Programme

Further information about the Keynote Speeches can be found here.

Conference program (more detailed programme in the full programme file and below).

December 12 2016, Monday
7:00pm – 9:30pm	Welcome Reception Venue: Stewords Riverboat, 31 Marina Coastal Driver, Berth 1 Marina South Pier 1

December 13 2016, Tuesday
Venue	Cassia Junior Ballroom3211-3212, 3311-3312, Expo & Convention Centre, Marina Bay Sands
8:30am – 8:40am	Opening Ceremony Honorary Speech by Bernard Widrow, Stanford University, USA
8:40am – 9:30am	Keynote 1: Deep and Extreme Learning with Densely Clustered Random NeuralNetworks Speaker: Erol Gelenbe, Imperial Colleague, UK Chair: Donald C. Wunsch II, Missouri University of Science & Technology, USA
9:30am – 10:20am	Keynote 2: Extreme Learning Machines (ELM): Enabling Pervasive Learning and Pervasive Intelligence Speaker: Guang-Bin Huang, Nanyang Technological University, Singapore Chair: Erol Gelenbe, Imperial College, UK
10:20am – 10:40am	Coffee Break and Discussions Venue: Heliconia Junior Ballroom: Foyer
10:40am – 11:30pm	Keynote 3: ELM Methods for Robot Dexterous Operations Using Vision and Tactile Sensing Speaker: Fuchun Sun, Tsinghua University, China Chair: Yoan Miche, Nokia Solutions and Networks, Finland
Venues	Cassia Junior Ballroom	Heliconia Junior Ballroom: 3412		Heliconia Junior Ballroom: 3413			Heliconia Junior Ballroom: 3513
11:30am – 1:10pm	Session TM1: ELM in Social Network	Session TM2: ELM Algorithms (I)		Session TM3: ELM in Imbalanced and Stream Data			Session TM4: ELM Theory (I)
1:10pm – 2:30pm	Lunch Venue: Heliconia Junior Ballroom: 3410AB-1,3510-1
Venues	Cassia Junior Ballroom		Heliconia Junior Ballroom: 3412	Heliconia Junior Ballroom: 3413			Heliconia Junior Ballroom: 3513
2:30pm – 4:30pm	Session TA1: ELM Algorithm (II)		Session TA2: ELM in Unsupervised Learning	Session TA3: Hierarchical ELM and Deep Learning			Session TA4: ELM Applications
4:30pm – 4:50pm	Coffee Break and Discussions Venue: Heliconia Junior Ballroom: Foyer
4:50pm – 6:30pm	Session TA5: ELM Theory (II)		Session TA6: ELM in Web/Text Mining	Session TA7: ELM in Clustering/Transfer Learning			Session TA8: ELM in Detection and Estimation

