang Yang, Xin Zhang:
Cascaded hourglass feature fusing network for saliency detection. 206-217 - Tribikram Pradhan, Chaitanya Bhatia, Prashant Kumar, Sukomal Pal:
A deep neural architecture based meta-review generation and final decision prediction of a scholarly article. 218-238 - Jichao Ma, Yanjiang Wang, Bao-Di Liu, Weifeng Liu:
Accurately modeling the human brain functional correlations with hypergraph Laplacian. 239-247 - Jiazhong Chen, Qingqing Li, Hefei Ling, Dakai Ren, Ping Duan:
Audiovisual saliency prediction via deep learning. 248-258 - Zerui Li, Yue Ming, Lei Yang, Jing-Hao Xue:
Mutual-learning sequence-level knowledge distillation for automatic speech recognition. 259-267 - Xin Chen, Zhen Hai, Suge Wang, Deyu Li, Chao Wang, Huanbo Luan:
Metaphor identification: A contextual inconsistency based neural sequence labeling approach. 268-279 - Yuanhong Liu, Zebiao Hu, Yansheng Zhang:
Bearing feature extraction using multi-structure locally linear embedding. 280-290 - Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. 291-307
- Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geospatial data for self-driving cars. 308-309 - Binbin Zhang, Xiao Wang, Hao Wang:
Virtual machine placement strategy using cluster-based genetic algorithm. 310-316 - Jingjing Li, Jun Li, Nan Jia, Xunchun Li, Wenzhen Ma, Shanshan Shi:
GeoTraPredict: A machine learning system of web spatio-temporal traffic flow. 317-324 - Dahan Wang, Jianmin Li, Shunzhi Zhu:
Detecting urban hot regions by using massive geo-tagged image data. 325-331 - Xinyu Chen, Jiajie Xu, Rui Zhou, Wei Chen, Junhua Fang, Chengfei Liu:
TrajVAE: A Variational AutoEncoder model for trajectory generation. 332-339 - Keyan Cao, Qimeng Sun, Haoli Liu, Yefan Liu, Gongjie Meng, Jingjing Guo:
Social space keyword query based on semantic trajectory. 340-351 - Xiangyu Han, Fusheng Jin, Runan Wang, Shuliang Wang, Ye Yuan:
Classification of malware for self-driving systems. 352-360 - Da-Han Wang, Jianmin Li, Shunzhi Zhu:
Few-labeled visual recognition for self-driving using multi-view visual-semantic representation. 361-367 - Jiajie Xu, Jiabao Sun, Rui Zhou, Chengfei Liu, Lihua Yin:
CISK: An interactive framework for conceptual inference based spatial keyword query. 368-375 - Xiaojiao Hu, Jiajie Xu, Weiqing Wang, Zhixu Li, An Liu:
A graph embedding based model for fine-grained POI recommendation. 376-384 - Zhi Wang, Yubing Li, Kun Zhao, Wei Shi, Liangliang Lin, Jizhong Zhao:
Worker Collaborative group estimation in spatial crowdsourcing. 385-391
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