Reminder: paper submission deadline for SEAL 2014

A reminder that the deadline for submitting papers to the 10th International Conference on Simulated Evolution and Learning (SEAL) 2014 is 14 July, 2014. This conference will be held in Dunedin, New Zealand, 15-18 December, 2014.

A note on my posting

Some people may have noticed that my posts are appearing at odd times, or have slightly different formatting. The reason for this is that I am currently in China, where I am spending some time teaching at Huanggang Normal University and Xuzhou Institute of Technology. When I've finished teaching, I will take some time off before attending the WCCI 2014 conference in Beijing, where I'm chairing a special session.

While everyone here is very friendly and go out of their way to be helpful, there is one thing I dislike about China: the internet censorship. This means that I can't access Blogger directly to post or check updates before they post, so I have to do it via email. So, I sometimes make mistakes with the formatting, and I can't schedule updates to go live at certain times like I usually do.

I'm also updating Twitter via email, which is a bit easier to do, so you can follow me there if you aren't already. Please bear with me, I will be back in New Zealand mid-July and posts will return to their more usual schedule.

IEEE Transactions on Evolutionary Computation Volume 18, Number 3, June 2014

1. A Self-Adjustable Input Genetic Algorithm for the Near-Surface Problem in Geophysics
Author(s): Y. Sun and D. J. Verschuur
Pages: 309-325

2. Evolutionary Programming for High-Dimensional Constrained Expensive Black-Box Optimization Using Radial Basis Functions
Author(s): R. G. Regis
Pages: 326-347

3. Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization
Author(s): M. Li, S. Yang, and X. Liu
Pages: 348-365

4. Data Clustering Using Variants of Rapid Centroid Estimation
Author(s): M. Yuwono, S. W. Su, B. D. Moulton, and H. T. Nguyen
Pages: 366-377

5. Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization
Author(s): M. N. Omidvar, X. Li, Y. Mei, and X. Yao
Pages: 378-393

6. Optimal Experiment Design for Coevolutionary Active Learning
Author(s): D. L. Ly and H. Lipson
Pages: 394-404

7. Genetic Programming for the Automatic Inference of Graph Models for Complex Networks
Author(s): A. Bailey, M. Ventresca, and B. Ombuki-Berman
Pages: 405-419

8. On the Landscape of Combinatorial Optimization Problems
Author(s): M.-H. Tayarani-N. and A. Prugel-Bennett
Pages: 420-434

9. Cooperative Coevolution With Route Distance Grouping for Large-Scale Capacitated Arc Routing Problems
Author(s): Y. Mei, X. Li, and X. Yao
Pages: 435-449

LETTERS

10. Decomposition of a Multiobjective Optimization Problem into a Number of Simple Multiobjective Subproblems
Author(s): H.-L. Liu, F. Gu, and Q. Zhang
Pages: 450-455

11. Sampling Techniques and Distance Metrics in High Dimensional Continuous Landscape Analysis: Limitations and Improvements
Author(s): R. Morgan and M. Gallagher
Pages: 456

IEEE Transactions on Fuzzy Systems, Volume 22, Number 3, June 2014

1. Bandler–Kohout Subproduct With Yager's Classes of Fuzzy Implications
Author(s): S. Mandal and B. Jayaram
Pages: 469-482

2. Day or Night Activity Recognition From Video Using Fuzzy Clustering Techniques
Author(s): T. Banerjee, J. M. Keller, M. Skubic, and E. Stone
Pages: 483-493

3. Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults
Author(s): Q. Shen, B. Jiang, P. Shi, and J. Zhao
Pages: 494-504

4. Evaluating R&D Projects as Investments by Using an Overall Ranking From Four New Fuzzy Similarity Measure Based TOPSIS Variants
Author(s): M. Collan and P. Luukka
Pages: 505-515

5. A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making
Author(s): I. Palomares, L. Martınez, and F. Herrera
Pages: 516-530

6. Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory
Author(s): V. G. Kaburlasos and A. Kehagias
Pages: 531-546

