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

Call for Papers: IEEE DSAA'17

CALL For PAPERS

IEEE DSAA'2017: 2017 International Conference on
Data Science and Advanced Analytics

Tokyo, Japan
October 19-21, 2017

http://www.dslab.it.aoyama.ac.jp/dsaa2017/

HIGHLIGHTS OF DSAA

• A very competitive acceptance rate (about 10%) for regular papers
• Jointly supported by IEEE, ACM and American Statistics Association
• Strong inter-disciplinary and cross-domain culture
• Strong engagement of analytics, statistics and industry/government
• Double blind, and 10 pages in IEEE 2-column format

INTRODUCTION

Data-driven scientific discovery is regarded as the fourth science paradigm. Data science is a core driver of the next-generation science,  technologies and applications, and is driving new researches, innovation,  profession, economy and education  across disciplines and across domains. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. Among the complex aspects to be addressed we mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation. Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, society, Government or on the Web.

DSAA takes a strong interdisciplinary approach, features by its strong engagement with statistics and business, in addition to core areas including analytics, learning, computing and informatics. DSAA fosters its unique Trends and Controversies session, Invited Industry Talks session, Panel discussion, and four keynote speeches from statistics, business, and data science. DSAA main tracks maintain a very competitive acceptance rate (about 10%) for regular papers.

Following the preceeding three editions DSAA'2016 (Montreal),  DSAA'2015 (Paris), and DSAA'2014 (Shanghai), the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2017) aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications.

DSAA is also technically sponsored by ACM through SIGKDD and by the American Statistics Association.

DSAA solicits then both theoretical and practical works on data science and advanced analytics. DSAA'2017 will consist of two main tracks: Research and Applications, and a series of Special sessions.  The Research Track is aimed at collecting original (unpublished nor under consideration at any other venue) and significant contributions related to foundations of Data Science and Analytics. The Applications Track is aimed at collecting original papers describing better and reproduciable practices with substantial contributions to Data Science and Analytics in real life scenarios. DSAA special sessions substantially upgrade traditional workshops to encourage emerging topics in data science while maintain regirous selection criteria. Call for proposals to organize special sessions are highly encouraged.

IMPORTANT DATES:

Paper Submission deadline:           May 25, 2017
Notification of acceptance:            July 25, 2017
Final Camera-ready papers due:   August 15, 2017
Early Registration deadline:           August 31, 2017

PUBLICATIONS:

All accepted papers, including main tracks and special sessions, will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and invited to the special issues of International Journal of Data Science and Analytics (JDSA, Springer).

TOPICS OF INTEREST -- RESEARCH TRACK

General areas of interest to DSAA'2017 include but are not limited to:

1. Foundations

• Mathematical, probabilistic and statistical models and theories
• Machine learning theories, models and systems
• Knowledge discovery theories, models and systems
• Manifold and metric learning
• Deep learning and deep analytics
• Scalable analysis and learning
• Non-IID learning
• Heterogeneous data/information integration
• Data pre-processing, sampling and reduction
• Dimensionality reduction
• Feature selection, transformation and construction
• Large scale optimization
• High performance computing for data analytics
• Architecture, management and process for data science

2. Data analytics, machine learning and knowledge discovery

• Learning for streaming data
• Learning for structured and relational data
• Latent semantics and insight learning
• Mining multi-source and mixed-source information
• Mixed-type and structure data analytics
• Cross-media data analytics
• Big data visualization, modeling and analytics
• Multimedia/stream/text/visual analytics
• Relation, coupling, link and graph mining
• Personalization analytics and learning
• Web/online/social/network mining and learning
• Structure/group/community/network mining
• Cloud computing and service data analysis

3. Management, storage, retrieval and search

• Cloud architectures and cloud computing
• Data warehouses and large-scale databases
• Memory, disk and cloud-based storage and analytics
• Distributed computing and parallel processing
• High performance computing and processing
• Information and knowledge retrieval, and semantic search
• Web/social/databases query and search
• Personalized search and recommendation
• Human-machine interaction and interfaces
• Crowdsourcing and collective intelligence

4. Social issues

• Data science meets social science
• Security, trust and risk in big data
• Data integrity, matching and sharing
• Privacy and protection standards and policies
• Privacy preserving big data access/analytics
• Social impact and social good

TOPICS OF INTEREST - APPLICATIONS TRACK

Papers in this track should motivate, describe and analyze the reproduciable use of Data science tools and/or techniques in practical applications as well as illustrate their actual impact on business and/or society.

We seek contributions that address topics such as (but not limited to) the following:

• Best practices and lessons learned from both success and failure
• Data-intensive organizations, business and economy
• Quality assessment and interestingness metrics
• Complexity, efficiency and scalability
• Big data representation and visualization
• Business intelligence, data-lakes, big-data technologies
• Data science education and training practices and lessons
• Large scale application case studies and domain-specific applications, such as:
• Online/social/living/environment data analysis
• Mobile analytics for hand-held devices
• Anomaly/fraud/exception/change/drift/event/crisis analysis
• Large-scale recommender and search systems
• Data analytics applications in cognitive systems, planning and decision support
• End-user analytics, data visualization, human-in-the-loop, prescriptive analytics
• Business/government analytics, such as for financial services, manufacturing, retail, utilities, telecom, national security, cyber-security, e-governance, etc.

