Call for Papers： Eighth International Conference on Swarm Intelligence (ICSI'2017)

Title: ICSI'2017：Call for Papers (http://www.ic-si.org)(Springer LNCS)(SCI/EI/ISTP/ISI/DBLP/Scopus)



ICSI'2017: Call for Papers and Proposals for Special Sessions, Tutorials, etc.



Name: Eighth International Conference on Swarm Intelligence (ICSI'2017)

URL: http://www.ic-si.org/

Dates: July 27- August 01, 2017

Location: Fukuoka, Japan

 



Important Dates:



Jan. 01, 2017: Deadline for Special Session Proposal.

Jan. 30, 2017: Deadline for Paper Submission.

 

Submission Details: Prospective authors are invited to contribute the latest original and high-quality papers to ICSI'2017 through online submission page at 

https://www.easychair.org/conferences/?conf=icsi2017. 



Brief Desciption:

The Eighth International Conference on Swarm Intelligence (ICSI’2017) serves as an important forum for researchers and practitioners to exchange latest advantages in theories, technologies, and applications of swarm intelligence and related areas. The ICSI’2017 is the eighth annual event in this high-reputation ICSI series after Bali event (ICSI’2016), Beijing joint event (ICSI-CCI’2015), Hefei event (ICSI’ 2014), Harbin event (ICSI’ 2013), Shenzhen event (ICSI’ 2012), Chongqing event (ICSI’ 2011) and Beijing event (ICSI’2010). Papers presented at the ICSI’2017 will be published in Springer’s Lecture Notes in Computer Science (indexed by EI Compendex, ISTP, DBLP, SCOPUS, Web of Science ISI Thomson, etc.), some high-quality papers will be selected for SCI-indexed Transaction and Journal (including IEEE/ACM Trans on CBB, NC, CC, IJSIR, IJCIPR, etc.). 



For the topics and other materials, please visit conference website: http://www.ic-si.org, for details.



Sponsored by Kyushu University, Peking University. Technically Co-sponsored by IEEE Computational Intelligence Society, Japan Chapter of IEEE Systems, Man and Cybernetics Society, World Federation of Soft Computing, International Neural Network Society, Springer-Verlag, etc.(more to be added).



The ICSI’2017 will be held in the center of the Fukuoka City. Historical city, Fukuoka, is the 5th largest city in Japan with 1.6 million populations and locates at the northern end of the Kyushu Island and is the economical and cultural center of whole Kyushu Island. Because of its closeness to the Asian mainland, Fukuoka has been an important harbor city for many centuries. Today's Fukuoka is the product of the fusion of two cities in the year 1889, when the port city of Hakata and the former castle town of Fukuoka were united into one city called Fukuoka. 



We are sure that you will have a wonderful experience of visiting Fukuoka of Japan during the ICSI 2017.



We look forward to welcoming you in Japan in 2017!



-------------------------------

General Co-chairs:

Prof. Ying Tan (China)

Prof. Hideyuki TAKAGI (Japan)



Program Co-chair:

Prof. Yuhui Shi (USA)

-------------------------------



ICSI'2017 Secretariat

Email: icsi2017@ic-si.org

WWW: http://www.ic-si.org

Call for Papers: The Second International Conference of Data Mining and Big Data (DMBD'2017)

(http://dmbd2017.ic-si.org)(Jan. 30, 2017)

DMBD'2017: Call for Papers and Proposals of Special Sessions



Name: The Second International Conference of Data Mining and Big Data (DMBD'2017)

Theme: SERVING OUR LIFE WITH Data Science

URL: http://dmbd2017.ic-si.org/

Dates: July 27- August 01, 2017

Location: Fukuoka, Japan

 

Important Dates:



Jan. 01, 2017: Deadline for Special Session Proposals.

Jan. 30, 2017: Deadline for Paper Submissions.



 

Submission Details: Prospective authors are invited to contribute their original and high-quality papers to DMBD'2017 through the online submission page at 

https://www.easychair.org/conferences/?conf=dmbd2017.