7. GENEFIS: Toward an Effective Localist Network
Author(s): M. Pratama, S. G. Anavatti, and E. Lughofer
Pages: 547-562

8. Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics
Author(s): S. Tong, T. Wang, and Y. Li
Pages: 563-574

9. Operators and Comparisons of Hesitant Fuzzy Linguistic Term Sets
Author(s): C. Wei, N. Zhao, and X. Tang
Pages: 575-585

10. Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making
Author(s): C. Gao, Q. Ge, and L. Jian
Pages: 586-596

11. Fuzzy Cognitive Network Process: Comparisons With Fuzzy Analytic Hierarchy Process in New Product Development Strategy
Author(s): K. K. F. Yuen
Pages: 597-610

12. Delayed Output Feedback Control for Nonlinear Systems With Two-Layer Interval Fuzzy Observers
Author(s): W.-S.Yu, M.Karkoub, T.-S. Wu, and M.-G. Her
Pages: 611-630

13. Adaptive Fuzzy Finite-Time Coordination Control for Networked Nonlinear Bilateral Teleoperation System
Author(s): Y. Yang, C. Hua, and X. Guan
Pages: 631-641

14. Fuzzy Boundary Control Design for a Class of Nonlinear Parabolic Distributed Parameter Systems
Author(s): H.-N. Wu, J.-W. Wang, and H.-X. Li
Pages: 642-652

15. Fuzzy Chance-Constrained Multiobjective Portfolio Selection Model
Author(s): M. K. Mehlawat and P. Gupta
Pages: 653-671

16. New Classes of Threshold Aggregation Functions Based Upon the Tsallis q-Exponential With Applications to Perceptual Computing
Author(s): J. T. Rickard and J. Aisbett
Pages: 672-684

17. Centroids of Type-1 and Type-2 Fuzzy Sets When Membership Functions Have Spikes
Author(s): J. Aisbett and J. T. Rickard
Pages: 685-692

SHORT PAPERS

18. Breast Nodules Computer-Aided Diagnostic System Design Using Fuzzy Cerebellar Model Neural Networks
Author(s): C.-M. Lin, Y.-L. Hou, T.-Y. Chen, and K.-H. Chen
Pages: 693-698

19. Nonquadratic H∞ Stabilization Conditions for Observer-Based T–S Fuzzy Control Systems
Author(s): S. H. Kim
Pages: 699


--
http://mike.watts.net.nz

International Neural Network Society Call for Nominations for Senior Member

The International Neural Network Society (INNS) is calling for nominations for Senior Member. The requirements for Senior Member are as follows:

1. A regular or affiliate member of the INNS, who has been an INNS member for at least 5 consecutive years, can be nominated by an INNS member for Senior Member.

2. The nominee must have demonstrated a significant contribution to the theory and/or applications and/or education and promotion of the subject discipline, and this must be stated in the nomination letter.

3. Final confirmation of the 2014 Senior Members will be made by the INNS Board of Governors and appropriate announcements will then be made, at least on the INNS website, www.inns.org, and in the INNS magazine.

4. New Senior Members will receive an updated membership certificate.

For 2014, nomination letters and a CV of the candidate can be sent via e-mail to the INNS VP for Membership, Irwin King at king@cse.cuhk.edu.hk with the subject line: 2014 INNS SM Nomination, by Friday, June 27, 2014.

Reminder: paper submission deadline for SCIS and ISIS 2014

A reminder that the deadline for the jointly-held conferences Soft Computing and Intelligent Systems (SCIS) and International Symposium on Advanced Intelligent Systems (ISIS) 2014 is 30 June, 2014. This conference will be held in Kitakyushu, Japan, December 3-6, 2014.

Call for Papers: Special Issue on “New Trends of Learning in Computational Intelligence”

A special issue of the IEEE Computational Intelligence Magazine (IEEE CIM) will be dedicated to New Trends of Learning in Computational Intelligence. Prospective  uthors are invited to submit their original unpublished research and application contributions. Comprehensive tutorial and survey papers can also be considered for this special issue.

