Neurocomputing, Volume 452

Volume 452, September 2021

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  Lili Shen, Liang You, Bo Peng, Chuhe Zhang:
  Group multi-scale attention pyramid network for traffic sign detection. 1-14
• 
  Chujie Tian, Xinning Zhu, Zheng Hu, Jian Ma:
  A transfer approach with attention reptile method and long-term generation mechanism for few-shot traffic prediction. 15-27
• 
  Jianyu Zhao, Zhiqiang Zhan, Tong Li, Rang Li, Changjian Hu, Siyun Wang, Yang Zhang:
  Generative adversarial network for Table-to-Text generation. 28-36
• 
  Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
  Learning digital camera pipeline for extreme low-light imaging. 37-47
• 
  Zhaoyang Niu, Guoqiang Zhong, Hui Yu:
  A review on the attention mechanism of deep learning. 48-62
• 
  Yanmei Luo, Dong Nie, Bo Zhan, Zhiang Li, Xi Wu, Jiliu Zhou, Yan Wang, Dinggang Shen:
  Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion. 63-77
• 
  Xiaodi Zhu, Yanfeng Li, Jia Sun, Houjin Chen, Jinlei Zhu:
  Learning with noisy labels method for unsupervised domain adaptive person re-identification. 78-88
• 
  Rui Huang, Xiaoqing Tan, Qingshan Xu:
  Variational quantum tensor networks classifiers. 89-98
• 
  Qiang Xu, Xinghao Jiang, Tanfeng Sun, Alex C. Kot:
  Detection of HEVC double compression with non-aligned GOP structures via inter-frame quality degradation analysis. 99-113
• 
  Junxiang Zheng, Yongzhi Cao, Hanpin Wang:
  Resisting membership inference attacks through knowledge distillation. 114-126
• 
  Di Ning, Ziye Fan, Xiaoqun Wu, Xiuping Han:
  Interlayer synchronization of duplex time-delay network with delayed pinning impulses. 127-136
• 
  Jingjing Zhang, Xiaohong Li, Cuiqun Chen, Meibin Qi, Jingjing Wu, Jianguo Jiang:
  Global-Local Graph Convolutional Network for cross-modality person re-identification. 137-146
• 
  Huanyu Bian, Dongdong Chen, Kui Zhang, Hang Zhou, Xiaoyi Dong, Wenbo Zhou, Weiming Zhang, Nenghai Yu:
  Adversarial defense via self-orthogonal randomization super-network. 147-158
• 
  Zhen Zhong, Guobao Xiao, Kun Zeng, Shiping Wang:
  TSSN-Net: Two-step Sparse Switchable Normalization for learning correspondences with heavy outliers. 159-168
• 
  Dawei Dai, Chengfu Tang, Guoyin Wang, Shuyin Xia:
  Building partially understandable convolutional neural networks by differentiating class-related neural nodes. 169-181
• 
  Gavneet Singh Chadha, Utkarsh Panara, Andreas Schwung, Steven X. Ding:
  Generalized dilation convolutional neural networks for remaining useful lifetime estimation. 182-199
• 
  Zhou Huang, Huai-Xin Chen, Tao Zhou, Yun-Zhi Yang, Bi-Yuan Liu:
  Multi-level cross-modal interaction network for RGB-D salient object detection. 200-211
• 
  Christian Oliva, Luis Fernando Lago-Fernández:
  Stability of internal states in recurrent neural networks trained on regular languages. 212-223
• 
  Tao Li, Di Wu, Jinwen Ma:
  Mixture of robust Gaussian processes and its hard-cut EM algorithm with variational bounding approximation. 224-238
• 
  Yi Tian, Yaping Huang, Wanru Xu, Yu Kong:
  Coupling Adversarial Graph Embedding for transductive zero-shot action recognition. 239-252
• 
  Chuanshuai Chen, Jiazhu Dai:
  Mitigating backdoor attacks in LSTM-based text classification systems by Backdoor Keyword Identification. 253-262
• 
  Guanghui Fu, Jianqiang Li, Ruiqian Wang, Yue Ma, Yueda Chen:
  Attention-based full slice brain CT image diagnosis with explanations. 263-274
• 
  Kailu Sun, Hui Yu, Xiaohua Xia:
  Distributed control of nonlinear stochastic multi-agent systems with external disturbance and time-delay via event-triggered strategy. 275-283
• 
  Xin Wang, Jinde Cao, Jiangtao Wang, Jinshan Qi:
  A novel fixed-time stability strategy and its application to fixed-time synchronization control of semi-Markov jump delayed neural networks. 284-293
• 
  Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak, A. E. Eiben:
  Learning locomotion skills in evolvable robots. 294-306

Special Section "Special Issue on Hybrid Artificial Intelligence Systems - HAIS 2018 - Guest Edited by Héctor Quintián and Emilio Corchado