December 14 2016, Wednesday
Venue	Cassia Junior Ballroom3211-3212, 3311-3312, Expo & Convention Centre, Marina Bay Sands
8:30am – 9:20am	Keynote 4: Why Brains Need Computers: How Big Data and Machine Learning can Improve Neurology Speaker: M. Brandon Westover, Harvard Medical School, USA Chair: Guang-Bin Huang, Nanyang Technological University, Singapore
9:20am – 10:10am	Keynote 5: ELM for Big Incomplete Data Speaker: Amaury Lendasse, University of Iowa, USA Chair: Qing He, Chinese Academy of Science, China
10:10am – 10:30am	Coffee Break and Discussions Venue: Heliconia Junior Ballroom: Foyer
Venues	Cassia Junior Ballroom		Heliconia Junior Ballroom: 3412		Heliconia Junior Ballroom: 3413	Heliconia Junior Ballroom: 3513
10:30am – 12:30pm	Session WM1: ELM in Biomedical Engineering		Session WM2: ELM with Optimization		Session WM3: ELM in Image Processing	Session WM4: ELM in Prediction
12:30pm – 2:00pm	Lunch Venue: Heliconia Junior Ballroom: 3410AB-1,3510-1
Venue	Cassia Junior Ballroom3211-3212, 3311-3312, Expo & Convention Centre, Marina Bay Sands
2:00pm – 2:50pm	Keynote 6: Extreme Learning Machines for Energy Applications Speaker: Donald C. Wunsch II, Missouri University of Science & Technology, USA Chair: Amaury Lendasse, University of Iowa, USA
2:50pm – 3:40pm	Keynote 7: Smart Grid Dynamic Security Assessment with ELM Speaker: Zhaoyang Dong, University of Sydney, Australia Chair: Chi Man Vong, University of Macau, Macau
3:40pm – 4:00pm	Coffee Break and Discussions Venue: Heliconia JuniorBallroom: Foyer
4:00pm – 5:00pm	Panel Discussions – Big Data, Hierarchical Machine Learning and Biological Learning Panel members - Matt Travis Bianchi, Harvard Medical School, USA Zhaoyang Dong, University of Sydney, Australia Erol Gelenbe, Imperial College, UK Amaury Lendasse, University of Iowa, USA Fuchun Sun, Tsinghua University, China M. Brandon Westover, Harvard Medical School, USA Donald C. Wunsch II, Missouri University of Science & Technology, USA Chair: Guang-Bin Huang, Nanyang Technological University, Singapore
6:30pm – 7:00pm	Banquet Cocktail
7:00pm – 10:00pm	Conference Banquet Venue: Cassia Junior Ballroom 3211-3212, 3311-3312, Expo & Convention Centre, Marina Bay Sands Guest-of-Honour Tsuhan Chen, Dean of College of Engineering, Nanyang Technological University, Singapore

December 15 2016, Thursday
9:00am – 5:00pm	Social and Interactive Networking Activities (Only for confirmed registered participants) Meeting Time: 9:00am Meeting Venue: Coach Bay (Hotel Tower 1, Level B1), Expo & Convention Centre, Marina Bay Sands

Full Technical Program

11:30am – 01:10pm	Session TM1: ELM in Social Network Chair: Soujanya Poria **Venue: Cassia Junior Ballroom**
11:30am	Friend Recommendation in Location-Based Social Networks Using ELM Zhen Zhang, Xiangguo Zhao and Guoren Wang Northeastern University, China
11:50am	A Novel Recommendation System in Location-Based Social Networks Using Distributed ELM Xiangguo Zhao, Zhongyu Ma and Zhen Zhang Northeastern University, China
12:10am	A Dynamic Graph-based Model User-centered Recommendation Method Using US-ELM Linlin Ding, Baishuo Han and Baoyan Song Liaoning University, China
12:30am	Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining Rajiv Bajpai¹, Devamanyu Hazarika², Kunal Singh³, PrateekVij³, Soujanya Poria¹ and Erik Cambria¹ ¹Nanyang Technological University, Singapore ²National Institute of Technology, India ³Indian Institute of Technology, India
12:50am	Microblog User Geolocation by Multi-view Learning Xingyu Gao, Zhenyu Chen, Juan Cao, Yongdong Zhang, and Jintao Li Chinese Academy of Sciences, China

11:30am – 01:10pm	Session TM2: ELM Algorithms (I) Chair: Norbert Jankowski **Venue: Heliconia Junior Ballroom: 3412**
11:30am	Orthogonal Super Greedy Algorithm for Sparse Extreme Learning Machine Lin Xu, Xia Liu and Xiangyong Cao Xi’an Jiaotong University, China
11:50am	Prototype-based kernels for Extreme Learning Machines Norbert Jankowski Nicolaus Copernicus University, Poland
12:10am	Extreme Learning Machine for Joint Embedding and Clustering Tianchi Liu, Liyanaarachchi Kasun, Guang-Bin Huang and Zhiping Lin Nanyang Technological University, Singapore
12:30am	Improving The Multimodal Probabilistic Semantic Model by ELM Classifiers Yu Zhang, Ye Yuan, Yishu Wang and Guoren Wang Northeastern University, China
12:50am	Reinforcement Extreme Learning Machine for Mobile Robot Navigation Hongjie Geng¹, Huaping Liu² and Bowen Wang¹ ¹Hebei University of Technology, China ²Tsinghua University, China

