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ORCIDNeurocomputing, Volume 507
Volume 507, October 2022
- Chuyao Luo, Guangning Xu
, Xutao Li, Yunming Ye:
The reconstitution predictive network for precipitation nowcasting. 1-15 - Salim Rezvani, Xizhao Wang:
Intuitionistic fuzzy twin support vector machines for imbalanced data. 16-25 - Chenwu Wang, Junsheng Wu, Zhixiang Zhu, Hao Chen:
MSFNet: MultiStage Fusion Network for infrared and visible image fusion. 26-39 - Zhongyu Bai, Qichuan Ding, Hongli Xu, Jianning Chi, Xiangyue Zhang, Tiansheng Sun:
Skeleton-based similar action recognition through integrating the salient image feature into a center-connected graph convolutional network. 40-53 - Luis Garcia, Eduardo Vazquez, Gabriel Sanchez, Juan-Gerardo Ávalos, Giovanny Sánchez:
An ultra-compact and high-speed FFT-based large-integer multiplier for fully homomorphic encryption using a dual spike-based arithmetic circuit over GF(p). 54-66 - Jing Liu, Tongya Zheng, Qinfen Hao:
HIRE: Distilling high-order relational knowledge from heterogeneous graph neural networks. 67-83 - Qiangqiang Ren, Chao Yuan, Yifeng Zhao, Liming Yang:
A novel metric learning framework by exploiting global and local information. 84-96 - Chenbin Yang, Huiyi Liu:
Channel pruning based on convolutional neural network sensitivity. 97-106 - Jingya Fan, Zhibin Pan, Liangzhuang Wang, Yang Wang:
Codebook-softened product quantization for high accuracy approximate nearest neighbor search. 107-116 - Xiaoyu Zhang, Chuandong Li, Hongfei Li, Jing Xu:
Delayed distributed impulsive synchronization of coupled neural networks with mixed couplings. 117-129 - Chenxu Wang, Yue Wan, Zhenhao Huang, Panpan Meng, Pinghui Wang:
AEP: Aligning knowledge graphs via embedding propagation. 130-144 - Chengmei Peng, Lei Zhu, Yang Xu, Yaping Li, Lei Guo:
Binary multi-modal matrix factorization for fast item cold-start recommendation. 145-156 - Zailiang Chen, Xianxian Zheng, Hailan Shen, Jinghao Zhang, Peishan Dai, Rongchang Zhao:
Marginal samples for knowledge distillation. 157-165 - Hankun Kang, Xiaoyu Li, Li Jin, Chunbo Liu, Zequn Zhang, Shuchao Li, Yanan Zhang:
TSPNet: Translation supervised prototype network via residual learning for multimodal social relation extraction. 166-179 - Chang Gao, Wenchao Liu, Xian Yang:
Convolutional neural network and riemannian geometry hybrid approach for motor imagery classification. 180-190 - Shouyou Huang:
Robust learning of Huber loss under weak conditional moment. 191-198 - Qiming Li, Yuquan Bi, Rongsheng Cai, Jun Li:
Occluded pedestrian detection through bi-center prediction in anchor-free network. 199-207 - Tao Qian, Fei Li, Meishan Zhang, Guonian Jin, Ping Fan, Wenhua Dai:
Contrastive learning from label distribution: A case study on text classification. 208-220 - Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada:
Cosmos Propagation Network: Deep learning model for point cloud completion. 221-234 - Matías Vera, Leonardo Rey Vega, Pablo Piantanida:
Information flow in Deep Restricted Boltzmann Machines: An analysis of mutual information between inputs and outputs. 235-246 - Ignacio A. Viedma, David Alonso-Caneiro, Scott A. Read, Michael J. Collins:
Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey. 247-264 - Chunrong Yao, Wantao Liu, Zhibing Liu, Longchuan Yan, Songlin Hu, Weiqing Tang:
EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs. 265-281 - Qinglai Wei, Zesheng Yang, Huaizhong Su, Lijian Wang:
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems. 282-291 - Hamid Nasiri, Mohammad Mehdi Ebadzadeh:
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction. 292-310 - Luca Oneto, Nicolò Navarin, Frank-Michael Schleif:
Advances in artificial neural networks, machine learning and computational intelligence. 311-314 - Lingling Shi, Donghong Han, Jiayi Han, Baiyou Qiao, Gang Wu:
Dependency graph enhanced interactive attention network for aspect sentiment triplet extraction. 315-324 - Kai Chen, Zhuangzhuang Ma, Libing Bai, Hanmin Sheng, Yuhua Cheng:
Emergence of bipartite flocking behavior for Cucker-Smale model on cooperation-competition networks with time-varying delays. 325-331 - Jialun Pei, He Tang, Wanru Wang, Tianyang Cheng, Chuanbo Chen:
Salient instance segmentation with region and box-level annotations. 332-344 - Jiajia Jiang, Songxuan Lai, Lianwen Jin, Yecheng Zhu, Jiaxin Zhang, Bangdong Chen:
Forgery-free signature verification with stroke-aware cycle-consistent generative adversarial network. 345-357 - Shiluo Huang, Zheng Liu, Wei Jin, Ying Mu:
A fisher score-based multi-instance learning method assisted by mixture of factor analysis. 358-368 - Zhenxi Zhang, Chunna Tian, Xinbo Gao, Cui Wang, Xue Feng, Harrison X. Bai, Zhicheng Jiao:
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. 369-382 - Jianyu Yang, Xing He:
A continuous-time neurodynamic algorithm for distributed nonconvex nonsmooth optimization problems with affine equality and nonsmooth convex inequality constraints. 383-396 - Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh:
Deep CNN based Image Compression with Redundancy Minimization via Attention Guidance. 397-411 - Linglan Zhao, Ge Liu, Dashan Guo, Wei Li, Xiangzhong Fang:
Boosting Few-shot visual recognition via saliency-guided complementary attention. 412-427 - Yongkang Zhang, Liqun Zhou:
Stabilization and lag synchronization of proportional delayed impulsive complex-valued inertial neural networks. 428-440 - Joshua Taylor, Erzsébet Merényi:
Automating t-SNE parameterization with prototype-based learning of manifold connectivity. 441-452
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