Cambria, Erik
Proceedings of ELM-2016
1. Earthen Archaeological Site Monitoring Data Analysis Using Kernel-based ELM and Non-uniform Sampling TFR
Yue Qi, Mingzhe Zhu, Xinliang Zhang, Fei Fu
2. A Multi-valued Neuron ELM with Complex-Valued Inputs for System Identification Using FRA
Francesco Grasso, Antonio Luchetta, Stefano Manetti
3. Quaternion Extreme Learning Machine
Hui Lv, Huisheng Zhang
4. Robotic Grasp Stability Analysis Using Extreme Learning Machine
Peng Bai, Huaping Liu, Fuchun Sun, Meng Gao
5. Extreme Learning Machine for Intent Classification of Web Data
Yogesh Parth, Wang Zhaoxia
6. Reinforcement Extreme Learning Machine for Mobile Robot Navigation
Hongjie Geng, Huaping Liu, Bowen Wang, Fuchun Sun
7. Detection of Cellular Spikes and Classification of Cells from Raw Nanoscale Biosensor Data
Muhammad Rizwan, Abdul Hafeez, Ali R. Butt, Samir M. Iqbal
8. Hot News Click Rate Prediction Based on Extreme Learning Machine and Grey Verhulst Model
Xu Jingting, Feng Jun, Sun Xia, Zhang Lei, Liu Xiaoning
9. Multiple Shadows Layered Cooperative Velocity Updating Particle Swarm Optimization
Hongbo Wang, Kezhen Wang, Xuyan Tu
10. Short Term Prediction of Continuous Time Series Based on Extreme Learning Machine
Hongbo Wang, Peng Song, Chengyao Wang, Xuyan Tu
11. Learning Flow Characteristics Distributions with ELM for Distributed Denial of Service Detection and Mitigation
Aapo Kalliola, Yoan Miche, Ian Oliver, Silke Holtmanns, Buse Atli, Amaury Lendasse, Kaj-Mikael Bjork, Anton Akusok, Tuomas Aura
12. Discovering Emergence and Bidding Behaviour in Competitive Electricity Market Using Agent-Based Simulation
Ly-Fie Sugianto, Zhigang Liao
13. Multi-kernel Transfer Extreme Learning Classification
Xiaodong Li, Weijie Mao, Wei Jiang, Ye Yao
14. Chinese Text Sentiment Classification Based on Extreme Learning Machine
Fangye Lin, Yuanlong Yu
15. Incremental ELMVIS for Unsupervised Learning
Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
16. Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values
Emil Eirola, Anton Akusok, Kaj-Mikael Björk, Hans Johnson, Amaury Lendasse
17. Deep-Learned and Hand-Crafted Features Fusion Network for Pedestrian Gender Recognition
Lei Cai, Jianqing Zhu, Huanqiang Zeng, Jing Chen, Canhui Cai
18. Facial Landmark Detection via ELM Feature Selection and Improved SDM
Peng Bian, Yi Jin, Jiuwen Cao
19. Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification
Jie Du, Chi-Man Vong, Yajie Chang, Yang Jiao
20. An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining
Shangbo Mao, Enmei Tu, Guanghao Zhang, Lily Rachmawati, Eshan Rajabally, Guang-Bin Huang
21. Back Propagation Convex Extreme Learning Machine
Weidong Zou, Fenxi Yao, Baihai Zhang, Zixiao Guan
22. Data Fusion Using OPELM for Low-Cost Sensors in AUV
Jia Guo, Bo He, Pengfei Lv, Tianhong Yan, Amaury Lendasse
Keywords: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics)
- Editor
- Cambria, Erik
- Cao, Jiuwen
- Lendasse, Amaury
- Miche, Yoan
- Vong, Chi Man
- Publisher
- Springer
- Publication year
- 2018
- Language
- en
- Edition
- 1
- Series
- Proceedings in Adaptation, Learning and Optimization
- Page amount
- 13 pages
- Category
- Technology, Energy, Traffic
- Format
- Ebook
- eISBN (PDF)
- 9783319574219
- Printed ISBN
- 978-3-319-57420-2