PAPER SUBMISSION

Submissions to the main conference, including Research Track, Applications Track, and Special Sessions should be made through the IEEE DSAA'2017 Submission Web site.

The paper length allowed is a maximum of ten (10) pages, in the IEEE 2-column format (see the IEEE Proceedings Author Guidelines: http://www.ieee.org/conferences_events/conferences/publishing/templates.html).

To help ensure correct formatting, please use the style files for U.S. letter size found at the link above as templates for your submission, which include both LaTeX and Word.

All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity.

OTHER CALLS

Call for tutorials: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cftutorials/
Call for special sessions: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfspecsessions/
Call for sponsorship: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfsponsors/

ORGANIZING COMMITTEE

General Chairs:

• Hiroshi Motoda,           Osaka University, Japan
• Fosca Giannotti,          Information Science and Technology Institute of the National Research Council at Pisa, Italy
• Tomoyuki Higuchi,         Institute of Statistical Mathematics, Japan

Program Chairs - Research Track

• Takashi Washio,           Osaka University, Japan
• Joao Gama,                University of Porto, Portugal

Program Chairs - Application Track

• Ying Li,                  DataSpark Pte. Ltd., Singapore
• Rajesh Parekh,            Facebook, also with KDD2016 and The Hive, USA

Special Session Chairs

• Huan Liu,                 Arizona State University, USA
• Albert Bifet,             Telecom ParisTech, France

Trends & Controversies Chairs

• Philip S. Yu,             University of Illinois at Chicago, USA
• Pau-Choo (Julia) Chung,   National Cheng Kung University, Taiwan

Award Chair

• Bamshad Mobasher,         DePaul University, USA

NGDS (Next Generation Data Scientist) Award Chairs

• Kenji Yamanishi,          University of Tokyo, Japan
• Xin Wang,                 University of Calgary, Canada

Tutorial Chairs

• Zhi-Hua Zhou,             Nanjing University, China
• Vincent Tseng,            National Chiao Tung University, Taiwan

Panel Chairs

• Geoff Webb,               Monash University, Australia
• Bart Goethals,            University of Antwerp, Belgium

Invited Industry Talk Chairs

• Yutaka Matsuo,            University of Tokyo, Japan
• Hang Li,                  Huawei Technologies, Hong Kong

Publicity Chairs

• Tu Bao Ho,                Japan Advanced Institute of Science & Technology, Japan
• Diane J. Cook,            Washington State University
• Marzena Kryszkiewicz,     Warsaw University of Technology, Poland

Local Organizing Chairs

• Satoshi Kurihara,         University of Electro-Communications, Japan
• Hiromitsu Hattori,        Ritsumeikan University, Japan

Publication Chair

• Toshihiro Kamishima,      National Institute of Advanced Industrial Science and Technology, Japan  

Web Chair

• Kozo Ohara,               Aoyama Gakuin University, Japan

Sponsorship Chairs

• Yoji Kiyota,              NEXT Co., Ltd, Japan
• Kiyoshi Izumi,            University of Tokyo, Japan
• Tadashi Yanagihara,       KDDI Corp., KDDI R\&D Laboratory, Japan
• Longbing Cao,             University of Technology Sydney, Australia  
• Byeong Kang               University of Tasmania, Australia

CONTACT INFORMATION

• Hiroshi Motoda            motoda@ar.sanken.osaka-u.ac.jp
• Satoshi Kurihara          skurihara@uec.ac.jp

IJCNN 2017 Deadline Extended

IJCNN 2017 - International Joint Conference on Neural Networks
May 14-19, 2017, Anchorage, Alaska
http://www.ijcnn.org/
You can also follow IJCNN2017 on Facebook and Twitter.

Important Announcement

The paper submission deadline has been extended by two weeks, to 01Dec2016!

Important Dates

• Paper Submission                         December 01, 2016
• Paper Decision Notification         January 20, 2017
• Camera-Ready Submission          February 20, 2017

CALL FOR PAPERS       http://www.ijcnn.org/call-for-papers

The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14–19, 2017. The conference is organized jointly by the International Neural Network Society and the IEEE Computational Intelligence Society, and is the premiere international meeting for researchers and other professionals in neural networks and related areas.  It will feature invited plenary talks by world-renowned speakers in the areas of neural network theory and applications, computational neuroscience, robotics, and distributed intelligence.  In addition to regular technical sessions with oral and poster presentations, the conference program will include special sessions, competitions, tutorials and workshops on topics of current interest

For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and Twitter (@ijcnn2017).

Paper Submission is Open

http://www.ijcnn.org/call-for-papers

• Regular paper can have up to 8 pages in double-column IEEE Conference format
• All papers are to be prepared using IEEE-compliant Latex or Word templates on paper of U.S. letter size.
• All submitted papers will be checked for plagiarism through the IEEE CrossCheck system. 
• Papers with significant overlap with the authors own papers or other papers will be rejected without review.

Topics and Areas of Interest

The range of topics covered include, but is not limited to, the following.

(See http://ijcnn.org for a more detailed list of topics).