11:30am – 01:10pm	Session TM3: ELM in Imbalanced and Stream Data Chair: Chi Man Vong **Venue: Heliconia Junior Ballroom: 3413**
11:30am	A Vehicle Detection Method based on Online Sequential ELM with Deep ConvNet Features Jiarong Han, Xin Xu, Kun Zhao and Yujun Zeng National University of Defense Technology Changsha, China
11:50am	Self-Adaptive Framework for Efficient Stream Data Classification on Storm Shizhuo Deng, Botao Wang, Shan Huang, Chuncheng Yue, Jianpeng Zhou and Guoren Wang Northeastern University, China
12:10am	A refined framework of weighted extreme learning machine for imbalance learning Chengbo Lu¹, Haifeng Ke², Gaoyan Zhang² and Ying Mei¹ ¹Lishui University, China ²Zhejiang University City College, China
12:30am	Kernel based online learning for imbalance multiclass classification Shuya Ding¹, Bilal Mirza², Zhiping Lin¹, Jiuwen Cao³, Xiaoping Lai, Tam V. Nguyen² and Jose Sepulveda² ¹Nanyang Technological University, Singapore ²Singapore Polytechnic, Singapore ³Hangzhou Dianzi University, China
12:50am	Online Sequential Extreme Learning Machine with Under-sampling and Over-sampling for Imbalanced Big Data Classification Jie Du, Chi Man Vong, Yajie Chang and Yang Jiao University of Macau, Macau

11:30am – 01:10pm	Session TM4: ELM Theory (I) Chair: Yoan Miche **Venue: Heliconia Junior Ballroom: 3513**
11:30am	Kernel Extreme Learning Machine based on Fuzzy Set Theory for Multi-Label Classification Yanika Kongsorot, Punyaphol Horata and Pakarat Musikawan Khon Kaen University, Thailand
11:50am	Complexity and Stability Optimization for ELM Based on Parameter Diversity Jingchao Cao, Yuheng Jia and Sam Kwong City University of Hong Kong, Hong Kong
12:10am	Per-sample Prediction Intervals for Extreme Learning Machines Anton Akusok¹, Yoan Miche², Kaj-Mikael Björk³ and AmauryLendasse⁴ ¹Arcada University of Applied Sciences, Finland ²Nokia Solutions and Networks Group, Finland ³Risklab at Arcada University of Applied Sciences, Finland ⁴The University of Iowa, USA
12:30am	Marginal Fisher Analysis Dimensionality Reduction Algorithm via Extreme Learning Machine and Spectral Regression Liu Bing, Yong Zhou, Zhan-guo Xia, Peng Liu and Qiu-yan Yan China University of Mining and Technology, China
12:50am	Probabilistic GNN Query Optimization Based on Classification Using ELM Jiajia Li¹, Xiufeng Xia¹, Xiangyu Liu¹, Botao Wang², Dahai Zhou¹ and Yunzhe An¹ ¹Shenyang Aerospace University, China ²Northeastern University, China