Over the past few decades, conventional computational intelligence techniques faced severe bottlenecks in terms of algorithmic learning. Particularly, in areas of big data computation, brain science, cognition and reasoning, it is almost inevitable that intensive human intervention and time consuming trial and error efforts need to be employed before any meaningful observations can be obtained. The recent development of emerging computational intelligence techniques such as extreme learning machines (ELM) and fast solutions shed some light upon how to effectively deal with these computational bottlenecks.

Based on the observations that increasing correlation can be found among apparently different theories from different fields, as well as the increasing evidence of convergence between computational intelligence techniques and biological learning mechanisms, this special issue seeks to promote novel research investigations in computational intelligence bridging among related areas.

Topics of interest for this special issue include but are not limited to:

• Theoretical foundations and algorithms:
  • Extreme learning machines (ELM), No-Prop algorithms and random kitchen sinks
  • Real-time learning, reasoning and cognition
  • Sequential / incremental learning
  • Clustering and feature extraction / selection
  • Closed form and non-closed form solutions
  • Multiple hidden layers solutions and random networks
  • Parallel and distributed computing / cloud computing
  • Fast implementation of deep learning
• Applications
  • Biologically-inspired natural language processing
  • Big data analytics
  • Cognitive science / computation
  • Autonomous systems

Deadlines

15th August, 2014: Submission of Manuscripts
15th October, 2014: Notification of Review Results
15th November, 2014: Submission of Revised Manuscripts
15th December, 2014: Submission of Final Manuscripts

Publication: May 2015 Issue

Paper Submission

The maximum length for the manuscript is typically 25 pages in single column format with double-spacing, including figures and references. Authors should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Submission should be made via https://www.easychair.org/conferences/conf=ieeecimmay2015.

Guest Editors

Guang-Bin Huang, Nanyang Technological University, egbhuang@ntu.edu.sg
Erik Cambria, MIT Media Laboratory, USA, cambria@media.mit.edu
Kar-Ann Toh, Yonsei University, South Korea, katoh@yonsei.ac.kr
Bernard Widrow, Stanford University, USA, widrow@stanford.edu
Zongben Xu, Xi’an Jiaotong University, China, zbxu@mail.xjtu.edu.cn

Call for Papers: Symposium on "Intelligent Embedded Systems" (IES 2014)

Call for papers for the Symposium on "Intelligent Embedded Systems"  (IES 2014) at IEEE Symposium Series in Computational Intelligence 2014 Orlando, Florida,  December 9 -12, 2014
Web site: http://ies14-ssci.deib.polimi.it/

IMPORTANT DATES

Special Session Proposal: April 15, 2014
Paper submission: June 15, 2014
Author notifications: September 5, 2014
Camera-ready submission: October 5, 2014
Early registration: October 5, 2014
Conference Dates: December 9 - 12, 2014


Intelligent embedded systems, i.e., embedded processing systems with sensors, actuators and computational intelligence -based computing ability, permeate our daily life. This symposium aims at disseminating recent achievements in computational intelligence towards embedded systems highlighting intelligent behaviors.

This symposium aspires at building a bridge between academic and industrial research, as well as among researchers working in different fields, with the specific purpose of designing systems and embedded systems able to adapt and interact with evolving environments.

The symposium will be held within the IEEE Symposium Series in Computational Intelligence (Orlando, Florida,  December 9 -12, 2014) http://ieee-ssci.org/

TOPICS

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

• Intelligence for embedded systems
• Computational intelligence for cyber-physical systems
• Intelligent fault diagnosis systems
• Intelligent solutions for Internet of Things
• Intelligent sensor networks
• Intelligent sensors and robotics
• Intelligent measurement systems
• Adaptive solutions to operate in evolving/changing environments
• Intelligent systems for real-world applications

KEYWORDS

Embedded systems, fault-diagnosis systems, intelligent applications, intelligent sensors, intelligent sensor networks, Computational Intelligence,  Internet of Things.