The Second International Conference on Data Mining and Big Data (DMBD¡¯2017) serves as an

international forum for researchers and practitioners to exchange latest advantages in theories,

technologies, and applications of data mining and big data. The DMBD¡¯2017 is the second event

after the successful first event (DMBD¡¯2016) at Bali Island of Indonesia from June 25-29, 2016,

which attracted more than one hundred of delegates from all over the world to attend and share

their latest achievements, innovative ideas, marvelous designs and excel implementations. 



Prospective authors are invited to contribute high-quality papers (6-12 pages) to DMBD¡¯2017 through Online Submission System (https://www.easychair.org/conferences/?conf=dmbd2017). Papers presented at DMBD¡¯2017 will be published in Springer¡¯s Lecture Notes in Computer Science (indexed by EI, ISTP, DBLP, SCOPUS, Web of Knowledge ISI Thomson, etc.), some high-quality papers will be selected for SCI-indexed International Journals.



For details, please visit conference official website: http://dmbd2017.ic-si.org.



Sponsored by Kyushu University, Peking University. Technically Co-sponsored by IEEE Computational Intelligence Society, Japan Chapter of IEEE Systems, Man and Cybernetics Society, 

World Federation of Soft Computing, International Neural Network Society, Springer-Verlag, etc.(more to be added).



The DMBD¡¯2017 will be held in the center of the Fukuoka City. Historical city, Fukuoka, is the 5th

largest city in Japan with 1.6 million populations and locates at the northern end of the Kyushu

Island and is the economical and cultural center of whole Kyushu Island. Because of its closeness to

the Asian mainland, Fukuoka has been an important harbor city for many centuries. Today's

Fukuoka is the product of the fusion of two cities in the year 1889, when the port city of Hakata

and the former castle town of Fukuoka were united into one city called Fukuoka.  



We are sure that you will have a wonderful experience of visiting Fukuoka of Japan during the DMBD'2017.



-------------------------------

General Co-chairs:

Prof. Ying Tan (China)

Prof. Hideyuki TAKAGI (Japan)



Program Co-chair:

Prof. Yuhui Shi (USA)

-------------------------------



DMBD'2017 Secretariat

Email: dmbd2017@ic-si.org

WWW: http://dmbd2017.ic-si.org

Call for Papers: The 14th International Symposium on Neural Networks (ISNN 2017)

The 14th International Symposium on Neural Networks (ISNN 2017), Sapporo, Hokkaido, Japan, June 21-23, 2017

https://conference.cs.cityu.edu.hk/isnn/

The 14th International Symposium on Neural Networks (ISNN 2017) will be held in Sapporo, Hokkaido, Japan during June 21-23, 2017, following the successes of previous events. Located in northern island of Hokkaido, Sapporo is the fourth largest Japanese city and a popular summer/winter tourist venue. ISNN 2017 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and                 special sessions focusing on popular topics.

Authors are invited to submit full-length papers by the submission deadline through the online submission system. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. Papers presented at ISNN 2017 will be published in the EI-indexed proceedings in the Springer LNCS series and selected good papers will be included in special issues of several SCI journals.

Important Dates

- Paper submission: January 1, 2017

- Notification of acceptance: February 1, 2017

- Camera-ready copy and author registration: March 1, 2017

- Conference: June 21-23, 2017

IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Issue 12, December 2016.

1. Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
Author(s): Jenni Raitoharju; Serkan Kiranyaz; Moncef Gabbouj
Pages: 2458 - 2471

2. Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution
Author(s): Cheng Deng; Jie Xu; Kaibing Zhang; Dacheng Tao; Xinbo Gao; Xuelong Li
Pages: 2472 - 2485

3. Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints
Author(s): Ehsan Hosseini-Asl; Jacek M. Zurada; Olfa Nasraoui
Pages: 2486 - 2498

4. A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data
Author(s): Xi Peng; Huajin Tang; Lei Zhang; Zhang Yi; Shijie Xiao
Pages: 2499 - 2512

5. A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming
Author(s): Xiangnan Zhong; Zhen Ni; Haibo He
Pages: 2513 - 2525