02:30pm – 04:30pm	Session TA1: ELM Algorithm (II) Chair: Anton Akusok **Venue: Cassia Junior Ballroom**
02:30pm	Improved Bidirectional Extreme Learning Machine Based on Enhanced Random Search Cao Weipeng, Ming Zhong, Wang Xizhao and Cai Shubin Shenzhen University, China
02:50pm	A Novel Multimodal Retrieval Model based on ELM Yu Zhang, Ye Yuan, Yishu Wang and Guoren Wang Northesatern University
03:10pm	A Multi-Valued Neuron ELM with Complex-Valued Inputs for System Identification using FRA Francesco Grasso, Antonio Luchetta and Stefano Manetti University of Florence, Italy
03:30pm	Quaternion Extreme Learning Machine Hui Lv and Huisheng Zhang Dalian Maritime University, China
03:50pm	ELMVIS++R - Mastering Visualization with Target Variables Andrey Gritsenko¹, Anton Akusok², Stephen Baek¹ and Amaury Lendasse^1,2 ¹The University of Iowa, USA ²Risklab at Arcada University of Applied Sciences, Finland
04:10pm	Storages are not forever Erik Cambria¹, Anupam Chattopadhyay¹, Eike Linn², Bappaditya Mandal³ and Bebo White⁴ ¹Nanyang Technological University, Singapore ²RWTH Aachen University, Germany ³ASTAR, Singapore* ⁴Stanford University, USA

02:30pm – 04:30pm	Session TA2: ELM in Unsupervised Learning Chair: Shuang Li **Venue: Heliconia Junior Ballroom: 3412**
02:30pm	A Unified Distributed ELM Framework with Supervised, Semi-supervised and Unsupervised Learning Junchang Xin, Hongxu Yang, Luxuan Qu and Xiaosong Gao Northeastern University, China
02:50pm	Unsupervised Online Sequential Extreme Learning Machine Based on Fuzzy Theory XiaodongYang^1,2,3,4, Yiqiang Chen^1,2, Hanchao Yu^1,2,4, Xi Zhong^1,2,3,4 and Ziang Hu^1,2,3,4 ¹Chinese Academy of Sciences, China ²The Beijing Key Laboratory of Mobile Computing and Pervasive Device, China ³University of Chinese Academy of Sciences, China ⁴Beijing Key Laboratory for Parkinson’s Disease, China
03:10pm	Semi-Supervised Multi-Graph Classification Using Extreme Learning Machine Jun Pang^1,2,3, Yu Gu³, Jia Xu⁴ and Ge Yu³ ¹Wuhan University of Science and Technology, China ²Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System ³Northeastern University, China ⁴Guangxi University, China
03:30pm	Incremental ELMVIS for unsupervised learning Anton Akusok¹, Emil Eirola¹, Yoan Miche^2,3, Ian Oliver², Kaj-Mikael Björk⁴, Andrey Gritsenko^5,6, Stephen Baek⁵ and Amaury Lendasse^1,5 ¹Arcada University of Applied Sciences, Finland ²Nokia Solutions and Networks Group, Finland ³Aalto University, Finland ⁴Risklab at Arcada University of Applied Sciences, Finland ⁵The University of Iowa, USA
03:50pm	Domain Mean Matching Extreme Learning Machine for Unsupervised Domain Adaptation Shuang Li, Shiji Song, and Gao Huang Tsinghua University, China

02:30pm – 04:30pm	Session TA3: Hierarchical ELM and Deep Learning Chair: Huaping Liu **Venue: Heliconia Junior Ballroom: 3413**
02:30pm	Haptic Recognition Using Hierarchical Local-Receptive-Field-Based Extreme Learning Machine Fengxue Li¹, Xinying Xu¹, Huaping Liu² and Fuchun Sun² ¹Taiyuan University of Technology, China ²Tsinghua University, China
02:50pm	Multi-layer Extreme Learning Machine With Enhancing the Local Significant Region Xiaobo Li, Xibin Jia and Ya Jin Beijing University of Technology, China
03:10pm	Hierarchical Local-Receptive-Field-Based Extreme Learning Machine For Active Object Recognition Fengxue Li¹, Xinying Xu¹, Huaping Liu²and Fuchun Sun² ¹Taiyuan University of Technology, China ²Tsinghua University, China
03:30pm	Towards Enhancing Stacked Extreme Learning Machine With Sparse Autoencoder by Correntropy Xiong Luo^1,2, Yang Xu^1,2, Weiping Wang^1,2, Manman Yuan^1,2, Xiaojuan Ban^1,2 and Yueqin Zhu³ ¹University of Science and Technology Beijing, China ²Beijing Key Laboratory of Knowledge Engineering for Materials Science, China. ³China Geological Survey, China
03:50pm	Motor Imagery EEG Classification Based on Hierarchical Extreme Learning Machine Lijuan Duan^1,2, Menghu Bao^1,2, Song Cui^1,2 and Yuanhua Qiao¹ ¹Beijing University of Technology, China ²National Engineering Laboratory for Critical Technologies of Information Security Classified Protection, China
04:10pm	Deep-Learned and Hand-Crafted Features Fusion Network for Pedestrian Gender Recognition Lei Cai, Jianqing Zhu, Huanqiang Zeng, Jing Chen and Canhui Cai Huaqiao University, China