SYMPOSIUM ORGANIZERS

• Cesare Alippi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) cesare.alippi@polimi.it
• Giacomo Boracchi (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) giacomo.boracchi@polimi.it
• Manuel Roveri (Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy) manuel.roveri@polimi.it

KEYNOTE SPEAKER

Jose C. Principe, Ph.D. Distinguished Professor ECE BellSouth Professor and Director Computational NeuroEngineering Lab, University of Florida.

TECHNICAL PROGRAMME COMMITTEE

• Nikola Kasabov (Auckland University of Technology, New Zealand)
• Huajin Tang (Agency for Science, Technology and Research, A*STAR, Singapore)
• Danil Prokhorov (Toyota Research Institute NA, Michigan, USA )
• Robert Kozma (University of Memphis, Tennessee, USA)
• Joe-Air Jiang (National Taiwan University, Taiwan)
• Rami Abielmona (University of Ottawa, Canada)
• HuanHuan Chen  (University of Science & Technology of China, Hefei, China)
• Harris Papadopoulos (Frederick University, Cyprus)
• Leandro L. Minku (The University of Birmingham, UK)
• Maurizio Bocca (Politecnico di Milano, Italy)
• Daniele Caltabiano (STMicroelectronics, Milano, Italy)

Further information can be found at IES14 webpage http://ies14-ssci.deib.polimi.it/
Please make sure you select Intelligent Embedded Systems as Main Research topic during the submission process

Neural Networks, Volume 55, Pages 1-110, July 2014

Neuroscience
1. Detecting cells using non-negative matrix factorization on calcium imaging data
Pages: 11-19
Author(s): Ryuichi Maruyama, Kazuma Maeda, Hajime Moroda, Ichiro Kato, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

        
Learning Systems
2. Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning   
Pages: 30-41
Author(s): Xiong Yang, Derong Liu, Ding Wang, Qinglai Wei
        
3. Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality   
Pages: 59-71
Author(s): Lyudmila Grigoryeva, Julie Henriques, Laurent Larger, Juan-Pablo Ortega
        
4. A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction   
Pages: 83-97
Author(s): Mingbo Zhao, Zhao Zhang, Tommy W.S. Chow, Bing Li

        
Mathematical and Computational Analysis
5. Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control   
Pages: 1-10
Author(s): Guodong Zhang, Yi Shen

6. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization
Pages: 20-29
Author(s): Zheng Yan, Jun Wang, Guocheng Li
        
7. Stability analysis of fractional-order Hopfield neural networks with time delays
Pages: 98-109
Author(s): Hu Wang, Yongguang Yu, Guoguang Wen

        
Engineering and Applications
8. Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features   
Pages: 42-58
Author(s): Rami N. Khushaba, Maen Takruri, Jaime Valls Miro, Sarath Kodagoda
        
9. Model, analysis, and evaluation of the effects of analog VLSI arithmetic on linear subspace-based image recognition   
Pages: 72-82
Author(s): Gonzalo Carvajal, Miguel Figueroa

Neural networks new articles 19-25 May, 2014

1. Comparing fixed and variable-width gaussian networks
Author(s): Věra Kůrková, Paul C. Kainen

IEEE Transactions on Neural Networks and Learning Systems: Volume 25, Issue 6, June 2014

1. A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks
Author(s): Alippi, C. ; Roveri, M. ; Trova, F.
Pages: 1021-1032

2. A Simple Scheme for Formation Control Based on Weighted Behavior Learning
Author(s): Lin, J. ; Hwang, K. ; Wang, Y.
Pages: 1033-1044

3. New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties
Author(s): Arik, S.
Pages: 1045-1052

4. A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series
Author(s): Blanchart, P. ; Depecker, M.
Pages: 1053-1070

5. Local Coordinate Concept Factorization for Image Representation
Author(s): Liu, H. ; Yang, Z. ; Yang, J. ; Wu, Z. ; Li, X.
Pages: 1071-1082

