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ORCIDELM 2018: Singapore
- Jiuwen Cao, Chi-Man Vong, Yoan Miche, Amaury Lendasse:
Proceedings of ELM 2018, International Conference on Extreme Learning Machine, Singapore, 21-23 November 2018. Proceedings in Adaptation, Learning and Optimization 11, Springer 2020, ISBN 978-3-030-23306-8 - Weipeng Cao, Jinzhu Gao, Xizhao Wang, Zhong Ming, Shubin Cai:
Random Orthogonal Projection Based Enhanced Bidirectional Extreme Learning Machine. 1-10 - Yanbing Chen, Tao Liu, Jianjun Chen, Dongqi Li, Mengya Wu:
A Novel Feature Specificity Enhancement for Taste Recognition by Electronic Tongue. 11-16 - Anton Akusok, Emil Eirola:
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation. 17-26 - Lingkai Xing, Zhihong Man, Jinchuan Zheng, Tony Cricenti, Mengqiu Tao:
A Robust and Dynamically Enhanced Neural Predictive Model for Foreign Exchange Rate Prediction. 27-36 - Zhongyang Wang, Junchang Xin, Yue Zhao, Qiyong Guo:
Alzheimer's Disease Computer Aided Diagnosis Based on Hierarchical Extreme Learning Machine. 37-44 - Feixiang Zhao, Mingzhe Liu, Binyang Jia, Xin Jiang, Jun Ren:
Key Variables Soft Measurement of Wastewater Treatment Process Based on Hierarchical Extreme Learning Machine. 45-54 - Zhihong Miao, Qing He:
A Fast Algorithm for Sparse Extreme Learning Machine. 55-64 - Tan Guo, Lei Zhang, Xiaoheng Tan:
Extreme Latent Representation Learning for Visual Classification. 65-75 - Dayu Jia, Junchang Xin, Zhiqiong Wang, Wei Guo, Guoren Wang:
An Optimized Data Distribution Model for ElasticChain to Support Blockchain Scalable Storage. 76-85 - Donghong Han, Fulin Wei, Lin Bai, Xiang Tang, Tingshao Zhu, Guoren Wang:
An Algorithm of Sina Microblog User's Sentimental Influence Analysis Based on CNN+ELM Model. 86-97 - Xin Sun, Keck Voon Ling, Kok-Kee Sin, Lawrence Tay:
Extreme Learning Machine Based Intelligent Condition Monitoring System on Train Door. 98-107 - Bing Liu, Yong Zhou, Wei Sun:
Character-Level Hybrid Convolutional and Recurrent Neural Network for Fast Text Categorization. 108-117 - Weiqing Yan, Shuigen Wang, Guanghui Yue, Jindong Xu, Xiangrong Tong, Laihua Wang:
Feature Points Selection for Rectangle Panorama Stitching. 118-124 - Zhen Zhang, Guoren Wang, Xiangguo Zhao:
Point-of-Interest Group Recommendation with an Extreme Learning Machine. 125-133 - Lu Fang, Huaping Liu, Yanzhi Dong:
Research on Recognition of Multi-user Haptic Gestures. 134-143 - Liang Li
, Guoren Wang, Gang Wu, Qi Zhang:
Benchmarking Hardware Accelerating Techniques for Extreme Learning Machine. 144-153 - Boyang Li, Guoren Wang, Yurong Cheng, Yongjiao Sun:
An Event Recommendation Model Using ELM in Event-Based Social Network. 154-162 - Yoshitaka Itoh, Masaharu Adachi:
Reconstructing Bifurcation Diagrams of a Chaotic Neuron Model Using an Extreme Learning Machine. 163-172 - Haigang Zhang, Jinfeng Yang, Guimin Jia, Shaocheng Han:
Extreme Learning Machine for Multi-label Classification. 173-181 - Hangxu Ji, Gang Wu, Guoren Wang:
Accelerating ELM Training over Data Streams. 182-190 - Nan Liu, Lian Leng Low, Sean Shao Wei Lam, Julian Thumboo, Marcus Eng Hock Ong:
Predictive Modeling of Hospital Readmissions with Sparse Bayesian Extreme Learning Machine. 191-196 - Yuliang Ma, Ye Yuan, Guoren Wang, Xin Bi, Zhongqing Wang, Yishu Wang:
Rising Star Classification Based on Extreme Learning Machine. 197-206 - Sung Woo Byun, Da-Kyeong Oh, MyoungJin Son, Ju Hee Kim, Ye Jin Lee, Seok-Pil Lee:
Hand Gesture Recognition Using Clip Device Applicable to Smart Watch Based on Flexible Sensor. 207-215 - Jiangyan Zhang, Fuguo Xu, Yahui Zhang, Tielong Shen:
Receding Horizon Optimal Control of Hybrid Electric Vehicles Using ELM-Based Driver Acceleration Rate Prediction. 216-225 - Felis Dwiyasa, Meng-Hiot Lim:
CO-LEELM: Continuous-Output Location Estimation Using Extreme Learning Machine. 226-235 - Lingyun Xiang, Guohan Zhao, Qian Li, Zijie Zhu:
Unsupervised Absent Multiple Kernel Extreme Learning Machine. 236-246 - Kun Zhang, Lulu Tang, Zhi-Xin Yang, Luqing Luo:
Intelligent Machine Tools Recognition Based on Hybrid CNNs and ELMs Networks. 247-252 - Anurag Reddy Daram, Karan Paluru, Vedant Karia, Dhireesha Kudithipudi:
Scalable IP Core for Feed Forward Random Networks. 253-262 - Hao Zhang, Dingyi Zhang, Tao Ku:
Multi-objective Artificial Bee Colony Algorithm with Information Learning for Model Optimization of Extreme Learning Machine. 263-272 - Jatin Verma, Xu Yan, Junhua Zhao, Zhao Xu:
Short Term PV Power Forecasting Using ELM and Probabilistic Prediction Interval Formation. 273-282 - Zhen Li, Karl Ratner, Edward R. Ratner, Kallin Khan, Kaj-Mikael Björk, Amaury Lendasse:
A Novel ELM Ensemble for Time Series Prediction. 283-291 - Xue He, Tiancheng Zhang, Hengyu Liu, Ge Yu:
An ELM-Based Ensemble Strategy for POI Recommendation. 292-302 - Chen Zhao, Kaicheng Li, Xuebin Xu:
A Method Based on S-transform and Hybrid Kernel Extreme Learning Machine for Complex Power Quality Disturbances Classification. 303-318 - Guanghao Zhang, Dongshun Cui, Shangbo Mao, Guang-Bin Huang:
Sparse Bayesian Learning for Extreme Learning Machine Auto-encoder. 319-327 - Yuzhong Peng, Huasheng Zhao, Jie Li, Xiao Qin, Jianping Liao, Zhiping Liu:
A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP. 328-335 - Zhihuan Chen, Zhaoxia Wang, Zhiping Lin, Ting Yang:
Comparing ELM with SVM in the Field of Sentiment Classification of Social Media Text Data. 336-344
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