• Deep learning
• Neural network theory & models 
• Computational neuroscience 
• Cognitive models 
• Brain-machine interfaces 
• Embodied robotics 
• Evolutionary neural systems 
• Neurodynamics 
• Neuroinformatics 
• Neuroengineering 
• Hardware, memristors 
• Neural network applications 
• Machine perception (vision, speech, ...) 
• Social media 
• Big data
• Pattern recognition
• Machine learning
• Collective intelligence
• Hybrid systems
• Self-aware systems
• Data mining
• Sensor networks
• Agent-based systems
• Computational biology
• Bioinformatics
• Artificial life
• Connectomics
• Philosophical issues

Organizing Committee

The full organizing committee can be found at: http://www.ijcnn.org/organizing-committee

General Chair
Yoonsuck Choe, Texas A and M University, USA

Program Chair
Christina Jayne, Robert Gordon University, UK

Technical Co-Chairs
Irwin King, The Chinese University of Hong Kong, China
Barbara Hammer, University of Bielefeld, Germany

Sponsoring Organizations

• INNS - International Neural Network Society
• IEEE - Computational Intelligence Society
• BSCS - Budapest Semester in Cognitive Science

IEEE Transactions on Fuzzy Systems, vol. 24, issue 5, 2016

1. On Pythagorean and Complex Fuzzy Set Operations
Author(s): Scott Dick; Ronald R. Yager; Omolbanin Yazdanbakhsh
Pages: 1009- 1021

2. Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices
Author(s): Lorenzo Livi; Hooman Tahayori; Antonello Rizzi; Alireza Sadeghian; Witold Pedrycz
Pages: 1022- 1034

3. Power Average of Trapezoidal Intuitionistic Fuzzy Numbers Using Strict t-Norms and t-Conorms
Author(s): Shu-Ping Wan; Zhi-Hong Yi
Pages: 1035- 1047

4. Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method
Author(s): Shiping Wen; Tingwen Huang; Xinghuo Yu; Michael Z. Q. Chen; Zhigang Zeng
Pages: 1048- 1057

5. Fault Detection and Isolation for Affine Fuzzy Systems With Sensor Faults
Author(s): Huimin Wang; Guang-Hong Yang; Dan Ye
Pages: 1058- 1071

6. Knowledge Measure for Atanassov's Intuitionistic Fuzzy Sets
Author(s): Kaihong Guo
Pages: 1072- 1078

7. Takagi–Sugeno–Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals
Author(s): Changjian Yang; Zhaohong Deng; Kup-Sze Choi; Shitong Wang
Pages: 1079- 1094

8. A Survey of Adaptive Fuzzy Controllers: Nonlinearities and Classifications
Author(s): Meng Joo Er; Sayantan Mandal
Pages: 1095- 1107

9. Optimal Design of Constraint-Following Control for Fuzzy Mechanical Systems
Author(s): Ruiying Zhao; Ye-Hwa Chen; Shengjie Jiao
Pages: 1108- 1120

10. Multiscale Opening of Conjoined Fuzzy Objects: Theory and Applications
Author(s): Punam K. Saha; Subhadip Basu; Eric A. Hoffman
Pages: 1121- 1133

11. Decentralized State Feedback Control of Uncertain Affine Fuzzy Large-Scale Systems With Unknown Interconnections
Author(s): Huimin Wang; Guang-Hong Yang
Pages: 1134- 1146

12. Fuzzy Adaptive Control With State Observer for a Class of Nonlinear Discrete-Time Systems With Input Constraint
Author(s): Yan-Jun Liu; Shaocheng Tong; Dong-Juan Li; Ying Gao
Pages: 1147- 1158

13. Fuzzy-Based Goal Representation Adaptive Dynamic Programming
Author(s): Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu
Pages: 1159- 1175

14. Nonparametric Statistical Active Contour Based on Inclusion Degree of Fuzzy Sets
Author(s): Maoguo Gong; Hao Li; Xiang Zhang; Qiunan Zhao; Bin Wang
Pages: 1176- 1192

15. The Role of Crisp Elements in Fuzzy Ontologies: The Case of Fuzzy OWL 2 EL
Author(s): Fernando Bobillo
Pages: 1193- 1209

16. Transfer Prototype-Based Fuzzy Clustering
Author(s): Zhaohong Deng; Yizhang Jiang; Fu-Lai Chung; Hisao Ishibuchi; Kup-Sze Choi; Shitong Wang
Pages: 1210- 1232

17. Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables
Author(s): Hongyi Li; Chengwei Wu; Shen Yin; Hak-Keung Lam
Pages: 1233- 1245

18. Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application
Author(s): Pengzhi Li; Peiyue Li; Yongxin Sui
Pages: 1246- 1254

IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Issue 11, November 2016

1. Decomposition Techniques for Multilayer Perceptron Training
Author: Luigi Grippo; Andrea Manno; Marco Sciandrone
Page(s): 2146 - 2159

2. Learning Robust and Discriminative Subspace With Low-Rank Constraints
Authors: Sheng Li; Yun Fu
Page(s): 2160 - 2173

3. Decentralized Dimensionality Reduction for Distributed Tensor Data Across Sensor Networks
Authors: Junli Liang; Guoyang Yu; Badong Chen; Minghua Zhao
Page(s): 2174 - 2186

4. Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning
Authors: Liu Yang; Liping Jing; Jian Yu; Michael K. Ng
Page(s): 2187 - 2200