6. Global and Local Structure Preservation for Feature Selection
Author(s): Liu, X. ; Wang, L. ; Zhang, J. ; Yin, J. ; Liu, H.
Pages: 1083-1095

7. A Load-Balancing Self-Organizing Incremental Neural Network
Author(s): Zhang, H. ; Xiao, X. ; Hasegawa, O.
Pages: 1096-1105

8. Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming
Author(s): Heydari, A. ; Balakrishnan, S.N.
Pages: 1106-1117

9. Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM
Author(s): Laporte, L. ; Flamary, R. ; Canu, S. ; Dejean, S. ; Mothe, J.
Pages: 1118-1130

10. Multiset Canonical Correlations Using Globality Preserving Projections With Applications to Feature Extraction and Recognition
Author(s): Yuan, Y. ; Sun, Q.
Pages: 1131-1146

11. Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk
Author(s): Rolf, M. ; Steil, J.J.
Pages: 1147-1160

12. Novel LMI-Based Condition on Global Asymptotic Stability for a Class of Cohen–Grossberg BAM Networks With Extended Activation Functions
Author(s): Zhang, Z. ; Cao, J. ; Zhou, D.
Pages: 1161-1172

13. Semisupervised Classification Through the Bag-of-Paths Group Betweenness
Author(s): Lebichot, B. ; Kivimaki, I. ; Francoisse, K. ; Saerens, M.
Pages: 1173-1186

14. Rapid Oscillation Fault Detection and Isolation for Distributed Systems via Deterministic Learning
Author(s): Chen, T. ; Wang, C. ; Hill, D.J.
Pages: 1187-1199

15. Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization
Author(s): Dong, W. ; Zhou, M.
Pages: 1200-1216

16. Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
Author(s): Chen, C.L.P. ; Wen, G. ; Liu, Y. ; Wang, F.
Pages: 1217-1127

Paper submission deadline: IJCNN 2015

The paper submission deadline for the International Joint Conference on Neural Networks (IJCNN) 2015 is January 15, 2015. This conference will be held in Killarney, Ireland, July 12-17, 2015.

Neural Networks new articles 12-18 May, 2014

1. A wavelet-based method for extracting intermittent discontinuities observed in human motor behavior
Author(s): Yasuyuki Inoue, Yutaka Sakaguchi
   
2. Immediate return preference emerged from a synaptic learning rule for return maximization
Author(s): Yoshiya Yamaguchi, Takeshi Aihara, Yutaka Sakai
   
3. Periodicity and dissipativity for memristor-based mixed time-varying delayed neural networks via differential inclusions
Author(s): Lian Duan, Lihong Huang
  
4. Discrete particle swarm optimization for identifying community structures in signed social networks
Author(s): Qing Cai, Maoguo Gong, Bo Shen, Lijia Ma, Licheng Jiao
   
5. Noise model based image -support vector regression with its application to short-term wind speed forecasting
Author(s): Qinghua Hu, Shiguang Zhang, Zongxia Xie, Jusheng Mi, Jie Wan
   
6. Grid topologies for the self-organizing map
Author(s): Ezequiel López-Rubio, Antonio Díaz Ramos

Reminder: paper submission deadline for IEEE CISDA 2014

A reminder that the deadline for submitting papers to the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) 2014 is June 15, 2014. This conference will be held in Hanoi, Vietnam, 14-17 December, 2014.

Reminder: paper submission deadline for IEEE SSCI 2014

A reminder that the deadline for submitting papers to the IEEE Symposium Series on Computational Intelligence (SSCI) 2014 is 15 June 2014. This group of symposia will be held in Orlando, Florida, 9-12 December, 2014.

Reminder: conference paper deadline for ICAPR 2015

A reminder that the deadline for submitting papers to the Eighth International Conference on Advances in Pattern Recognition (ICAPR) 2015 is June 15, 2014. This conference will be held in Kolkata, India, January 4-7 2015.