6. Sequential Compact Code Learning for Unsupervised Image Hashing
Author(s): Li Liu; Ling Shao
Pages: 2526 - 2536

7. Organizing Books and Authors by Multilayer SOM
Author(s): Haijun Zhang; Tommy W. S. Chow; Q. M. Jonathan Wu
Pages: 2537 - 2550

8. Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition
Author(s): Yuanyuan Liu; Fanhua Shang; Wei Fan; James Cheng; Hong Cheng
Pages: 2551 - 2563

9. Dynamic Learning From Neural Control for Strict-Feedback Systems With Guaranteed Predefined Performance
Author(s): Min Wang; Cong Wang; Peng Shi; Xiaoping Liu
Pages: 2564 - 2576

10. Online Solution of Two-Player Zero-Sum Games for Continuous-Time Nonlinear Systems With Completely Unknown Dynamics
Author(s): Yue Fu; Tianyou Chai
Pages: 2577 - 2587

11. Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality
Author(s): Sanqing Hu; Xinxin Jia; Jianhai Zhang; Wanzeng Kong; Yu Cao
Pages: 2588 - 2601

12. Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study
Author(s): Jonathan Ortigosa-Hernández;  I?aki Inza;  Jose A. Lozano
Pages: 2602 - 2614

13. Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises
Author(s): Long Jin; Yunong Zhang; Shuai Li
Pages: 2615 - 2627

14. Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization
Author(s): Xueyi Zhao; Xi Li; Zhongfei Zhang; Chunhua Shen; Yueting Zhuang; Lixin Gao; Xuelong Li
Pages: 2628 - 2642

15. Information Theoretic Subspace Clustering
Author(s): Ran He; Liang Wang; Zhenan Sun; Yingya Zhang; Bo Li
Pages: 2643 - 2655

16. Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering
Author(s): Lei Meng; Ah-Hwee Tan; Donald C. Wunsch
Pages: 2656 - 2669

17. K-MEAP: Multiple Exemplars Affinity Propagation With Specified K Clusters
Author(s): Yangtao Wang; Lihui Chen
Pages: 2670 - 2682

18. Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights
Author(s): Cheng Lian; Zhigang Zeng; Wei Yao; Huiming Tang; Chun Lung Philip Chen
Pages: 2683 - 2695

19. Impulsive Synchronization of Reaction–Diffusion Neural Networks With Mixed Delays and Its Application to Image Encryption
Author(s): Wu-Hua Chen; Shixian Luo; Wei Xing Zheng
Pages: 2696 - 2710

20. MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multicategory Classification
Author(s): Lingfeng Wang; Xu-Yao Zhang; Chunhong Pan
Pages: 2711 - 2717

21. Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches
Author(s): Shida Liu; Zhongsheng Hou; Chenkun Yin
Pages: 2718 - 2729

22. Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms?
Author(s): Huisheng Zhang; Danilo P. Mandic
Pages: 2730 - 2735

23. Enhanced Logical Stochastic Resonance in Synthetic Genetic Networks
Author(s): Nan Wang; Aiguo Song
Pages: 2736 - 2739

24. A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification
Author(s): Yali Li; Shengjin Wang; Qi Tian; Xiaoqing Ding
Pages: 2740 - 2747

25. Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems
Author(s): Bendix Schneider; Joni Dambre; Peter Bienstman
Pages: 2748 - 2753

26. Synchronization Analysis and Design of Coupled Boolean Networks Based on Periodic Switching Sequences
Author(s): Huaguang Zhang; Hui Tian; Zhanshan Wang; Yanfang Hou
Pages: 2754 - 2759

27. Power Quality Analysis Using a Hybrid Model of the Fuzzy Min–Max Neural Network and Clustering Tree
Author(s): Manjeevan Seera; Chee Peng Lim; Chu Kiong Loo; Harapajan Singh
Pages: 2760 - 2767

28. Max-Margin-Based Discriminative Feature Learning
Author(s): Changsheng Li; Qingshan Liu; Weishan Dong; Fan Wei; Xin Zhang; Lin Yang
Pages: 2768 - 2775