02:30pm – 04:30pm	Session TA4: ELM Applications Chair: Amaury Lendasse **Venue: Heliconia Junior Ballroom: 3513**
02:30pm	Earthen Archaeological Site Monitoring Data Analysis Using Kernel-based ELM and Non-uniform Sampling TFR Yue Qi¹, Mingzhe Zhu¹, Xinliang Zhang¹ and Fei Fu² ¹Xidian University, China ²Northwest University, China
02:50pm	OKRELM: Online Kernelized and Regularized Extreme Learning Machine for Wearable-based Activity Recognition Lisha Hu^1,2,3, Yiqiang Chen^1,2, Shuangquan Wang^1,2, Jindong Wang^1,2,3, Chunyu Hu^1,2,3 and Xinlong Jiang^1,2,3 ¹Chinese Academy of Sciences, China ²The Beijing Key Laboratory of Mobile Computing and Pervasive Device, China ³University of Chinese Academy of Sciences, China
03:10pm	Extreme Learning Machine for Room Recognition based on Laser Scanning Xing Weng¹, Huaping Liu² and Bowen Wang¹ ¹Hebei University of Technology, China ²Tsinghua University, China
03:30pm	FSELM: Fusion Semi-supervised Extreme Learning Machine for Indoor Localization with Wi-Fi and Bluetooth Fingerprints Xinlong Jiang^1,2,3, Yiqiang Chen^1,2, Junfa Liu^1,2, Zhengyu Huang^1,2,4, Yang Gu^1,2 and Lisha Hu^1,2,3 ¹Chinese Academy of Sciences, China ²Beijing Key Laboratory of Mobile Computing and Pervasive Device, China ³University of Chinese Academy of Sciences, China ⁴Xiangtan University, China
03:50pm	3D human gesture capturing and recognition by the IMMU-based data glove Bin Fang, Fuchun Sun and Huaping Liu Tsinghua University, China
04:10pm	Parameter-Free Image Segmentation with SLIC Fabian Boemer¹, Ed Ratner¹ and Amaury Lendasse² ¹Lyrical Labs, USA ²The University of Iowa, USA

04:50pm – 06:30pm	Session TA5: ELM Theory (II) Chair: Jiuwen Cao **Venue: Cassia Junior Ballroom**
04:50pm	Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation Yan Liu, Chi Man Vong and Pak-Kin Wong University of Macau, Macau
05:10pm	Shared Subspace Learning via Cross-domain Extreme Learning Machine Yan Liu and Lei Zhang Chongqing University, China
05:30pm	Quasi-curvature Local Linear Projection and Extreme Leaning Machine for Nonlinear Dimensionality Reduction Shenglan Liu, Jun Wu, Lin Feng and Sen Luo Dalian University of Technology, China
05:50pm	Robotic Grasp Stability Analysis using Extreme Learning Machine Peng Bai^1,2, Huaping Liu², Fuchun Sun² and Meng Gao¹ ¹Shijiazhuang Tiedao University, China ²Tsinghua University, China
06:10pm	Back Propagation Convex Extreme Learning Machine Weidong Zou, Fenxi Yao, Baihai Zhang and Zixiao Guan Beijing Institute of Technology, China