5. Multiple Representations-Based Face Sketch–Photo Synthesis
Authors: Chunlei Peng; Xinbo Gao; Nannan Wang; Dacheng Tao; Xuelong Li; Jie Li
Page(s): 2201 - 2215

6. RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners
Authors: Qiguang Miao; Ying Cao; Ge Xia; Maoguo Gong; Jiachen Liu; Jianfeng Song
Page(s): 2216 - 2228

7. Estimating Sensorimotor Mapping From Stimuli to Behaviors to Infer C. elegans Movements by Neural Transmission Ability Through Connectome Databases
Authors: Cheng-Wei Li; Chung-Chuan Lo; Bor-Sen Chen
Page(s): 2229 - 2241

8. A Comparison of Algorithms for Learning Hidden Variables in Bayesian Factor Graphs in Reduced Normal Form
Authors: Francesco A. N. Palmieri
Page(s): 2242 - 2255

9. Sparse Bayesian Classification of EEG for Brain–Computer Interface
Authors: Yu Zhang; Guoxu Zhou; Jing Jin; Qibin Zhao; Xingyu Wang; Andrzej Cichocki
Page(s): 2256 - 2267

10. Robust Kernel Low-Rank Representation
Authors: Shijie Xiao; Mingkui Tan; Dong Xu; Zhao Yang Dong
Page(s): 2268 - 2281

11. Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions
Authors: Yohei Nakada
Page(s): 2282 - 2300

12. Optimizing Single-Trial EEG Classification by Stationary Matrix Logistic Regression in Brain–Computer Interface
Authors: Hong Zeng; Aiguo Song
Page(s): 2301 - 2313

13. Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability
Authors: Savaş Şahin; Cüneyt Güzeliş
Page(s): 2314 - 2326

14. Feature Extraction Using Memristor Networks
Authors: Patrick M. Sheridan; Chao Du; Wei D. Lu
Page(s): 2327 - 2336

15. Exponential Stability and Stabilization of Delayed Memristive Neural Networks Based on Quadratic Convex Combination Method
Authors: Zhanshan Wang; Sanbo Ding; Zhanjun Huang; Huaguang Zhang
Page(s): 2337 - 2350

16. Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming
Authors: Yi Cao; Yuhua Li; Sonya Coleman; Ammar Belatreche; Thomas Martin McGinnity
Page(s): 2351 - 2363

17. Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments
Authors: Xiang Cao; Daqi Zhu; Simon X. Yang
Page(s): 2364 - 2374

18. A Consistent Model for Lazzaro Winner-Take-All Circuit With Invariant Subthreshold Behavior
Authors: Ruxandra L. Costea; Corneliu A. Marinov
Page(s): 2375 - 2385

19. Asymptotically Stable Adaptive–Optimal Control Algorithm With Saturating Actuators and Relaxed Persistence of Excitation
Authors: Kyriakos G. Vamvoudakis; Marcio Fantini Miranda; João P. Hespanha
Page(s): 2386 - 2398

20. Identification of Nonlinear Spatiotemporal Dynamical Systems With Nonuniform Observations Using Reproducing-Kernel-Based Integral Least Square Regulation
Authors: Hanwen Ning; Guangyan Qing; Xingjian Jing
Page(s): 2399 - 2412

21. Echo State Networks With Orthogonal Pigeon-Inspired Optimization for Image Restoration
Authors: Haibin Duan; Xiaohua Wang
Page(s): 2413 - 2425

22. Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction
Authors: Guoxu Zhou; Andrzej Cichocki; Yu Zhang; Danilo P. Mandic
Page(s): 2426 - 2439

23. Synchronization Control of Neural Networks With State-Dependent Coefficient Matrices
Authors: Junfeng Zhang; Xudong Zhao; Jun Huang
Page(s): 2440 - 2447

24. Efficient χ2 Kernel Linearization via Random Feature Maps
Authors: Xiao-Tong Yuan; Zhenzhen Wang; Jiankang Deng; Qingshan Liu
Page(s): 2448 - 2453

Call for Papers: the 2017 IEEE International conference on Fuzzy Systems

(www.fuzzieee2017.org)

The 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), a top-leading event in the area of theory and application of fuzzy logic, will be held in Naples, Italy. Naples is the third largest municipality in Italy. The city is located in the south of Italy. It is nestled between the islands of Capri, lschia and Procida on one side, and the coast of Amalfi and Sorrento on the other, forming a unique natural heritage in the world. The history of Naples is characterised by a plethora of different dominations that have left inestimable pieces of art and signs of different cultures making the whole urban area a UNESCO World Heritage Site.

FUZZ-IEEE 2017 will be hosted at Royal-Continental Hotel, a fantastic and welcoming conference venue situated at one of the most beautiful places on the planet, Naples's waterfront.