Neural Networks new articles 5 - 11 May, 2014

1. Incorporating conditional random fields and active learning to improve sentiment identification  
Author(s): Kunpeng Zhang, Yusheng Xie, Yi Yang, Aaron Sun, Hengchang Liu, Alok Choudhary

Neural Networks new articles 29 April - 5 May

1. Ideal regularization for learning kernels from labels  
Author(s): Binbin Pan, Jianhuang Lai, Lixin Shen
    
2. Synaptic dynamics: Linear model and adaptation algorithm  
Author(s): Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger

Call for Papers: IEEE SSCI 2014

Welcome to the sunshine of Orlando, Florida for the IEEE SSCI 2014, a flagship international conference sponsored by the IEEE Computational Intelligence Society (CIS) promoting all aspects of Computational Intelligence (CI). The IEEE SSCI 2014 co-locates multiple exciting symposiums at one single location, providing a unique opportunity to encourage cross-fertilization and collaborations in all areas of CI. The IEEE SSCI 2014 features a large number of keynotes, tutorials, and special sessions. The IEEE SSCI 2014 will also offer a number of travel grants as well as an exciting Doctoral Consortium.

We hope you could participate this exciting event, and look forward to seeing you in Orlando in December 2014!

Important dates

Paper submission:          June 15, 2014
Notification to authors:   September 5, 2014
Final submission:            October 5, 2014
Early registration:           October 5, 2014
Website:                        www.ieee-ssci.org

For paper submissions, please go to the conference website: www.ieee-ssci.org and click the "Paper Submission" from the left panel, or directly go to the paper submission link at: ieee-cis.org/conferences/ssci2014/upload.php

IEEE SSCI 2014 features the following Symposia:

• ADPRL'14:     IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Huaguang Zhang, China, Jagannathan Sarangapani, USA, Lucian Busoniu, Romania.

• CCMB'14:      IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Leonid Perlovsky, USA, Jose F Fontanari, Brazil, Angelo Cangelosi, UK, Daniel Levine, USA, Robert Kozma, USA

• CIASG'14:     IEEE Symposium on Computational Intelligence Applications in Smart Grid, G. Kumar Venayagamoorthy, USA, Jung-Wook Park, Korea.

• CIBCI'14:     IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, Damien Coyle, UK, Robert Kozma, USA, Kai Keng Ang, Singapore.

• CIBD'14:      IEEE Symposium on Computational Intelligence in Big Data, Yaochu Jin, UK, Yonghong Peng, UK, Nitesh Chawla, USA, Marios Polycarpou, Cyprus.

• CIBIM'14:     IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, Qinghan Xiao, Canada, David Zhang, China, Fabio Scotti, Italy

• CICA'14,      IEEE Symposium on Computational Intelligence in Control and Automation, Xiao-Jun Zeng, UK.

• CICARE'14,    IEEE Symposium on Computational Intelligence in healthcare and e-health, Amir Hussain, UK, Jonathan Wu, Canada.

• CIComms'14,   IEEE Symposium on Computational Intelligence for Communication Systems and Networks, Sergey Andreev, Finland, Raymond Carroll, Ireland, Maode Ma, Singapore, Paolo Rocca, Italy.

• CICS'14,      IEEE Symposium on Computational Intelligence in Cyber Security, Dipankar Dasgupta, USA

• CIDM'14,      IEEE Symposium on Computational Intelligence and Data Mining, Zhi-Hua Zhou, China, Barbara Hammer, Germany, Carlotta Domeniconi, USA.

• CIDUE'14,     IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, Yaochu Jin, UK, Robi Polikar, USA, Shengxiang Yang, UK

• CIEL'14,      IEEE Symposium on Computational Intelligence in Ensemble Learning, Nikhil R. Pal, India, P. N. Suganthan, Singapore, Xin Yao, UK, Wenjia Wang, UK.

• CIES'14,      IEEE Symposium on Computational Intelligence for Engineering Solutions, Michael Beer, UK, Rudolf Kruse, Germany, Vladik Kreinovich, USA.

• CIHLI'14,     IEEE Symposium on Computational Intelligence for Human-like Intelligence, Jacek Mandziuk, Poland, Wlodzislaw Duch, Poland, Janusz A. Starzyk, USA.

