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ORCIDNeurocomputing, Volume 128
Volume 128, March 2014
- Amaury Lendasse, Qing He, Yoan Miche
, Guang-Bin Huang:
Advances in extreme learning machines (ELM2012). 1-3 - S. Balasundaram, Deepak Gupta, Kapil:
1-Norm extreme learning machine for regression and multiclass classification using Newton method. 4-14 - Kuan Li, Xiangfei Kong, Zhi Lu, Liu Wenyin, Jianping Yin:
Boosting weighted ELM for imbalanced learning. 15-21 - Huijuan Lu, Chun-lin An, En-hui Zheng, Yi Lu:
Dissimilarity based ensemble of extreme learning machine for gene expression data classification. 22-30 - Xiaolin Wang, Yangyang Chen, Hai Zhao, Bao-Liang Lu:
Parallelized extreme learning machine ensemble based on min-max modular network. 31-41 - Jian-Nan Chi, Chenfei Qian, Pengyun Zhang, Wendong Xiao, Lihua Xie:
A novel ELM based adaptive Kalman filter tracking algorithm. 42-49 - Lu Guo, Jinghua Hao, Min Liu:
An incremental extreme learning machine for online sequential learning problems. 50-58 - Ning Wang, Min Han, Nuo Dong, Meng Joo Er:
Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification. 59-72 - Darya Chyzhyk, Alexandre Savio, Manuel Graña:
Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI. 73-80 - Shizhong Liao, Chang Feng:
Meta-ELM: ELM with ELM hidden nodes. 81-87 - Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi:
Clustering in extreme learning machine feature space. 88-95 - Xiaodong Li, Weijie Mao, Wei Jiang:
Fast sparse approximation of extreme learning machine. 96-103 - Dajun Du, Kang Li, Xue Li, Minrui Fei, Haikuan Wang:
A multi-output two-stage locally regularized model construction method using the extreme learning machine. 104-112 - Atlas Khan, Jie Yang, Wei Wu:
Double parallel feedforward neural network based on extreme learning machine with L1/2 regularizer. 113-118 - Yang Gu, Junfa Liu, Yiqiang Chen, Xinlong Jiang, Hanchao Yu:
TOSELM: Timeliness Online Sequential Extreme Learning Machine. 119-127 - Hong-Gui Han, Lidan Wang, Junfei Qiao:
Hierarchical extreme learning machine for feedforward neural network. 128-135 - Chi-Man Vong, Weng-Fai Ip, Pak-Kin Wong, Chi-Chong Chiu:
Predicting minority class for suspended particulate matters level by extreme learning machine. 136-144 - Kaisheng Yao, Dong Yu, Li Deng, Yifan Gong:
A fast maximum likelihood nonlinear feature transformation method for GMM-HMM speaker adaptation. 145-152 - Zhan-Li Sun, Han Wang, Wai-Shing Lau, Gerald Seet, Danwei Wang:
Application of BW-ELM model on traffic sign recognition. 153-159 - Wentao Zhu, Jun Miao, Jiangbi Hu, Laiyun Qing:
Vehicle detection in driving simulation using extreme learning machine. 160-165 - Hai-Jun Rong, Ya-Xin Jia, Guang-She Zhao:
Aircraft recognition using modular extreme learning machine. 166-174 - Zhiqiong Wang, Ge Yu, Yan Kang, Yingjie Zhao, Qixun Qu:
Breast tumor detection in digital mammography based on extreme learning machine. 175-184 - Kangrok Oh, Beom-Seok Oh, Kar-Ann Toh, Wei-Yun Yau, How-Lung Eng:
Combining sclera and periocular features for multi-modal identity verification. 185-198 - Jiaoyan Chen, Guozhou Zheng, Cong Fang, Ningyu Zhang, Huajun Chen, Zhaohui Wu:
Time-series processing of large scale remote sensing data with extreme learning machine. 199-206 - Ramón Moreno, Francesco Corona, Amaury Lendasse, Manuel Graña, Lênio S. Galvão:
Extreme learning machines for soybean classification in remote sensing hyperspectral images. 207-216 - Bing Liu, Liwei Tang, Jianbin Wang, Aihua Li, Yali Hao:
2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM. 217-223 - Gang Yin, Ying-Tang Zhang, Zhining Li, Guo-Quan Ren, Hongbo Fan:
Online fault diagnosis method based on Incremental Support Vector Data Description and Extreme Learning Machine with incremental output structure. 224-231 - Bin Xu, Yongping Pan, Danwei Wang, Fuchun Sun:
Discrete-time hypersonic flight control based on extreme learning machine. 232-241 - Lei Zhao, Wen-Jian Cai, Zhihong Man:
Neural modeling of vapor compression refrigeration cycle with extreme learning machine. 242-248 - Pak-Kin Wong, Zhixin Yang, Chi-Man Vong, Jianhua Zhong:
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine. 249-257 - Debby Dan Wang, Ran Wang, Hong Yan:
Fast prediction of protein-protein interaction sites based on Extreme Learning Machines. 258-266 - Yong-Xian Fan, Hong-Bin Shen:
Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine. 267-272 - Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, Amaury Lendasse:
Extreme learning machine towards dynamic model hypothesis in fish ethology research. 273-284 - Haoming Zhong, Chunyan Miao, Zhiqi Shen, Yuhong Feng:
Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings. 285-295 - Qi Yu, Yoan Miche, Eric Séverin, Amaury Lendasse:
Bankruptcy prediction using Extreme Learning Machine and financial expertise. 296-302
- Retraction notice to: Bifurcations and chaos in a discrete-time-delayed Hopfield neural network with ring structures and different internal decays [Neurocomputing 99 (2013) 154-162]. 303
- Xiaozhao Fang, Yong Xu, Xuelong Li, Zizhu Fan, Hong Liu, Yan Chen:
Locality and similarity preserving embedding for feature selection. 304-315 - Rasoul Faraji, Hamid Reza Naji:
An efficient crossover architecture for hardware parallel implementation of genetic algorithm. 316-327 - Carlos Augusto Teixeira Mendes, Marcelo Gattass, Hélio Lopes:
FGNG: A fast multi-dimensional growing neural gas implementation. 328-340 - Fei Yin, Licheng Jiao, Fanhua Shang, Lin Xiong, Xiaodong Wang:
Sparse regularization discriminant analysis for face recognition. 341-362 - Gai-Ge Wang, Amir Hossein Gandomi, Amir Hossein Alavi:
Stud krill herd algorithm. 363-370 - Roberta A. de A. Fagundes, Renata M. C. R. de Souza, Francisco José de A. Cysneiros:
Interval kernel regression. 371-388 - Mehdi Hajian, Asghar Akbari Foroud, Ali Akbar Abdoos:
New automated power quality recognition system for online/offline monitoring. 389-406 - Yan-Lin He, Zhiqiang Geng, Yuan Xu, Qunxiong Zhu:
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise. 407-414 - Waled Hussein Al-Arashi, Haidi Ibrahim, Shahrel Azmin Suandi:
Optimizing principal component analysis performance for face recognition using genetic algorithm. 415-420 - Young-Min Jang, Rammohan Mallipeddi, Sangil Lee, Ho-Wan Kwak, Minho Lee:
Human intention recognition based on eyeball movement pattern and pupil size variation. 421-432 - Elisabet Parras-Gutierrez, Víctor M. Rivas, Maribel García Arenas, María José del Jesus:
Short, medium and long term forecasting of time series using the L-Co-R algorithm. 433-446 - Bin Chen, An Zhang, Lu Cao:
Autonomous intelligent decision-making system based on Bayesian SOM neural network for robot soccer. 447-458 - Jianmin Duan, Manfeng Hu, Yongqing Yang, Liuxiao Guo:
A delay-partitioning projection approach to stability analysis of stochastic Markovian jump neural networks with randomly occurred nonlinearities. 459-465 - Lin Zhao, Xinbo Gao, Yuan Yuan, Dapeng Tao:
Sparse frontal face image synthesis from an arbitrary profile image. 466-475 - Sabri Arik:
A new condition for robust stability of uncertain neural networks with time delays. 476-482 - Xiaohui Xu, Jiye Zhang, Jizhong Shi:
Exponential stability of complex-valued neural networks with mixed delays. 483-490 - Chi-Jie Lu:
Sales forecasting of computer products based on variable selection scheme and support vector regression. 491-499 - Yongjiao Sun, Ye Yuan, Guoren Wang:
Extreme learning machine for classification over uncertain data. 500-506 - Jan Chorowski, Jian Wang, Jacek M. Zurada:
Review and performance comparison of SVM- and ELM-based classifiers. 507-516
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