04:50pm – 06:30pm	Session TA6: ELM in Web/Text Mining Chair: Yuanlong Yu **Venue: Heliconia Junior Ballroom: 3412**
04:50pm	Extreme Learning Machine for Intent Classification of Web data Yogesh Parth¹ and Zhaoxia Wang² ¹Space Applications Centre (SAC),India ²ASTAR, Singapore*
05:10pm	Hot News Click Rate Prediction Based on Extreme Learning Machine and Grey Verhulst Model Jingting Xu, Jun Feng, Xia Sun, Lei Zhang and Xiaoning Liu Northwest University, China
05:30pm	Adaptive Network Intrusion Detection System using Extreme Learning Machines Setareh Roshan^1,2, Yoan Miche³, Aapo Kalliola³, Amaury Lendasse⁴ and Anton Akusok⁵ ¹F-Secure Corporation, Finland ²Aalto University, Finland ³Bell Labs, Nokia, Finland ⁴The University of Iowa, USA ⁵Arcada University of Applied Sciences, Finland
05:50pm	Chinese Text Sentiment Classification based on Extreme Learning Machine Fangye Lin and Yuanlong Yu Fuzhou University, China
06:10pm	Gaussian Derivative Models and Extreme Learning Machine for Texture Classification Yan Song¹, Shujing Zhang², Bo He¹, Qixin Sha¹, Yue Shen¹, Tianhong Yan³, Rui Nian¹ and Amaury Lendasse⁴ ¹Ocean University of China, China ²Hebei Normal University, China ³China Jiliang University, China ⁴The University of Iowa, USA

04:50pm – 06:30pm	Session TA7: ELM in Clustering/Transfer Learning Chair: Qing He **Venue: Heliconia Junior Ballroom: 3413**
04:50pm	Two Birds with One Stone: Classifying Positive and Unlabeled Examples on Uncertain Data Streams Donghong Han^1,3, Shuoru Li¹, Fulin Wei¹, Yuying Tang¹, Feida Zhu² and Guoren Wang^1,3 ¹Northeastern University, China ²Singapore Management University, Singapore ³Key Laboratory of Medical Image Computing (NEU), China
05:10pm	ELM-based Large-Scale Genetic Association Study via Statistically Significant Pattern Yuan Li, Yuhai Zhao, Guoren Wang, Zhanghui Wang and Min Gao Northeastern University, China
05:30pm	Multi-Kernel Transfer Extreme Learning Classification Xiaodong Li¹, Weijie Mao², Wei Jiang² and Ye Yao¹ ¹Hangzhou Dianzi University, China ²Zhejiang University, China
05:50pm	A Novel Clustering Method based on Extreme Learning Machine Jinhong Huang and Zhu Liang Yu South China University of Technology, China
06:10pm	A Fast Algorithm for Sparse ELM via a New Clipping Scheme Zhihong Miao¹ and Qing He² ¹Chinese People’s Armed Police Forces Academy, China ²Chinese Academy of Sciences, China

04:50pm – 06:30pm	Session TA8: ELM in Detection and Estimation Chair: Zhiping Lin **Venue: Heliconia Junior Ballroom: 3513**
04:50pm	Learning Flow Characteristics Distributions with ELM for Distributed Denial of Service Detection and Mitigation Aapo Kalliola^1,2, Yoan Miche¹, Amaury Lendasse⁴, Kaj-Mikael Björk³, Anton Akusok³ and Tuomas Aura² ¹Bell Labs, Nokia, Finland ²Aalto University, Finland ³Arcada University of Applied Sciences, Finland ⁴The University of Iowa, USA
05:10pm	Discovering Emergence and Bidding Behaviour in Competitive Electricity Market using Agent-Based Simulation Ly Fie Sugianto and Zhigang Liao Monash University, Australia
05:30pm	Excavation Devices Localization with the Focusing Matrix based MUSIC Algorithm and Extreme Learning Machine Kai Ye¹, Jianzhong Wang¹, Jiuwen Cao¹, Tianlei Wang¹, Anke Xue¹, Yuhua Cheng² and Chun Yin² ¹Hangzhou Dianzi University, China ²University of Electronic Science and Technology of China, China
05:50pm	Design of the MOI Method with an Improved PCNN Model for Crack Detection Yuhua Cheng¹, Chun Yin¹, Lulu Tian¹, Xuegang Huang², Jiuwen Cao³ and Libing Bai¹ ¹University of Electronic Science and Technology of China, China ²China Aerodynamics Research & Development Center, China ³Hangzhou Dianzi University, China
06:10pm	Room Occupancy Estimation using Sparse Linear Discriminant Analysis and Extreme Learning Machine Yue Li, Tianchi Liu and Guang-Bin Huang Nanyang Technological University, Singapore

