Sunday, 8 October 2017

Call for participation: IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, Japan (Oct 19-21)


The 4th IEEE International Conference on Data Science and Advanced
Analytics (DSAA 2017), which is also supported by ACM and ASA, will
take place in Tokyo, Japan, in October 19-21, 2017. Please plan to
participate. DSAA2017 will be an ideal place to learn the
state-of-the-art of Data Science and Advanced Analytics, meet people
to exchange ideas and find opportunities to job matching. DSAA2017 is
featured with two main Tracks (Research and Application), several
Special Tracks, Keynote talks, Trend & Controversies Panel, Invited
Industrial talks and Tutorials.

Please visit https://www.dslab.it.aoyama.ac.jp/dsaa2017/ for the
latest information.

- Date: October 19-21 2-5, 2017
- Location: Shinagawa Prince Hotel in Tokyo, Japan
- Advanced Registration and Accommodation: due to 10 September

Highlight Summary

Technical presentations: About 80 technical papers will be presented.
in Research track, Application track and Special Session track.

Keynote speech: Three distinguished speakers will deliver the keynote.

 Hiroaki Kitano (The Systems Biology Institute, Japan)
 Nobel Turing Challenge: Grand Challenge of AI, Robotics, and Systems Biology

 Michael I. Jordan (University of California, Berkeley, USA)
 On Computational Thinking, Inferential Thinking and Data Science

 Dr. Katharina J. Morik (TU Dortmund, Germany)
 Data Analytics for Data Science


Trend & Controversies Panel: One of unique highlights of DSAA. This
year's theme for discussion is "Trust". Specific focuses range from 1)
the privacy and transparency issue, 2) the fairness between those who
own the data and those who do not, 3) the discrimination caused by big
data analysis, 4) model generalization capability, i.e. How can we
trust the outcome of our mining results? How can we trust the model
used, e.g. deep learning, etc.?

Speakers and panelists include Dino Pedreschi (University of Pisa, Italy),
Katharina Morik (TU Dortmund, Germany), Hesuan-Tien Lin (National
Taiwan University and Appier, Taiwan), Ying Li (DataSpark Pte. Ltd., Singapore).

Invited Industrial Talks: Financial sponsors and selected speakers
from industries will give their visions on data science and data
analytics. Speakers include Yanjun Ma (Baidu, China),Wenuan Dai (The
4th Paradigm Data & Technology Co., Ltd., China), Kei Harada
(Financial Engineering Group).


Organizing Committee of DSAA2017

General Chairs

  Hiroshi Motoda (Osaka University, Japan)
  Fosca Giannotti (Inf. Sci. and Tech. Inst. of NRC at Pisa, Italy),
  Tomoyuki Higuchi (Inst. of Statistical Mathematics, Japan)

Program Chairs
 Research Track
  Takashi Washio (Osaka University, Japan)
  Joao Gama (University of Porto, Portugal)
 Application Track
  Ying Li ( DataSpark Pte. Ltd., Singapore)
  Rajesh Parekh (Facebook. USA)
 Special Session
  Huan Liu (Arizona State University, USA)
  Albert Bifet (Telecom ParisTech, France)
  Richards D. De Veaux (Williams College, USA)

T&C Panel Chairs
  Pau-Choo (Julia) Chung (National Cheng Kung University, Taiwan)
  Geoff Webb (Monash University, Australia)
  Philip Yu (University of Illinois at Chicago, USA)
  Bart Goethals (University of Antwerp, Belgium)

Invited Industry Talk Chairs
  Hang Li (Huawei Technologies, Hong Kong)
  Matsuo Yutaka (University of Tokyo, Japan)

Tutorial Chairs
  Vincent Tseng (National Chiao Tung University, Taiwan)
  Zhi-Hua Zhou (Nanjing University, Chian)

Best Paper Award Chair
  Bamshad Mobasher (DePaul University, USA)

Next Generation Data Scientist Award Chairs
  Kenji Yamanishi (University of Tokyo, Japan)
  Xin Wang (University of Calgary, Canada)

Travel Awards Chair
  Zhexue Huang (Shenzhen University, China)

