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ORCIDNeurocomputing, Volume 407
Volume 407, September 2020
- Mohammad Ashrafi
, Dilip K. Prasad, Chai Quek:
IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data. 1-11 - Saeideh Ghanbari Azar, Saeed Meshgini, Tohid Yousefi Rezaii, Soosan Beheshti:
Hyperspectral image classification based on sparse modeling of spectral blocks. 12-23 - Bo Zhao, Xianmin Zhang, Zhenhui Zhan, Shuiquan Pang:
Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains. 24-38 - Luguo Xue, Yan Chen, Minnan Luo, Zhen Peng, Jun Liu:
An anomaly detection framework for time-evolving attributed networks. 39-49 - Honghao Zhu, Guanjun Liu, Mengchu Zhou, Yu Xie, Abdullah Abusorrah, Qi Kang:
Optimizing Weighted Extreme Learning Machines for imbalanced classification and application to credit card fraud detection. 50-62 - Dong Wang, Yuan Yuan, Qi Wang:
Gated forward refinement network for action segmentation. 63-71 - Peiguang Li, Hongfeng Yu, Wenkai Zhang, Guangluan Xu, Xian Sun:
SA-NLI: A Supervised Attention based framework for Natural Language Inference. 72-82 - Minglai Shao, Peiyuan Sun, Jianxin Li, Qiben Yan, Zhirui Feng:
Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks. 83-93 - Mohammad Mahdi Johari, Hamid Behroozi:
Context-aware colorization of gray-scale images utilizing a cycle-consistent generative adversarial network architecture. 94-104 - Lei Zou, Yang Li, Feiyun Xu:
An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case. 105-120 - Chuan Li, Shaohui Zhang, Yi Qin, Edgar Estupiñan:
A systematic review of deep transfer learning for machinery fault diagnosis. 121-135 - Junzo Watada, Arunava Roy, Jingru Li, Bo Wang, Shuming Wang:
A Dual Recurrent Neural Network-based Hybrid Approach for Solving Convex Quadratic Bi-Level Programming Problem. 136-154 - Peng Li, Yiyi Zhao, Jiangping Hu, Yuping Zhang, Bijoy Kumar Ghosh:
Distributed initialization-free algorithms for multi-agent optimization problems with coupled inequality constraints. 155-162 - Mostafa Sadeghi, Massoud Babaie-Zadeh:
Dictionary learning with low mutual coherence constraint. 163-174 - Chunyu Yang, Weiwei Wang, Xiangchu Feng, Ruiqiang He:
Group discriminative least square regression for multicategory classification. 175-184 - Huisheng Zhang, Ying Zhang, Shuai Zhu, Dongpo Xu:
Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks. 185-193 - Juan Maroñas, Roberto Paredes, Daniel Ramos:
Calibration of deep probabilistic models with decoupled bayesian neural networks. 194-205 - Chen Qiao, Yan Shi, Yu-Xian Diao, Vince D. Calhoun, Yu-Ping Wang:
Log-sum enhanced sparse deep neural network. 206-220 - Jianrong Zhao, Shengyuan Xu, Yongmin Li, Yuming Chu, Zhengqiang Zhang:
Event-triggering H∞ synchronization for discrete time switched complex networks via the quasi-time asynchronous controller. 221-231 - Peng Peng, Wenjia Zhang, Yi Zhang, Yanyan Xu, Hongwei Wang, Heming Zhang:
Cost sensitive active learning using bidirectional gated recurrent neural networks for imbalanced fault diagnosis. 232-245 - Deepesh Kumar, Rohan Ghosh, Andrei Nakagawa Silva, Alcimar B. Soares, Nitish V. Thakor:
Neuromorphic approach to tactile edge orientation estimation using spatiotemporal similarity. 246-258 - Yi Zhang, Keren Fu, Jiang Wang, Peng Cheng:
Learning from discrete Gaussian label distribution and spatial channel-aware residual attention for head pose estimation. 259-269 - Yaoyuan Wang, Shuang Wu, Lei Tian, Luping Shi:
SSM: a high-performance scheme for in situ training of imprecise memristor neural networks. 270-280 - Dehao Ruan, Zhehao Huang, Xiaoxia Guo:
Inequalities and stability of stochastic Hopfield neural networks with discrete and distributed delays. 281-291 - Peng Wang, Chenyu Gao, Yang Wang, Hui Li, Ye Gao:
MobileCount: An efficient encoder-decoder framework for real-time crowd counting. 292-299 - Hoyoung Tang, Donghyeon Cho, Dongwoo Lew, Taehwan Kim, Jongsun Park:
Rank order coding based spiking convolutional neural network architecture with energy-efficient membrane voltage updates. 300-312 - Pengchuan Wang, Yongquan Zhou, Qifang Luo, Cao Han, Yanbiao Niu, Mengyi Lei:
Complex-valued encoding metaheuristic optimization algorithm: A comprehensive survey. 313-342 - Juhua Liu, Qihuang Zhong, Yuan Yuan, Hai Su, Bo Du:
SemiText: Scene text detection with semi-supervised learning. 343-353 - Junyou Shi, Yi Deng, Zili Wang:
Analog circuit fault diagnosis based on density peaks clustering and dynamic weight probabilistic neural network. 354-365 - Shili Peng, Qinghua Hu, Jianwu Dang, Wenwu Wang:
Optimal feasible step-size based working set selection for large scale SVMs training. 366-375 - Linmei Hu, Shuqi Yu, Bin Wu, Chao Shao, Xiaoli Li:
A neural model for joint event detection and prediction. 376-384 - Shivarudhrappa Raghu, Natarajan Sriraam, Erik D. Gommer, Danny M. W. Hilkman, Yasin Temel, Shyam Vasudeva Rao, Pieter Leonard Kubben:
Adaptive median feature baseline correction for improving recognition of epileptic seizures in ICU EEG. 385-398 - Xinya Chen, Yanrui Bin, Changxin Gao, Nong Sang, Hao Tang:
Relevant region prediction for crowd counting. 399-408 - Zhentao Gao, Yuanyuan Chen, Zhang Yi:
A novel method to compute the weights of neural networks. 409-427 - Jiaxin Cai, Junlin Hu, Xin Tang, Tzu-Yi Hung, Yap-Peng Tan:
Deep historical long short-term memory network for action recognition. 428-438 - Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maxim Anatolievich Deryabin, N. N. Nagornov, Maria V. Valueva, Georgii V. Valuev:
Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. 439-453 - Zhigang Chang, Zhou Qin, Heng Fan, Hang Su, Hua Yang, Shibao Zheng, Haibin Ling:
Weighted bilinear coding over salient body parts for person re-identification. 454-464 - Changxin Mo, Xuezhong Wang, Yimin Wei:
Time-varying generalized tensor eigenanalysis via Zhang neural networks. 465-479 - Jie Nie, Ning Xu, Ming Zhou, Ge Yan, Zhiqiang Wei:
Corrigendum to "3D model classification based on few-shot learning" [Neurocomputing 398 (2020) 539-546/21103]. 480
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