• 
  Héctor Quintián, Emilio Corchado:
  Special issue on Hybrid Artificial Intelligence Systems from HAIS 2018 Conference. 307-308
• 
  Pawel Ksieniewicz:
  The prior probability in the batch classification of imbalanced data streams. 309-316
• 
  Francisco Javier Martínez de Pisón, Javier Ferreiro-Cabello, Esteban Fraile-Garcia, Alpha V. Pernía-Espinoza:
  A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package. 317-332
• 
  Laura Fernández-Robles, Lidia Sánchez-González, Javier Díez-González, Manuel Castejón Limas, Hilde Pérez:
  Use of image processing to monitor tool wear in micro milling. 333-340
• 
  José Antonio Becerra, Alejandro Romero, Francisco Bellas, Richard J. Duro:
  Motivational engine and long-term memory coupling within a cognitive architecture for lifelong open-ended learning. 341-354
• 
  Washington R. Padilla, Jesús García, José M. Molina:
  Improving time series forecasting using information fusion in local agricultural markets. 355-373
• 
  Alfonso González-Briones, Javier Prieto, Fernando de la Prieta, Yves Demazeau, Juan M. Corchado:
  Virtual agent organizations for user behaviour pattern extraction in energy optimization processes: A new perspective. 374-385
• 
  Juan Enrique Sánchez Lasheras, Fernando Sánchez Lasheras, Carmen González-Donquiles, Adonina Tardón, Gemma Castaño-Vinyals, Camilo Palazuelos, Dolores Salas, Vicente Martín Sánchez, Francisco Javier de Cos Juez:
  Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms. 386-394
• 
  Jin-Young Kim, Sung-Bae Cho:
  Deep CNN transferred from VAE and GAN for classifying irritating noise in automobile. 395-403
• 
  José Ramón Villar, Camelia Chira, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh:
  Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges. 404-413

Special section on New trends in soft computing and computational intelligence in security and its application in industrial and environmental problems

• 
  Manuel Graña, José Manuel López-Guede, José António Sáez Muñoz, Álvaro Herrero, Héctor Quintián, Emilio Corchado:
  Special issue SOCO-CISIS 2018: New trends in soft computing and computational intelligence in security and its application in industrial and environmental problems. 414-415
• 
  Jaume Jordán, Javier Palanca, Elena del Val, Vicente Julián, Vicent J. Botti:
  Localization of charging stations for electric vehicles using genetic algorithms. 416-423
• 
  Francisco Jesús Martínez-Murcia, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz, Ricardo Cruz:
  Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy. 424-434
• 
  Wojciech Bozejko, Anna Burduk, Kamil Musial, Jaroslaw Pempera:
  Neuro-tabu search approach to scheduling in automotive manufacturing. 435-442
• 
  Hani Pourvaziri, Henri Pierreval:
  Combining metaheuristic search and simulation to deal with capacitated aisles in facility layout. 443-449
• 
  Jesús Enrique Sierra-García, Matilde Santos:
  Switched learning adaptive neuro-control strategy. 450-464
• 
  Mikel Larrea, Alain Porto, Eloy Irigoyen, Antonio J. Barragán, José Manuel Andújar:
  Extreme learning machine ensemble model for time series forecasting boosted by PSO: Application to an electric consumption problem. 465-472
• 
  Mirko Fáñez, José Ramón Villar, Enrique A. de la Cal, Víctor M. González, Javier Sedano, Samad Barri Khojasteh:
  Mixing user-centered and generalized models for Fall Detection. 473-486
• 
  José Antonio Moscoso López, Daniel Urda, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Ignacio J. Turias:
  A machine learning-based forecasting system of perishable cargo flow in maritime transport. 487-497
• 
  Esteban Jove, Roberto Casado-Vara, José Luís Casteleiro-Roca, Juan Albino Méndez Pérez, Zita A. Vale, José Luís Calvo-Rolle:
  A hybrid intelligent classifier for anomaly detection. 498-507

Special Section on Advanced Intelligent Computing Theory and Applications in Big Data Era - Guest Edited by Qinhu Zhang, Vitoantonio Bevilacqua and De-Shuang Huang

• 
  Qinhu Zhang, Vitoantonio Bevilacqua, De-Shuang Huang:
  Special issue: Advanced Intelligent Computing Theory and Applications in Big Data Era. 508-509