Publicity Chairs
  Tu Bao Ho (Japan Advanced Inst. of Sci. & Technol., Japan)
  Diane Cook (Washington State University, USA)
  Marzena Kryszkiewicz (Warsaw University of Technol., Poland)

Local organizing chairs
  Satoshi Kurihara (University of Electro-Communications, Japan)
  Hiromitsu Hattori (Ritsumeikan University, Japan)

Publication Chair
 Toshihiro Kamishima (Nat. Inst. of Advanced Indust. Sci. & Technol.,
 Japan)

Web Chair
 Kouzuo Ohara (Aoyama Gakuin University, Japan)

Sponsorship Chairs
 Kiyoshi Izumi (University of Tokyo, Japan)
 Yoji Kiyota (LIFULL Co. Ltd., Japan)
 Tadashi Yanagihara (KDDI Research, Japan)
 Longbing Cao (University of Technology Sydney, Australia)
 Byeong Ho Kang (University of Tasmania, Australia)




Friday, 6 October 2017

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 8, August 2017.

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 8, August 2017.
Posted by: Haibo He (ieeetnnls@gmail.com)
Date submitted: August 1, 2017

The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 28, Issue 8, August 2017.

This issue published papers on memristive neural networks, recurrent neural networks, manifold learning, reinforcement learning, complex networks,  causality analysis, adaptive dynamic programming,  among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5962385
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 8, August 2017.

1. A Survey of Memristive Threshold Logic Circuits
Author(s): Akshay Kumar Maan; Deepthi Anirudhan Jayadevi; Alex Pappachen James
Page(s): 1734 - 1746
http://ieeexplore.ieee.org/document/7464347/

2. A Collective Neurodynamic Approach to Distributed Constrained Optimization
Author(s): Qingshan Liu; Shaofu Yang; Jun Wang
Page(s): 1747 - 1758
http://ieeexplore.ieee.org/document/7452624/

3. Spectrum-Diverse Neuroevolution With Unified Neural Models
Author(s): Danilo Vasconcellos Vargas; Junichi Murata
Page(s): 1759 - 1773
http://ieeexplore.ieee.org/document/7460958/

4. Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier
Author(s): Ghasem Ahmadi; Mohammad Teshnehlab
Page(s): 1774 - 1786
http://ieeexplore.ieee.org/document/7460133/

5. MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation
Author(s): Xutao Li; Michael K. Ng; Gao Cong; Yunming Ye; Qingyao Wu
Page(s): 1787 - 1800
http://ieeexplore.ieee.org/document/7460200/

6. Understanding Social Causalities Behind Human Action Sequences
Author(s): Ruichu Cai; Zhenjie Zhang; Zhifeng Hao; Marianne Winslett
Page(s): 1801 - 1813
http://ieeexplore.ieee.org/document/7463496/

7. Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning
Author(s): Bilal Piot; Matthieu Geist; Olivier Pietquin
Page(s): 1814 - 1826
http://ieeexplore.ieee.org/document/7464854/

8. Passivity of Directed and Undirected Complex Dynamical Networks With Adaptive Coupling Weights
Author(s): Jin-Liang Wang; Huai-Ning Wu; Tingwen Huang; Shun-Yan Ren; Jigang Wu
Page(s): 1827 - 1839
http://ieeexplore.ieee.org/document/7465830/

9. Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays
Author(s): Ramasamy Saravanakumar; Muhammed Syed Ali; Choon Ki Ahn; Hamid Reza Karimi; Peng Shi
Page(s): 1840 - 1850
http://ieeexplore.ieee.org/document/7466838/

10. Shrinkage Degree in L2-Rescale Boosting for Regression
Author(s): Lin Xu; Shaobo Lin; Yao Wang; Zongben Xu
Page(s): 1851 - 1864
http://ieeexplore.ieee.org/document/7467568/

11. Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning
Author(s): Kazunori Iwata
Page(s): 1865 - 1877
http://ieeexplore.ieee.org/document/7468547/

12. Exponential Synchronization of Memristive Neural Networks With Delays: Interval Matrix Method
Author(s): Xinsong Yang; Jinde Cao; Jinling Liang
Page(s): 1878 - 1888
http://ieeexplore.ieee.org/document/7469328/

