The 9^th International Conference on Extreme Learning Machines (ELM2018)

Marina Bay Sands, Singapore, November 21 – 23, 2018

Organized by: Nanyang Technological University, Singapore

Co-organized by: Tsinghua University, China; Shanghai Jiaotong University, China; University of New South Wales, Australia; City University of Hong Kong

Registration Link: http://elm2018.extreme-learning-machines.org

The final technical program of ELM2018 is now available: http://www.ntu.edu.sg/home/egbhuang/elm2018/pdf/ELM2018-Master-Timetable-Preliminary2.pdf

Tutorial:

“Tutorial on Deep Learning and Extreme Learning Machines (ELM),” Gao Huang, Tsinghua University, China/Cornell University, USA, (Author of well-known deep learning network: DenseNet, and influential papers on Unsupervised ELM and tutorial on ELM; Best Paper Award Recipient of CVPR2017)

Confirmed Keynotes:

1.      Evangelos S Eleftheriou, IBM Zurich Research Laboratory, Switzerland, “In-memory Computing: Accelerating AI Applications”

2.      Guang-Bin Huang, Nanyang Technological University, Singapore, “Hierarchical ELM for Big Data Analysis”

3.      Eric Cambria, Nanyang Technological University, Singapore, “Ensemble Application of Symbolic AI and ELM for Sentiment Analysis”

4.      Amaury Lendasse, University of Houston, USA, “ELMs for Dimensionality Reduction: Survey and Novel Methods”

5.      Jonathan Wu, University of Windsor, Canada, “Complex Action Recognition in Constrained and Unconstrained Videos”

6.      Hongbin Ma, Beijing Institute of Technology, China, “Fusion of Adaptive Control, Artificial Intelligence and Computational Geometry – How Extreme Learning Machines (ELM) Improve Control Performance”

7.      Zhihong Man, Swinburne University of Technology, Australia, “A New Intelligent Pattern Classifier Based on Deep-Thinking”

8.      Sigeru Omatu, Osaka Institute of Technology, Japan, “Smell Classification of Human Body by Learning Vector Quantization”

9.      Tielong Shen, Sophia University, Japan, “Machine Learning in Automotive Powertrain Control”

10.  David E. Stewart, University of Iowa, USA, “ELMVIS+ and GradSwaps for Visualizing Complex Datasets”

11.  Zhiping Lin, Nanyang Technological University, Singapore, “Sequential Extreme Learning Machines for Class Imbalance and Concept Drift”

12.  Kay Chen Tan, City University of Hong Kong, Hong Kong, title to be confirmed