Dec 14 2016, Wednesday

10:30am – 12:30pm	Session WM1: ELM in Biomedical Engineering Chair: Muhammad Rizwan **Venue: Cassia Junior Ballroom**
10:30am	Detection of Cellular Spikes and Classification of Cells from Raw Nanoscale Biosensor Data Muhammad Rizwan¹, Abdul Hafeez², Ali R. Butt³ and Samir M. Iqbal^4,5 ¹Georgia Institute of Technology, USA ²KP University of Engineering & Tech, Pakistan ³Virginia Polytechnic Institute and State University, USA ⁴University of Texas at Arlington, USA ⁵University of Texas Southwestern Medical Center at Dallas, USA
10:50am	Kernel Principle Component Analysis based on Rotation Forest for Gene Expression Data Classification Huijuan Lu¹, Yaqiong Meng¹, Ke Yan¹, Yu Xue² and Zhigang Gao³ ¹China Jiliang University, China ²Nanjing University of Information Science & Technology, China ³Hangzhou Dianzi University, China
11:10am	Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events Nan Liu^1,2, Jeffrey Tadashi Sakamoto³, Jiuwen Cao⁴, Zhi Xiong Koh¹, Andrew Fu Wah Ho¹, Zhiping Lin⁵ and Marcus Eng Hock Ong^1,6 ¹Singapore General Hospital, Singapore ²Duke-NUS Medical School, Singapore ³Duke University School of Medicine, USA ⁴Hangzhou Dianzi University, China ⁵Nanyang Technological University,Singapore ⁶Duke-NUS Medical School, Singapore
11:30am	Predicting Huntington's Disease: Extreme Learning Machine with Missing Values Emil Eirola¹, Anton Akusok¹, Kaj-Mikael Björk¹ and Amaury Lendasse² ¹Arcada University of Applied Sciences, Finland ²The University of Iowa, USA
11:50am	Assessing EEG-Vigilance in Open Eye and Situation-Aware State using Extreme Learning Machine Autoencoder and Restricted Boltzmann Machine Haoqi Sun, Olga Sourina and Guang-Bin Huang Nanyang Technological University, Singapore
12:10pm	A new similarity analysis of EEG signals for automatic epileptic seizure detection Sihui Li, Wenfeng Hu, Jiangling Song, Duo Li and Rui Zhang Northwest University, China

10:30am – 12:10pm	Session WM2: ELM with Optimization Chair: Chi Man Vong **Venue: Heliconia Junior Ballroom: 3412**
10:30am	Multiple Shadows Layered Cooperative Velocity Updating Particle Swarm Optimization Hongbo Wang, Kezhen Wang and Xuyan Tu University of Science and Technology Beijing, China
10:50am	Reconstruction based Spatiotemporal Fusion via Extreme Learning Machine Xun Liu¹, Chenwei Deng¹, Zhenzhen Li¹, Guang-Bin Huang² and Baojun Zhao¹ ¹Beijing Institute of Technology, China ²Nanyang Technological University, Singapore
11:10am	ADMM based on -regularized-ELM and Application in Soft Sensor Dazi Li, Zhiyin Liu and Qibing Jin Beijing University of Chemical Technology, China
11:30am	Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration Pak Kin Wong, Xianghui Gao, Ka In Wong and Chi Man Vong University of Macau, Macau
11:50am	Ensemble Application of ELM and GPU for Real-Time Multimodal Sentiment Analysis Ha-Nguyen Tran and Erik Cambria Nanyang Technological University, Singapore