13. A Memristive Multilayer Cellular Neural Network With Applications to Image Processing
Author(s): Xiaofang Hu; Gang Feng; Shukai Duan; Lu Liu
Page(s): 1889 - 1901
http://ieeexplore.ieee.org/document/7469884/

14. An Adaptive NN-Based Approach for Fault-Tolerant Control of Nonlinear Time-Varying Delay Systems With Unmodeled Dynamics
Author(s): Shen Yin; Hongyan Yang; Huijun Gao; Jianbin Qiu; Okyay Kaynak
Page(s): 1902 - 1913
http://ieeexplore.ieee.org/document/7470270/

15. Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems
Author(s): Zhongsheng Hou; Shida Liu; Taotao Tian
Page(s): 1914 - 1928
http://ieeexplore.ieee.org/document/7471518/

16. Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems
Author(s): Yongliang Yang; Donald Wunsch; Yixin Yin
Page(s): 1929 - 1940
http://ieeexplore.ieee.org/document/7839211/

17. Event-Triggered Adaptive Dynamic Programming for Continuous-Time Systems With Control Constraints
Author(s): Lu Dong; Xiangnan Zhong; Changyin Sun; Haibo He
Page(s): 1941 - 1952
http://ieeexplore.ieee.org/document/7556990/

18. Dynamical Analysis of the Hindmarsh–Rose Neuron With Time Delays
Author(s): S. Lakshmanan; C. P. Lim; S. Nahavandi; M. Prakash; P. Balasubramaniam
Page(s): 1953 - 1958
http://ieeexplore.ieee.org/document/7478672/

19. Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions
Author(s): Sabato Marco Siniscalchi; Valerio Mario Salerno
Page(s): 1959 - 1965
http://ieeexplore.ieee.org/document/7452664/

20. Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities
Author(s): Koichi Kobayashi; Kunihiko Hiraishi
Page(s): 1966 - 1971
http://ieeexplore.ieee.org/document/7485899/

Tuesday, 3 October 2017

IEEE Transactions on Evolutionary Computation; Volume 21, Number 5, October 2017

The following articles appeared in the latest issue of the IEEE Transactions on Evolutionary Computation; Volume 21, Number 5, October 2017. They can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4235
or directly by clicking on the individual paper URL below.

Papers
1. A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains
Yong Wang ; Biao Xu ; Guangyong Sun ; Shengxiang Yang
Page(s): 665 - 680
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858752

2. A Surrogate Assisted Approach for Single-Objective Bilevel Optimization
Md Monjurul Islam ; Hemant Kumar Singh ; Tapabrata Ray
Page(s): 681 - 696
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858767

3. A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems
Wenyin Gong ; Yong Wang ; Zhihua Cai ; Shengxiang Yang
Page(s): 697 - 713
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879217

4.DMOEA- εC : Decomposition-Based Multiobjective Evolutionary Algorithm With the ε -Constraint Framework
Jie Chen ; Juan Li ; Bin Xin
Page(s): 714 - 730
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7858787

5. Opposition-Based Memetic Search for the Maximum Diversity Problem
Yangming Zhou ; Jin-Kao Hao ; Béatrice Duval
Page(s): 731 - 745
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7864317

6. Simplify Your Covariance Matrix Adaptation Evolution Strategy
Hans-Georg Beyer ; Bernhard Sendhoff
Page(s): 746 - 759
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7875115

7. Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems
Liang Feng ; Yew-Soon Ong ; Siwei Jiang ; Abhishek Gupta
Page(s): 760 - 772
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879282

8. An Adaptive Convergence-Trajectory Controlled Ant Colony Optimization Algorithm With Application to Water Distribution System Design Problems
Feifei Zheng ; Aaron C. Zecchin ; Jeffery P. Newman ; Holger R. Maier ; Graeme C. Dandy
Page(s): 773 - 791
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879213

9. Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression
Qi Chen ; Mengjie Zhang ; Bing Xue
Page(s): 792 - 806
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7879832

10. Improving Evolutionary Algorithms in a Continuous Domain by Monitoring the Population Midpoint
Jarosław Arabas ; Rafał Biedrzycki
Page(s): 807 - 812
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7862754

11. Bridging the Gap: Many-Objective Optimization and Informed Decision-Making
Kalyan Shankar Bhattacharjee ; Hemant Kumar Singh ; Michael Ryan ; Tapabrata Ray
Page(s): 813 - 820
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7886299

IEEE Transactions on Neural Networks and Learning Systems; Volume 28, Issue 10, October 2017.


