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ORCIDNeurocomputing, Volume 174
Volume 174, Part A, January 2016
- Amaury Lendasse, Chi-Man Vong
, Yoan Miche, Guang-Bin Huang:
Advances in extreme learning machines (ELM2014). 1-3 - Dusan Sovilj, Kaj-Mikael Björk, Amaury Lendasse:
Comparison of combining methods using Extreme Learning Machines under small sample scenario. 4-17 - Qian Wang, Weiguo Wang, Rui Nian, Bo He, Yue Shen, Kaj-Mikael Björk, Amaury Lendasse:
Manifold learning in local tangent space via extreme learning machine. 18-30 - Adela-Diana Almasi, Stanislaw Wozniak, Valentin Cristea, Yusuf Leblebici, Ton Engbersen:
Review of advances in neural networks: Neural design technology stack. 31-41 - Migel D. Tissera, Mark D. McDonnell:
Deep extreme learning machines: supervised autoencoding architecture for classification. 42-49 - Soujanya Poria, Erik Cambria, Newton Howard, Guang-Bin Huang, Amir Hussain:
Fusing audio, visual and textual clues for sentiment analysis from multimodal content. 50-59 - Le-le Cao, Wen-bing Huang, Fuchun Sun:
Building feature space of extreme learning machine with sparse denoising stacked-autoencoder. 60-71 - Wan-Yu Deng, Yew-Soon Ong, Puay Siew Tan, Qing-Hua Zheng:
Online sequential reduced kernel extreme learning machine. 72-84 - Jianchuan Yin, Nini Wang:
An online sequential extreme learning machine for tidal prediction based on improved Gath-Geva fuzzy segmentation. 85-98 - Alexander Grigorievskiy, Yoan Miche, Maarit Käpylä, Amaury Lendasse:
Singular Value Decomposition update and its application to (Inc)-OP-ELM. 99-108 - Zhao-Xu Yang, Guang-She Zhao, Hai-Jun Rong, Jing Yang:
Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes. 109-120 - Zhixin Yang, Pengbo Zhang, Lei Chen:
RFID-enabled indoor positioning method for a real-time manufacturing execution system using OS-ELM. 121-133 - Zhixin Xu, Min Yao, Zhaohui Wu, Weihui Dai:
Incremental regularized extreme learning machine and it's enhancement. 134-142 - Sihang Zhou, Xinwang Liu, Qiang Liu, Siqi Wang, Chengzhang Zhu, Jianping Yin:
Random Fourier extreme learning machine with ℓ2, 1-norm regularization. 143-153 - Federica Bisio, Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino:
Inductive bias for semi-supervised extreme learning machine. 154-167 - Xibin Jia, Runyuan Wang, Junfa Liu, David M. W. Powers:
A semi-supervised online sequential extreme learning machine method. 168-178 - Xiong Luo, Xiaohui Chang, Xiaojuan Ban:
Regression and classification using extreme learning machine based on L1-norm and L2-norm. 179-186 - Minghua Zhao, Xiao-feng Ding, Zhenghao Shi, Quanzhu Yao, Yongqin Yuan, Rui-yang Mo:
An efficient active set method for optimization extreme learning machines. 187-193 - Keyan Cao, Guoren Wang, Donghong Han, Mei Bai, Shuoru Li:
An algorithm for classification over uncertain data based on extreme learning machine. 194-202 - Xiaodong Li, Weijie Mao, Wei Jiang:
Extreme learning machine based transfer learning for data classification. 203-210 - Jiajia Li, Botao Wang, Guoren Wang, Yifei Zhang:
Probabilistic threshold query optimization based on threshold classification using ELM for uncertain data. 211-219 - Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse:
Extreme learning machine for missing data using multiple imputations. 220-231 - Haigang Zhang, Yixin Yin, Sen Zhang:
An improved ELM algorithm for the measurement of hot metal temperature in blast furnace. 232-237 - Rampal Singh, Neelam Dabas, Vikash Chaudhary, Nagendra:
Online Sequential Extreme Learning Machine for watermarking in DWT domain. 238-249 - Yong Peng, Wei-Long Zheng, Bao-Liang Lu:
An unsupervised discriminative extreme learning machine and its applications to data clustering. 250-264 - Yong Peng, Bao-Liang Lu:
Discriminative manifold extreme learning machine and applications to image and EEG signal classification. 265-277 - Liuyang Wang, Huaping Liu, Fuchun Sun:
Dynamic texture video classification using extreme learning machine. 278-285 - Yu Zhang, Lin Zhang, Ping Li:
A novel biologically inspired ELM-based network for image recognition. 286-298 - Borja Ayerdi, Manuel Graña:
Hyperspectral image nonlinear unmixing and reconstruction by ELM regression ensemble. 299-309 - Shuigen Wang, Chenwei Deng, Baojun Zhao, Guang-Bin Huang, Baoxian Wang:
Gradient-based no-reference image blur assessment using extreme learning machine. 310-321 - Huaping Liu, Lianzhi Yu, Wen Wang, Fuchun Sun:
Extreme learning machine for time sequence classification. 322-330 - Pak-Kin Wong, Jianhua Zhong, Zhixin Yang, Chi-Man Vong:
Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis. 331-343 - Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse:
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. 344-351 - Shan Huang, Botao Wang, Junhao Qiu, Jitao Yao, Guoren Wang, Ge Yu:
Parallel ensemble of online sequential extreme learning machine based on MapReduce. 352-367 - Junchang Xin, Zhiqiong Wang, Luxuan Qu, Ge Yu, Yan Kang:
A-ELM⁎: Adaptive Distributed Extreme Learning Machine with MapReduce. 368-374 - Xiangguo Zhao, Xin Bi, Guoren Wang, Zhen Zhang, Hongbo Yang:
Uncertain XML documents classification using Extreme Learning Machine. 375-382
- Bo-Wei Chen, Wen Ji, Seungmin Rho:
Divide-and-conquer signal processing, feature extraction, and machine learning for big data. 383 - Liang Li, Chenggang Clarence Yan, Xing Chen, Chunjie Zhang, Jian Yin, Baochen Jiang, Qingming Huang:
Distributed image understanding with semantic dictionary and semantic expansion. 384-392 - Irfan Mehmood, Muhammad Sajjad, Seungmin Rho, Sung Wook Baik:
Divide-and-conquer based summarization framework for extracting affective video content. 393-403 - Xinwei Gao, Feng Jiang, Shaohui Liu, Wenbin Che, Xiaopeng Fan, Debin Zhao:
Hierarchical frame based spatial-temporal recovery for video compressive sensing coding. 404-412 - Kashif Iqbal, Michael O. Odetayo, Anne E. James, Rahat Iqbal, Neeraj Kumar, Shovan Barma:
An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images. 413-430 - Chungang Yang:
Learning methodologies for wireless big data networks: A Markovian game-theoretic perspective. 431-438 - Awais Ahmad, Anand Paul, M. Mazhar Rathore:
An efficient divide-and-conquer approach for big data analytics in machine-to-machine communication. 439-453
- Huiyu Zhou, Dongbing Gu, Ling Wang, Minrui Fei:
Editorial: Special issue: Life system modeling and simulation. 454-455 - Li Deng, Gen Lu, Yuying Shao, Minrui Fei, Huosheng Hu:
A novel camera calibration technique based on differential evolution particle swarm optimization algorithm. 456-465 - Min Zheng, Zheng Mao, Kang Li, Minrui Fei:
Quadratic separation framework for stability analysis of a class of systems with time delays. 466-474 - Jin Zhang, Chen Peng, Dajun Du, Min Zheng:
Adaptive event-triggered communication scheme for networked control systems with randomly occurring nonlinearities and uncertainties. 475-482 - Fei Liu, Monika Heiner, Ming Yang:
Representing network reconstruction solutions with colored Petri nets. 483-493 - Haiping Ma, Minrui Fei, Zhile Yang:
Biogeography-based optimization for identifying promising compounds in chemical process. 494-499 - Yongling Wu, Xiaodong Zhao, Kang Li, Min Zheng, Shaoyuan Li:
Energy saving - Another perspective for parameter optimization of P and PI controllers. 500-513 - Chunfeng Wei, Yang Fu, Zhenkun Li, Yiliu Jiang:
Optimal DG penetration rate planning based on S-OPF in active distribution network. 514-521 - Xin-Yuan Luan, Zhan-Pei Li, Tingzhang Liu:
A novel attribute reduction algorithm based on rough set and improved artificial fish swarm algorithm. 522-529 - Li Jia, Xunlong Li, Min-Sen Chiu:
The identification of neuro-fuzzy based MIMO Hammerstein model with separable input signals. 530-541 - Jing Jie, Jing Zhang, Hui Zheng, Beiping Hou:
Formalized model and analysis of mixed swarm based cooperative particle swarm optimization. 542-552
Volume 174, Part B, January 2016
- Renquan Lu, Shuang Liu, Hui Peng, Yong Xu, Kan Xie:
Non-fragile filtering for fuzzy stochastic systems over fading channel. 553-559 - Zhe Wang, Hongsheng Li, Qinwei Zhang, Jing Yuan, Xiaogang Wang:
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning. 560-570 - Feng Wang, Wei-Wei Che, Huiling Xu:
H∞ filtering for uncertain systems with time-delay and randomly occurred sensor nonlinearities. 571-576 - Li-Min Li, Kang-Di Lu, Guo-Qiang Zeng, Lie Wu, Min-Rong Chen:
A novel real-coded population-based extremal optimization algorithm with polynomial mutation: A non-parametric statistical study on continuous optimization problems. 577-587 - Jie Zhong, Jianquan Lu, Chi Huang, Lulu Li, Jinde Cao:
Finding graph minimum stable set and core via semi-tensor product approach. 588-596 - Shu Li, MingZhe Gong, Yan-Jun Liu:
Neural network-based adaptive control for a class of chemical reactor systems with non-symmetric dead-zone. 597-604 - Ke Xu, Keju Zou, Yan Huang, Xiaoyang Yu, Xinfang Zhang:
Mining community and inferring friendship in mobile social networks. 605-616 - Xinjiang Lu, Chuang Zhou, Minghui Huang, WenBing Lv:
Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system. 617-626 - Xiangyang Wang, Yu-nan Liu, Shuo Li, Hong-Ying Yang, Panpan Niu:
Robust image watermarking approach using polar harmonic transforms based geometric correction. 627-642 - Zuyu Yin, Jian Hou:
Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes. 643-650 - Ning Wang, Jing-Chao Sun, Meng Joo Er, Yancheng Liu:
Hybrid recursive least squares algorithm for online sequential identification using data chunks. 651-660 - Ming-Wei Li, Jing Geng, Duanfeng Han, Tian-Ju Zheng:
Ship motion prediction using dynamic seasonal RvSVR with phase space reconstruction and the chaos adaptive efficient FOA. 661-680 - Chicheng Huang, Huaqing Li, Dawen Xia, Li Xiao:
Distributed consensus of multi-agent systems over general directed networks with limited bandwidth communication. 681-688 - Qi Zhou, Di Liu, Kai Sun, Chengwei Wu, Xing Xing:
Design of observer-based controller for T-S fuzzy systems with intermittent measurements. 689-697 - Ashish Kumar Bhandari, D. Kumar, Anil Kumar, Girish Kumar Singh:
Optimal sub-band adaptive thresholding based edge preserved satellite image denoising using adaptive differential evolution algorithm. 698-721 - Qianru Sun, Hong Liu, Liqian Ma, Tianwei Zhang:
A novel hierarchical Bag-of-Words model for compact action representation. 722-732 - Baohua Zhang, Xiaoqi Lu, Haiquan Pei, He Liu, Ying Zhao, Wentao Zhou:
Multi-focus image fusion algorithm based on focused region extraction. 733-748 - Zhenyu Lu, Linghua Zhang:
Face recognition algorithm based on discriminative dictionary learning and sparse representation. 749-755 - Zhan Wang, Qiuqi Ruan, Gaoyun An:
Facial expression recognition using sparse local Fisher discriminant analysis. 756-766 - Linlin Li, Steven X. Ding, Ying Yang, Yong Zhang:
Robust fuzzy observer-based fault detection for nonlinear systems with disturbances. 767-772 - Liyuan Hou, Jun Cheng, Hailing Wang:
Finite-time stochastic boundedness of discrete-time Markovian jump neural networks with boundary transition probabilities and randomly varying nonlinearities. 773-779 - Qingyun Yang, Mou Chen:
Adaptive neural prescribed performance tracking control for near space vehicles with input nonlinearity. 780-789 - Zhi-Min Li, Xiao-Heng Chang, Xiao-Kun Du, Lu Yu:
H∞ control of discrete-time uncertain linear systems with quantized feedback. 790-794 - Gnaneswaran Nagamani, S. Ramasamy:
Dissipativity and passivity analysis for uncertain discrete-time stochastic Markovian jump neural networks with additive time-varying delays. 795-805 - Peng Wang, Bo Xu, Jiaming Xu, Guanhua Tian, Cheng-Lin Liu, Hongwei Hao:
Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification. 806-814 - Li Zhuo, Pei Zhang, Panling Qu, Yuanfan Peng, Jing Zhang, Xiaoguang Li:
A K-PLSR-based color correction method for TCM tongue images under different illumination conditions. 815-821 - Nir Nossenson, Ari Magal, Hagit Messer:
Detection of stimuli from multi-neuron activity: Empirical study and theoretical implications. 822-837 - Zheng Yang, Haifeng Liu, Deng Cai, Zhaohui Wu:
A-Optimal Non-negative Projection with Hessian regularization. 838-849 - Shuo Miao, Jing Wang, Quanxue Gao, Fang Chen, Yong Wang:
Discriminant structure embedding for image recognition. 850-857 - Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. 858-865 - Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaïd:
Iterative deep learning for image set based face and object recognition. 866-874 - Rishabh Gupta, Khalil ur Rehman Laghari, Tiago H. Falk:
Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization. 875-884 - Chuangchun Hua, Yuanyuan Wang, Yafeng Li, Huiguang Li:
Decentralized output feedback adaptive NN tracking control of interconnected nonlinear time-delay systems with prescribed performance. 885-896 - Shuai Liu, Guoliang Wei, Yan Song, Yurong Liu:
Error-constrained reliable tracking control for discrete time-varying systems subject to quantization effects. 897-905 - Xin Gao, Jian Hou:
An improved SVM integrated GS-PCA fault diagnosis approach of Tennessee Eastman process. 906-911 - Qi Li, Bo Shen, Yurong Liu, Fuad E. Alsaadi:
Event-triggered H ∞ state estimation for discrete-time stochastic genetic regulatory networks with Markovian jumping parameters and time-varying delays. 912-920 - Huihong Zhao, Chenghui Zhang:
Non-Gaussian noise quadratic estimation for linear discrete-time time-varying systems. 921-927 - Ding Wang, Hongwen Ma, Derong Liu:
Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks. 928-936 - Zhanyu Ma, Zheng-Hua Tan, Jun Guo:
Feature selection for neutral vector in EEG signal classification. 937-945 - Bruno Almeida Pimentel, Renata M. C. R. de Souza:
Multivariate Fuzzy C-Means algorithms with weighting. 946-965 - Chengyu Hou, Liu Yongzhen, Wenjing Hou:
Analysis of the ionospheric time-varying effects on the radar echoes based on ionogram inversion. 966-973 - Serkan Aras, Ipek Deveci Kocakoç:
A new model selection strategy in time series forecasting with artificial neural networks: IHTS. 974-987 - Yueqing Wang, Zhige Xie, Kai Xu, Yong Dou, Yuanwu Lei:
An efficient and effective convolutional auto-encoder extreme learning machine network for 3d feature learning. 988-998 - Danfeng Hong, Wanquan Liu, Xin Wu, Zhenkuan Pan, Jian Su:
Robust palmprint recognition based on the fast variation Vese-Osher model. 999-1012 - Jung-Min Pak, Choon Ki Ahn, Chang Joo Lee, Peng Shi, Myo-Taeg Lim, Moon Kyou Song:
Fuzzy horizon group shift FIR filtering for nonlinear systems with Takagi-Sugeno model. 1013-1020 - Dusan Stosic, Darko Stosic, Teresa Bernarda Ludermir:
Voting based q-generalized extreme learning machine. 1021-1030 - Hui Tian, Zhanshan Wang, Yanfang Hou, Huaguang Zhang:
State feedback controller design for synchronization of master-slave Boolean networks based on core input-state cycles. 1031-1037 - José Alfredo Ruiz Vargas, Emerson Grzeidak, Kevin Herman Muraro Gularte, Sadek Crisóstomo Absi Alfaro:
An adaptive scheme for chaotic synchronization in the presence of uncertain parameter and disturbances. 1038-1048 - Ting He, Luying Cao, Valentina Emilia Balas, Pamela McCauley, Fuqian Shi:
Curvature manipulation of the spectrum of Valence-Arousal-related fMRI dataset using Gaussian-shaped Fast Fourier Transform and its application to fuzzy KANSEI adjectives modeling. 1049-1059 - Xian Zhang, Yuanyuan Han, Ligang Wu, Jiahua Zou:
M-matrix-based globally asymptotic stability criteria for genetic regulatory networks with time-varying discrete and unbounded distributed delays. 1060-1069 - Wenxing Fu, Yuji Wang, Supeng Zhu, Yingzhou Xia:
Neural adaptive control of hypersonic aircraft with actuator fault using randomly assigned nodes. 1070-1076 - Yuan Gao, Hong Liu, Pingping Wu, Can Wang:
A new descriptor of gradients Self-Similarity for smile detection in unconstrained scenarios. 1077-1086 - Jiaoliao Chen, Jiangxin Yang, Jiangwu Zhao, Fang Xu, Sheng Zheng, Libin Zhang:
Energy demand forecasting of the greenhouses using nonlinear models based on model optimized prediction method. 1087-1100 - Wei Liu, Shaozi Li, Donglin Cao, Songzhi Su, Rongrong Ji:
Detection based object labeling of 3D point cloud for indoor scenes. 1101-1106 - Yun Li, Jun Yang, Wei Ji:
Local learning-based feature weighting with privacy preservation. 1107-1115 - Xiaofan Lin, Gang Wei:
Generalized non-convex non-smooth sparse and low rank minimization using proximal average. 1116-1124 - Yang Yang, Dong Yue:
Distributed adaptive consensus tracking for a class of multi-agent systems via output feedback approach under switching topologies. 1125-1132 - Yang Chen, Dazhi Wang, Shaocheng Tong:
Forecasting studies by designing Mamdani interval type-2 fuzzy logic systems: With the combination of BP algorithms and KM algorithms. 1133-1146 - Xin-Ran Zhou, Chun-Sheng Wang:
Cholesky factorization based online regularized and kernelized extreme learning machines with forgetting mechanism. 1147-1155 - Wenliang Li, Weiyang Lin, Jinyong Yu:
Predicting contact characteristics for helical gear using support vector machine. 1156-1161
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