FUZZ-IEEE 2017 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy logic and its hybridisations with other artificial and computational intelligence techniques. In particular, FUZZ-IEEE 2017 topics include, but are not limited to:

•        Mathematical and theoretical foundations of fuzzy sets, fuzzy measures and fuzzy integrals

•        Fuzzy control, robotics, sensors, fuzzy hardware and architectures

•        Fuzzy data analysis, fuzzy clustering, classification and pattern recognition

•        Type-2 fuzzy sets, computing with words and granular computing

•        Fuzzy systems with big data and cloud computing, fuzzy analytics and visualization

•        Fuzzy systems design and optimization

•        Fuzzy decision analysis, multi-criteria decision making and decision support

•        Fuzzy logic and its applications in Industrial Engineering

•        Fuzzy modelling, identification and fault detection

•        Fuzzy information processing, information extraction and fusion

•        Fuzzy web engineering, information retrieval, text mining and social network analysis

•        Knowledge discovery, learning, reasoning and knowledge representation

•        Fuzzy image, speech and signal processing, vision and multimedia data

•        Fuzzy databases and information retrieval

•        Rough sets, imprecise probabilities, possibilities approaches

•        Industrial, financial, and medical applications

•        Fuzzy logic application in civil engineering, geographical information systems

•        Fuzzy sets and soft computing in social sciences

•        Linguistic summarization, natural language processing

•        Computational Intelligence in security systems

•        Hardware/Software for fuzzy systems

•        Fuzzy Markup Language and standard technologies for fuzzy systems

•        Adaptive, hierarchical and hybrid (neuro- and evolutionary-) fuzzy systems

The conference will include regular oral and poster presentations, tutorials, panels, special sessions and keynote presentations. Full details of the submission process for papers, tutorials and panels will be made available on the conference website.

Important dates

Deadline for special session, tutorial and panel session proposals, October 25,2016

Notification of acceptance tutorials, special sessions and panels, November 25, 2016

Deadline for paper submission, January 25, 2017

Notification of acceptance for papers, March 10, 2017

Deadline for camera-ready paper submission, April 8, 2017

Deadline for early registration, April 10, 2017

Conference, July 9-12, 2017           

General Chairs

Giovanni Acampora, Italy

Bruno Siciliano, Italy

IEEE Workshop on Advanced NeuroTechnologies for BRAIN Initiatives

IEEE Workshop on Advanced NeuroTechnologies for BRAIN Initiatives
November 10-11, 2016
Sheraton San Diego Hotel and Marina, California

The IEEE Workshop on Advanced NeuroTechnologies for BRAIN Initiatives, sponsored by the IEEE Brain Initiative, will be held November 10-11, 2016, at the Sheraton San Diego Hotel and Marina, California. We strongly encourage members of both the Neuroscience and Engineering Communities to attend this highly multidisciplinary workshop.

The workshop will highlight the development of novel electronic and photonic devices and techniques for experimental probing, neural simulation studies, and the design and development of human-machine interface systems, artificial vision sensors, and neural prosthesis have significantly restored and enhanced the impaired sensory functions and motor systems. Furthermore, we highlight these recent technological advances by focusing on advanced technologies that monitor and control brain activities to treat neurological diseases, including Alzheimer's, Epilepsy, Depression, etc., from the molecular to systemic levels.

Invited talks will be presented by internationally well respected researchers. This workshop will provide a unique interactive platform to exchange of ideas in the areas of BRAIN initiatives with leading researchers and medical and industry professionals.

Tentative Program at a Glance

November 10, 2016
8:15 AM – 6:00 PM PST
Opening and Welcome Remarks
Andrew Laine, IEEE EMBS President
Paul Sajda, Chair, IEEE Brain Initiative
Metin Akay, Chair, Advanced Technologies for Brain Initiatives Workshop

Symposium #1: Brain Initiatives
Phillip Alvelda, DARPA
Ted Berger, University of Southern California
Carol Lucas, NSF
Edmund (Ned) Talley, NIH
Kamil Ugurbil, University of Minnesota

Symposium #2: Neural Implants and Prosthetics: Translational Neural Engineering
Gert Cauwenberghs, University of California, San Diego
Michel M. Maharbiz, University of California, Berkely
Jacob Robinson, Rice University
Mario Romero-Ortega, University of Texas,Dallas

Symposium #3: Brain Mapping and Connectivity
Dominique Durand, Case Western Reserve University
Warren Grill, Duke University
Paul Sajda, Columbia University
John White, Boston University

November 11, 2016
8:30 AM – 12:00 PM PST
Symposium #4: Advances in Brain-Computer Interface
Jose Carmena,University of California Berkeley
Dario Farina,Goettingen University
Karim Oweiss,University of Florida
Maryam Shanechi,University of Southern California

Symposium #5: Neurotechnology for Rehabilitation
Robert Kirsch, Case Western Reserve University
Lee Miller,Northwestern University and RIC
Jose Pons,Neural Rehabilitation Group, Cajal Institute
Eric Perreault, Northwestern University and RIC

Call for Papers CEC 2017

We are pleased to announce that the 2017 IEEE Conference on Evolutionary Computation (www.cec2017.org)  will be held in San Sebastian, Spain, in June 5-8, 2017.

IEEE CEC  is a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote lectures, regular and special sessions, tutorials, and competitions as well as poster presentations. In addition, participants will be treated to a series of social functions, receptions, and networking to establish new connections and foster everlasting friendship among fellow counterparts.

Donostia/San Sebastian is a coastal medium-size city located in northern Spain, 20km from the border with France. It stands as an amphitheatre over-looking the sea. It is known the world over for its spectacular bay and is referred to as the Pearl of the Cantabrian Sea. It is also internationally renowned for being a culinary haven where visitors will find more Michelin stars per square meter than in any other city in the world. The conference will take place at the Kursaal Convention Center and Auditorium. Kursaal is located in the city center, overlooking the seafront. This avant-garde architectural showpiece was designed by Rafael Moneo  and won the Mies van der Rohe prize for the best building in Europe in 2001. The main hotels, restaurants and shopping areas are within walking distance.