The following articles appeared in the latest issue of IEEE Transactions on Neural Networks and Learning Systems: Volume 28, Issue 10, October 2017.

This issue published papers on recurrent neural network, restricted boltzmann machine, feature analysis, deep belief network, reinforcement learning, hopfield neural network, neuromorphic systems, fractional-order neural networks, nonnegative matrix factorization, among others. We welcome your submissions to IEEE TNNLS.

These articles can be retrieved on IEEE Xplore:
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5962385
or directly by clicking the individual paper URL below.

IEEE Transactions on Neural Networks and Learning Systems;
Volume 28, Issue 10, October 2017.


1. LSTM: A Search Space Odyssey
Author(s): Klaus Greff; Rupesh K. Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber
Page(s): 2222 - 2232
http://ieeexplore.ieee.org/document/7508408/

2. A New Discriminative Sparse Representation Method for Robust Face Recognition via l2 Regularization
Author(s): Yong Xu; Zuofeng Zhong; Jian Yang; Jane You; David Zhang
Page(s): 2233 - 2242
http://ieeexplore.ieee.org/document/7499803/

3. Kinematic Control of Redundant Manipulators Using Neural Networks
Author(s): Shuai Li; Yunong Zhang; Long Jin
Page(s): 2243 - 2254
http://ieeexplore.ieee.org/document/7499812/

4. Improving Neural-Network Classifiers Using Nearest Neighbor Partitioning
Author(s): Lin Wang; Bo Yang; Yuehui Chen; Xiaoqian Zhang; Jeff Orchard
Page(s): 2255 - 2267
http://ieeexplore.ieee.org/document/7502076/

5. Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes
Author(s): Zhizhong Han; Zhenbao Liu; Junwei Han; Chi-Man Vong; Shuhui Bu; Chun Lung Philip Chen
Page(s): 2268 - 2281
http://ieeexplore.ieee.org/document/7502161/

6. Resolution of Singularities Introduced by Hierarchical Structure in Deep Neural Networks
Author(s): Tohru Nitta
Page(s): 2282 - 2293
http://ieeexplore.ieee.org/document/7502092/

7. Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks
Author(s): Xiaojun Chang; Yi Yang
Page(s): 2294 - 2305
http://ieeexplore.ieee.org/document/7506338/

8. Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Author(s): Chong Zhang; Pin Lim; A. K. Qin; Kay Chen Tan
Page(s): 2306 - 2318
http://ieeexplore.ieee.org/document/7508982/

9. Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks
Author(s): Yi-Fei Pu; Zhang Yi; Ji-Liu Zhou
Page(s): 2319 - 2333
http://ieeexplore.ieee.org/document/7513418/

10. Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control
Author(s): Shiping Wen; Zhigang Zeng; Michael Z. Q. Chen; Tingwen Huang
Page(s): 2334 - 2343
http://ieeexplore.ieee.org/document/7513419/

11. A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization
Author(s): Jianchao Fan; Jun Wang
Page(s): 2344 - 2356
http://ieeexplore.ieee.org/document/7514996/

12. A Biologically Inspired Appearance Model for Robust Visual Tracking
Author(s): Shengping Zhang; Xiangyuan Lan; Hongxun Yao; Huiyu Zhou; Dacheng Tao; Xuelong Li
Page(s): 2357 - 2370
http://ieeexplore.ieee.org/document/7516592/

13. Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach
Author(s): Hao-Fan Yang; Tharam S. Dillon; Yi-Ping Phoebe Chen
Page(s): 2371 - 2381
http://ieeexplore.ieee.org/document/7517319/