Medical Data Processing and COVID Detection

• 
  Miao Chen, Yi-Fei Pu, Yu-Cai Bai:
  Low-dose CT image denoising using residual convolutional network with fractional TV loss. 510-520
• 
  Chenxi Huang, Yongshuo Zong, Yimin Ding, Xin Luo, Kathy Clawson, Yonghong Peng:
  A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN. 521-533
• 
  Sandesh Gupta, Phalguni Gupta, Vivek Singh Verma:
  Study on anatomical and functional medical image registration methods. 534-548
• 
  Domenico Buongiorno, Giacomo Donato Cascarano, Irio De Feudis, Antonio Brunetti, Leonarda Carnimeo, Giovanni Dimauro, Vitoantonio Bevilacqua:
  Deep learning for processing electromyographic signals: A taxonomy-based survey. 549-565
• 
  Jiang Xie, Ruiying Wu, Haitao Wang, Haibing Chen, Xiaochun Xu, Yanyan Kong, Wu Zhang:
  Prediction of cardiovascular diseases using weight learning based on density information. 566-575
• 
  Xiaoming Liu, Shaocheng Wang, Ying Zhang, Dong Liu, Wei Hu:
  Automatic fluid segmentation in retinal optical coherence tomography images using attention based deep learning. 576-591
• 
  Xiang Yu, Siyuan Lu, Lili Guo, Shui-Hua Wang, Yu-Dong Zhang:
  ResGNet-C: A graph convolutional neural network for detection of COVID-19. 592-605

Image Processing

• 
  Le Zou, Liang-Tu Song, Thomas Weise, Xiao-Feng Wang, Qian-Jing Huang, Rui Deng, Zhize Wu:
  A survey on regional level set image segmentation models based on the energy functional similarity measure. 606-622
• 
  Umarani Jayaraman, Phalguni Gupta:
  Efficient similarity search on multidimensional space of biometric databases. 623-652
• 
  Meixiang Zhao, Zhigang Jia, Yunfeng Cai, Xiao Chen, Dunwei Gong:
  Advanced variations of two-dimensional principal component analysis for face recognition. 653-664
• 
  Shanwen Zhang, Wenzhun Huang, Zuliang Wang:
  Combing modified Grabcut, K-means clustering and sparse representation classification for weed recognition in wheat field. 665-674
• 
  Xiaoqing Li, Jiansheng Yang, Jinwen Ma:
  Recent developments of content-based image retrieval (CBIR). 675-689

Intelligent Computing Methods and Applications

• 
  Jian-Xun Mi, Lijian Yang, Lifang Zhou, Yueru Sun, Heng Kong:
  Symmetrical feature extraction via novel Mirror PCA. 690-704
• 
  Michal Choras, Marek Pawlicki:
  Intrusion detection approach based on optimised artificial neural network. 705-715
• 
  Feng Zou, Debao Chen, Qingzheng Xu, Ziqi Jiang, Jiahui Kang:
  A two-stage personalized recommendation based on multi-objective teaching-learning-based optimization with decomposition. 716-727
• 
  Chen Guo, Heng Tang, Ben Niu, Chang Boon Patrick Lee:
  A survey of bacterial foraging optimization. 728-746
• 
  Hong Wang, Ben Niu, Lijing Tan:
  Bacterial colony algorithm with adaptive attribute learning strategy for feature selection in classification of customers for personalized recommendation. 747-755
• 
  Carla E. Garcia, Mario R. Camana, Insoo Koo:
  Relay selection and power allocation for secrecy sum rate maximization in underlying cognitive radio with cooperative relaying NOMA. 756-767
• 
  Cristian Camardella, Michele Barsotti, Domenico Buongiorno, Antonio Frisoli, Vitoantonio Bevilacqua:
  Towards online myoelectric control based on muscle synergies-to-force mapping for robotic applications. 768-778

Special Section on Neural-Network-based Optimization and Analysis for Nonlinear Stochastic Systems - Guest Edited by Weihai Zhang, Xue-Jun Xie and Jinling Liang

• 
  Weihai Zhang, Xue-Jun Xie, Jinling Liang:
  Neural-network-based optimization and analysis for nonlinear stochastic systems. 779-780
• 
  Tianliang Zhang, Feiqi Deng:
  Adaptive finite-time synchronization of stochastic mixed time-varying delayed memristor-based neural networks. 781-788
• 
  Hui Wang, Wuquan Li, Meiqin Tang:
  Distributed output tracking of nonlinear multi-agent systems perturbed by second-order moment processes. 789-795
• 
  Xiangyu Wang, Jian Wang, Kai Zhang, Feng Lin, Qin Chang:
  Convergence and objective functions of noise-injected multilayer perceptrons with hidden multipliers. 796-812
• 
  Dan Yang, Xiaodi Li:
  Robust stability analysis of stochastic switched neural networks with parameter uncertainties via state-dependent switching law. 813-819
• 
  Zhaodong Liu, Ancai Zhang, Jianlong Qiu, Zhenxing Li:
  Event-triggered control of second-order nonlinear multi-agent systems with directed topology. 820-826
• 
  Yaqi Wang, Jungang Lou, Hongyan Yan, Jianquan Lu:
  Stability criteria for stochastic neural networks with unstable subnetworks under mixed switchings. 827-833