CEC 2017 covers all topics in the field of Evolutionary Computation including the following non-exhaustive list:

• Genetic algorithms
• Genetic programming
• Estimation of distribution algorithms
• Evolutionary programming
• Evolution strategies
• Bioinformatics and bioengineering
• Coevolution and collective behavior
• Combinatorial and numerical optimization
• Constraint and uncertainty handling
• Evolutionary data mining
• Evolutionary learning systems
• Evolvable/adaptive hardware and systems
• Evolving neural networks and fuzzy systems
• Evolutionary multi-objective optimization
• Ant colony optimization
• Artificial life
• Agent-based systems
• Molecular and quantum computing
• Particle Swarm Optimization
• Artificial immune systems
• Representation and operators
• Industrial applications of EC
• Evolutionary game theory
• Cognitive systems and applications
• Computational finance and economics
• Estimation of distribution algorithms
• Evolutionary design
• Evolutionary scheduling

Important Dates:

Submission deadline for special sessions: November 7, 2016

Deadline for the submission of tutorials and competitions proposals: January  9, 2017

Paper submission deadline: January 16, 2017   

Paper Decision notification: February 26, 2017


All the papers have to be submitted electronically through the congress application.

For Program inquiries please contact the Program Chair, Carlos Coello at ccoello@cs.cinvestav.mx.

General inquiries for IEEE CEC 2017 should be sent to the General Chair, Jose A. Lozano at  info@cec2017.org

You can also follow CEC 2017 on Twitter: https://twitter.com/cec2017

We are looking forward to seeing you in San Sebastian!

Call for Papers IJCNN Special Session "Concept Drift, Domain Adaptation & Learning in Dynamic Environments"

Special Session on "Concept Drift, Domain Adaptation & Learning in Dynamic Environments" will be held within the INNS-IEEE IJCNN 2017, Anchorage Alaska in May, 14-19 2017.

http://home.deib.polimi.it/boracchi/events/ijcnn2017_SS/index.html
http://www.ijcnn.org/

IMPORTANT DATES

Paper submission: November 15th, 2016
Paper Decision notification: January 20th, 2017
Camera-ready submission: February 20th, 2017
Conference Dates: May 14 - 19th, 2017

One of the fundamental goals in computational intelligence is to achieve brain-like intelligence, a remarkable property of which is the ability to incrementally learn from noisy and incomplete data, and ability to adapt to changing environments. The special session aims at presenting novel approaches to incremental learning and adaptation to dynamic environments both from the more traditional and theoretical perspective of computational intelligence and from the more practical and application-oriented one.

This Special Session aspires at building a bridge between academic and industrial research, providing a forum for researchers in this area to exchange new ideas with each other, as well as with the rest of the neural network & computational intelligence community.

Topics

Papers must present original work or review the state-of-the-art in the following non-exhaustive list of topics:

• Methodologies/algorithms/techniques for learning in dynamic/non-stationary environments
• Incremental learning, lifelong learning, cumulative learning
• Domain adaptation and covariate-shift adaptation
• Semi-supervised learning methods for nonstationary environments
• Ensemble methods for learning in nonstationary environments
• Learning under concept drift and class imbalance
• Learning recurrent concepts
• Change-detection and anomaly-detection algorithms
• Information-mining algorithms in nonstationary datastreams
• Cognitive-inspired approaches for adaptation and learning
• Applications that call for learning in dynamic/non-stationary environments, or change/anomaly detection, such as
• adaptive classifiers for concept drift
• adaptive/Intelligent systems
• fraud detection
• fault detection and diagnosis
• network-intrusion detection and security
• intelligent sensor networks
• time series analysis
• Benchmarks/standards for evaluating algorithms learning in non-stationary/dynamic environments

Keywords

Concept drift, nonstationary environment, change/anomaly detection, domain adaptation, incremental learning, data streams.

Paper Submission

THE DEADLINE FOR THE PAPER SUBMISSION TO THE SPECIAL SESSION IS THE SAME OF IJCNN 2017, November 15th 2017.

All the submissions will be peer-reviewed with the same criteria used for other contributed papers.

Perspective authors will submit their papers through the IJCNN 2017 conference submission system at http://www.ijcnn.org/

Please make sure to select the Special Session nr 5 "Concept Drift, Domain Adaptation & Learning in Dynamic Environments" from the "S. SPECIAL SESSION TOPICS" name in the "Main Research topic" dropdown list;

Templates and instruction for authors will be provided on the IJCNN webpage http://www.ijcnn.org/

All papers submitted to the special sessions will be subject to the same peer-review procedure as regular papers, accepted papers will be published in the IEEE Conference Proceedings .