14. Event-Based H∞ State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises
Author(s): Li Sheng; Zidong Wang; Lei Zou; Fuad E. Alsaadi
Page(s): 2382 - 2394
http://ieeexplore.ieee.org/document/7517222/

15. Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation
Author(s): Ruibin Feng; Chi-Sing Leung; Anthony G. Constantinides; Wen-Jun Zeng
Page(s): 2395 - 2407
http://ieeexplore.ieee.org/document/7524002/

16. Hierarchical Address Event Routing for Reconfigurable Large-Scale Neuromorphic Systems
Author(s): Jongkil Park; Theodore Yu; Siddharth Joshi; Christoph Maier; Gert Cauwenberghs
Page(s): 2408 - 2422
http://ieeexplore.ieee.org/document/7526444/

17. LMI Conditions for Global Stability of Fractional-Order Neural Networks
Author(s): Shuo Zhang; Yongguang Yu; Junzhi Yu
Page(s): 2423 - 2433
http://ieeexplore.ieee.org/document/7529054/

18. Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games
Author(s): Jinna Li; Hamidreza Modares; Tianyou Chai; Frank L. Lewis; Lihua Xie
Page(s): 2434 - 2445
http://ieeexplore.ieee.org/document/7902130/

19. Observer-Based Discrete-Time Nonnegative Edge Synchronization of Networked Systems
Author(s): Housheng Su; Han Wu; Xia Chen
Page(s): 2446 - 2455
http://ieeexplore.ieee.org/document/7999295/

20. Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method
Author(s): Zhanshan Wang; Sanbo Ding; Qihe Shan; Huaguang Zhang
Page(s): 2456 - 2463
http://ieeexplore.ieee.org/document/7516646/

Monday, 2 October 2017

University Curricula Subcommittee

The CIS University Curricula Subcommittee intends to build up a collection of links to good quality courses on "everything CI". Are you teaching a CI course, and either some or all material can be accessed by interested learners free-of-charge? If this is the case, you are cordially invited to submit your course to the newly created subreddit. Or do you know of a great course? If so, then tell the teaching staff about this opportunity to (1) get some exposure and (2) contribute to the education of the general public!
Over time, this subreddit will contain educational material that can be used by everybody, for example, to learn about some cool CI technology from scratch, or to keep up-to-date with new trends. The dynamic nature of subreddits allows us to easily share details about courses, as well as to ask and answer questions. The subreddit will be lightly moderated by the Subcommittee, lead by Markus Wagner.

IEEE CIS Newsletter, Issue 57, October 2017

Check out the latest issue of the IEEE CIS Newsletter here: http://cis.ieee.org/index.php?option=com_acymailing&ctrl=archive&task=view&mailid=117&key=0ab562fc3ae1f96a528b2b687924290a&subid=21-a84a8b1118d244eca47d4494e9ab775e&tmpl=component

5 Minutes with Prof. Jerry Mendel


5 Minutes with Prof. Jerry Mendel

IEEE CIS Student Activities Subcommittee invites you to get to know the pioneers and experts in the Computational Intelligence. This month "5 minutes with..." focuses on pioneer Prof. Jerry Mendel.
  1. What is your title, full name, and place of work?
    Professor of Electrical Engineering (I will be Emeritus as of January 5, 2018), Jerry Marc Mendel, University of Southern California
  2. What grade of member in CIS are you?
    Life Fellow
  3. How long have you been a member of CIS?
    For as long as the CIS has existed.
  4. One reason why you are a member of CIS:
    My research interests match its coverage perfectly.
  5. What was your service pathway in the Computational Intelligence Society?
    My recollection is that it began with organizing sessions at FUZZ-IEEE, becoming a member and then Chair of the Fuzzy Systems TC, and then being asked to run for the AdCOM. I did and was very privileged to have served on it for 9 years. Meeting and being able to interact with AdCom members was a truly wonderful experience for me. My most fun project was being Chair of the committee that created and ran the first CIS competition to produce a short video that explained fuzzy sets and systems. We had two winners.
  6. Give one interesting fact about yourself:
    I am an avid Bridge player having played now for more than 55 years. I also read a lot of Bridge books.