10:30am – 12:10pm	Session WM3: ELM in Image Processing Chair: Lei Zhang **Venue: Heliconia Junior Ballroom: 3413**
10:30am	Discriminative Extreme Learning Machine for Face Recognition Tan Guo, Xiaoheng Tan and Lei Zhang Chongqing University, China
10:50am	A Multiway Semi-Supervised Online Sequential Extreme Learning Machine for Facial Expression Recognition with Kinect RGB-D Images Xinyuan Chen and Xibin Jia Beijing University of Technology, China
11:10am	Patch-based Sobel Operator Method to detect Seam-Carved Images by Extreme Learning Machines Hui-Jun Cheng, Jin Ye, Jyh-Da Wei and Chun-Yuan Lin Chang Gung University, Taiwan
11:30am	Automatic Detection of Neovascularization in Retinal Images using Extreme Learning Machine He Huang^1,2, He Ma¹, Han JW van Triest¹, Yinghua Wei³, and Wei Qian¹ ¹Northeastern University, China ²Jinzhou Medical University, China ³ The Third Affiliated Hospital of Jinzhou Medical University, China
11:50am	Facial Landmark Detection vis ELM feature selection and improved SDM Peng Bian¹, Yi Jin^2,3 and Jiuwen Cao⁴ ¹North China University of Technology, China ²Beijing Jiaotong University, China ³Beijing Key Lab of Traffic Data Analysis and Mining, China ⁴Hangzhou Dianzi University, China

10:30am – 12:30pm	Session WM4: ELM in Prediction Chair: Enmei Tu **Venue: Heliconia Junior Ballroom: 3513**
10:30am	Ocean Wave Height Prediction using Ensemble of Extreme Learning Machine N. Krishna kumar¹, R. Savitha²and Abdullah Al Mamun¹ ¹National University of Singapore, Singapore ²Institute of Infocomm Research, Agency for Science, Technology and Research, Singapore
10:50am	Financial Time Series Prediction Using RF-ELM Jingming Xue^1,2, Sihang Zhou¹, Xinwang Liu¹, Qiang Liu¹ and Jianping Yin¹ ¹College of Computer National University of Defense Technology, China ²Bank of Changsha Co., Ltd., China
11:10am	Smart Home: Accurate Prediction of Energy Consumption with Extreme Learning Machine Variants Sachin Kumar¹, Shobha Rai¹, Rampal Singh¹and Saibal K Pal² ¹University of Delhi, India ²Defence Research Development Organisation, India
11:30am	Data Fusion Using OPELM for low-cost sensors in AUV Jia Guo¹, Bo He¹, Pengfei Lv¹, Tianhong Yan² and Amaury Lendasse³ ¹Ocean University of China, China ²China Jiliang University, China ³The University of Iowa, USA
11:50am	An Automatic Identification System (AIS) Database for Maritime Trajectory Prediction and Data Mining Shangbo Mao¹, Enmei Tu¹, Guanghao Zhang¹, Lily Rachmawati², Eshan Rajabally³ and Guang-Bin Huang¹ ¹Nanyang Technological University, Singapore ²Advanced Technology Centre, Rolls-Royce Singapore Pte Ltd, Singapore ³Strategic Research Center, Rolls-Royce Plc, Singapore
12:10am	Short Term Prediction of Continuous Time Series Based on Extreme Learning Machine Hongbo Wang, Peng Song, Chengyao Wang and Xuyan Tu University of Science and Technology Beijing, China

General

Authors' Info

Participants

Programme

Conference program (more detailed programme in the full programme file and below).

Full Technical Program