Further information about IJCNN 2017 can be found at http://www.ijcnn.org/

For any question you may have about the Special Session or paper submission, feel free to contact Giacomo Boracchi

Organizers

• Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy)
• Robi Polikar (Rowan University, Glassboro, NJ, USA)
• Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) 
• Gregory Ditzler, (University of Arizona, AZ, USA)

Call for Papers: IEEE CIBCB 2017

IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology
23-25 August 2017 – Manchester, UK
www.cibcb2017.org

IEEE CIBCB 2017

The IEEE Conference on Computational in Bioinformatics and Computational Biology (IEEE CIBCB) has become a major technical event in the field of Computational Intelligence (CI) and its application to problems in bioinformatics, computational biology, and biomedical engineering. IEEE CIBCB 2017 provides a global forum for academic and industrial scientists from computer science, biology, chemistry, medicine, mathematics, statistics, and engineering, to discuss and present their latest research findings from theory to applications.
IEEE CIBCB will be held at the INNSIDE Hotel, Manchester, UK. Manchester is a city which has grown from the first industrial city and the home of the first programmable computer, to be the central hub of the “Powerhouse of the North” of England – an influential, modern, knowledge-based city amongst the top European locations for science, healthcare, education, business and leisure.
2017 marks also the return of IEEE CIBCB to Europe, having been hosted here only once before (Paris, 2011) since its foundation in 2004 We believe that the UK and Manchester is the right location to expand the popularity of this exciting research field and the CIBCB conference itself in this part of the world.

Call for Papers

Papers for IEEE CIBCB 2017 should be submitted electronically through the Conference website at www.cibcb2017.org, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. Topics of interest include but are not limited to:

CI in Bioinformatics

• Evolution, phylogeny, comparative genomics
• Gene expression array analysis
• Metabolic pathway analysis
• MicroRNA analysis
• Molecular sequence alignment and analysis
• Pattern recognition/data mining/optimization methods in Bioinformatics
• Visualization of large biological data sets

CI in Computational Biology

• Systems and synthetic biology
• Structure prediction and folding
• Modelling, simulation, and optimization of biological systems
• Biological network reconstruction/robustness/evolvability
• Epigenomics

CI in Biomedical Engineering, Bioprocessing and Healthcare Informatics

• Medical imaging and pattern recognition
• Biomedical data modelling/data mining/model parametrization
• Parallel/high performance computing
• Big data analysis and tools for biological and medical data
• Biomarker discovery and development
• Health data acquisition/analysis/mining
• Healthcare information systems/knowledge representation/reasoning
• Personalized medicine and treatment optimization
• Biopharmaceutical manufacturing
• Closed-loop optimization methods/platforms

Call for Special Session Proposals

IEEE CIBCB 2017 solicits proposals for special sessions within the technical scope of the conference. Special session proposals should include the session title, a brief description of the scope, contact information and brief CV of the organizers. Inquiries regarding special session proposals should be addressed to the Special Session Chair.

Call for Tutorials

IEEE CIBCB 2017 will feature tutorials covering fundamental and advanced topics in computational intelligence and its application to problems within the scope of the conference. A tutorial proposal should include title, outline, enrolment, and presenter/organizer biography. Inquiries regarding tutorial proposals should be addressed to the Tutorial Chair.

Call for Competitions

IEEE CIBCB 2017 enters all accepted posters into a Best Poster Competition. All conference attendees will have the chance to vote in the Competition on site. The best judged poster will win a prize and featured on the IEEE CIBCB 2017 website. Inquiries regarding the Competition should be addressed to the Competition Chair.

General Chair:
Richard Allmendinger (UK)
 
Program Chair:
Steven Corns (USA)

Technical Co-Chairs:
Julia Handl (UK)
John Keane (UK)
Anil Wipat (UK)

Finance Chair:
Wendy Ashlock (Canada)

Publicity Chair:
Dan Ashlock (Canada)
Sansanee Auephanwiriyakul (Thailand)
Jennifer Hallinan (Australia)
Yaochu Jin (UK)
Sanaz Mostaghim (Germany)

Tutorial Chair:
Joshua Knowles (UK)

Proceedings Chair:
Sheridan Houghten (Canada)

Web Chair:
Manuel López-Ibáñez (UK)

Special Chair:
Joseph Brown (Russia)

Competition Chair:
Pedro Mendes (UK)

Local Chair:
Yu-Wang Chen (UK)

Important Dates

Special sessions proposals:
13 January 2017

Tutorial proposals:
10 February 2017

Paper submission:
31 March 2017

Paper acceptance notification:
2 June 2017

Final paper submission and early registration deadline:
30 June 2017

IEEE Transactions on Evolutionary Computation, Volume 20, Issue 5, October 2016

1. Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization
Author(s): Miqing Li; Shengxiang Yang; Xiaohui Liu
Page(s): 645 - 665

2. An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization
Author(s): Jianhua Liu; Yi Mei; Xiaodong Li
Page(s): 666 - 681

3. Algebraic Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem With Total Flowtime Criterion
Author(s): Valentino Santucci; Marco Baioletti; Alfredo Milani
Page(s): 682 - 694

4. Kuhn–Munkres Parallel Genetic Algorithm for the Set Cover Problem and Its Application to Large-Scale Wireless Sensor Networks
Author(s): Xin-Yuan Zhang; Jun Zhang; Yue-Jiao Gong; Zhi-Hui Zhan; Wei-Neng Chen; Yun Li
Page(s): 695 - 710

5. A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems
Author(s): Qiuzhen Lin; Jianyong Chen; Zhi-Hui Zhan; Wei-Neng Chen; Carlos A. Coello Coello; Yilong Yin; Chih-Min Lin; Jun Zhang
Page(s): 711 - 729

6. Metaheuristics for Specialization of a Segmentation Algorithm for Ultrasound Images
Author(s): Francesco Rogai; Claudia Manfredi; Leonardo Bocchi
Page(s): 730 - 741

7. On Routine Evolution of Complex Cellular Automata
Author(s): Michal Bidlo
Page(s): 742 - 754

8. Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems
Author(s): Yiu-ming Cheung; Fangqing Gu; Hai-Lin Liu
Page(s): 755 - 772

9. A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
Author(s): Ran Cheng; Yaochu Jin; Markus Olhofer; Bernhard Sendhoff
Page(s): 773 - 791

10. A Self-Organizing Multiobjective Evolutionary Algorithm
Author(s): Hu Zhang; Aimin Zhou; Shenmin Song; Qingfu Zhang; Xiao-Zhi Gao; Jun Zhang
Page(s): 792 - 806

11. Pareto Fronts of Many-Objective Degenerate Test Problems
Author(s): Hisao Ishibuchi; Hiroyuki Masuda; Yusuke Nojima
Page(s): 807 - 813

12. Stability Analysis of the Particle Swarm Optimization Without Stagnation Assumption
Author(s): Mohammad Reza Bonyadi; Zbigniew Michalewicz
Page(s): 814 - 819

IEEE Transactions on Fuzzy Systems, Volume 24, Issue 5

1. On Pythagorean and Complex Fuzzy Set Operations
Author(s): Scott Dick; Ronald R. Yager; Omolbanin Yazdanbakhsh
Page(s): 1009 - 1021

2. Classification of Type-2 Fuzzy Sets Represented as Sequences of Vertical Slices
Author(s): Lorenzo Livi; Hooman Tahayori; Antonello Rizzi; Alireza Sadeghian; Witold Pedrycz
Page(s): 1022 - 1034

3. Power Average of Trapezoidal Intuitionistic Fuzzy Numbers Using Strict t-Norms and t-Conorms
Author(s): Shu-Ping Wan; Zhi-Hong Yi
Page(s): 1035 - 1047

4. Aperiodic Sampled-Data Sliding-Mode Control of Fuzzy Systems With Communication Delays Via the Event-Triggered Method
Author(s): Shiping Wen; Tingwen Huang; Xinghuo Yu; Michael Z. Q. Chen; Zhigang Zeng
Page(s): 1048 - 1057

5. Fault Detection and Isolation for Affine Fuzzy Systems With Sensor Faults
Author(s): Huimin Wang; Guang-Hong Yang; Dan Ye
Page(s): 1058 - 1071

6. Knowledge Measure for Atanassov's Intuitionistic Fuzzy Sets
Author(s): Kaihong Guo
Page(s): 1072 - 1078

7. Takagi–Sugeno–Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals
Author(s): Changjian Yang; Zhaohong Deng; Kup-Sze Choi; Shitong Wang
Page(s): 1079 - 1094

8. A Survey of Adaptive Fuzzy Controllers: Nonlinearities and Classifications
Author(s): Meng Joo Er; Sayantan Mandal
Page(s): 1095 - 1107

9. Optimal Design of Constraint-Following Control for Fuzzy Mechanical Systems
Author(s): Ruiying Zhao; Ye-Hwa Chen; Shengjie Jiao
Page(s): 1108 - 1120

10. Multiscale Opening of Conjoined Fuzzy Objects: Theory and Applications
Author(s): Punam K. Saha; Subhadip Basu; Eric A. Hoffman
Page(s): 1121 - 1133

11. Decentralized State Feedback Control of Uncertain Affine Fuzzy Large-Scale Systems With Unknown Interconnections
Author(s): Huimin Wang; Guang-Hong Yang
Page(s): 1134 - 1146

12. Fuzzy Adaptive Control With State Observer for a Class of Nonlinear Discrete-Time Systems With Input Constraint
Author(s): Yan-Jun Liu; Shaocheng Tong; Dong-Juan Li; Ying Gao
Page(s): 1147 - 1158

13. Fuzzy-Based Goal Representation Adaptive Dynamic Programming
Author(s): Yufei Tang; Haibo He; Zhen Ni; Xiangnan Zhong; Dongbin Zhao; Xin Xu
Page(s): 1159 - 1175

14. Nonparametric Statistical Active Contour Based on Inclusion Degree of Fuzzy Sets
Author(s): Maoguo Gong; Hao Li; Xiang Zhang; Qiunan Zhao; Bin Wang
Page(s): 1176 - 1192

15. The Role of Crisp Elements in Fuzzy Ontologies: The Case of Fuzzy OWL 2 EL
Author(s): Fernando Bobillo
Page(s): 1193 - 1209

16. Transfer Prototype-Based Fuzzy Clustering
Author(s): Zhaohong Deng; Yizhang Jiang; Fu-Lai Chung; Hisao Ishibuchi; Kup-Sze Choi; Shitong Wang
Page(s): 1210 - 1232

17. Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables
Author(s): Hongyi Li; Chengwei Wu; Shen Yin; Hak-Keung Lam
Page(s): 1233 - 1245

18. Adaptive Fuzzy Hysteresis Internal Model Tracking Control of Piezoelectric Actuators With Nanoscale Application
Author(s): Pengzhi Li; Peiyue Li; Yongxin Sui
Page(s): 1246 - 1254