• CIMSIVP'14,   IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, Khan M Iftekharuddin, USA, Salim Bouzerdoum,Australia.

• CIPLS'14,     IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Bülent Çatay, Turkey, Raymond Chiong, Australia, Patrick Siarry, France.

• CIVTS'14,     IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Dipti Srinivasan, Singapore, Justin Dauwels, Singapore, Ana Bazzan, Brazil

• EALS'14,      IEEE Symposium on Evolving and Autonomous Learning Systems, Plamen Angelov, U.K., Dimitar Filev, USA, Nikola Kasabov, New Zealand.

• FOCI'14,      IEEE Symposium on Foundations of Computational Intelligence, Manuel Ojeda-Aciego, Spain, Leonardo Franco, Spain, Carlos Cotta, Spain.

• IA'14,        IEEE Symposium on Intelligent Agents, Hani Hagras, UK, Vincenzo Loia, Italy.

• IES'14,       IEEE Symposium on Intelligent Embedded Systems, Cesare Alippi, Italy, Giacomo Boracchi, Italy, Manuel Roveri, Italy.

• ICES'14,      IEEE International Conference on Evolvable Systems, Andrew Tyrrell, UK, Martin Trefzer, UK.

• ISIC'14,      IEEE International Symposium on Independent Computing, Robert Kozma, USA, Qingfu Zhao, Japan, Cheng-Hsiung Hsieh, Taiwan, Neil Y. Yen, Japan.

• CIR2AT'14,    IEEE Symposium on Computational Intelligence in Robotic Rehabilitation and Assistive Technologies, Gui DeSouza, USA, James Patton, USA, Georgios Kouroupetroglou, Greece

• MC'14,        IEEE Workshop on Memetic Computing, Giovanni Iacca, Netherlands, Fabio Caraffini, UK, Ferrante Neri, UK

• MCDM'14,      IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, Yaochu Jin, UK, Piero Bonissone, USA, Juergen Branke, UK

• RiiSS'14,     IEEE Symposium on Robotic Intelligence in Informationally Structured Space, Janos Botzheim, Japan, Chu Kiong  Loo, Malaysia.

• SDE'14,       IEEE Symposium on Differential Evolution, Janez Brest, Slovenia, Swagatam Das, India, Ferrante Neri, UK

• SIS'14,       IEEE Symposium on Swarm Intelligence, Yuhui Shi, China, P. N. Suganthan, Singapore.

General Chair:            Haibo He, USA
General Program Chair:    Cesare Alippi, Italy

Neural Networks new articles 21-27 April 2014

1. Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
Author(s): Mathieu N. Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger

Conference submission deadline: SEAL 2014

The deadline for submitting papers to the 10th International Conference on Simulated Evolution and Learning (SEAL) 2014 is 14 July, 2014. This conference will be held in Dunedin, New Zealand, 15-18 December, 2014.

IEEE Transactions on Neural Networks and Learning Systems: Volume 25, Issue 5, May 2014

1. Classification in the Presence of Label Noise: A Survey
Author(s): Benoit Frenay and Michel Verleysen
Pages: 845 - 869

2. Efficient Algorithms for Exact Inference in Sequence Labeling SVMs
Author(s): Alexander Bauer; Nico Gornitz; Franziska Biegler; Klaus-Robert Muller; Marius Kloft
Pages: 870 - 881

3. Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems
Author(s): Yu Jiang; Zhong-Ping Jiang
Pages: 882 - 893

4. A Spiking Self-Organizing Map Combining STDP, Oscillations, and Continuous Learning
Author(s): Timothy Rumbell; Susan L. Denham; Thomas Wennekers
Pages: 894 - 907

5. An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance
Author(s): Hasan Ferdowsi; Sarangapani Jagannathan; Maciej Zawodniok
Pages: 908 - 919

6. Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems
Author(s): Chunlin Chen; Daoyi Dong; Han-Xiong Li; Jian Chu; Tzyh-Jong Tarn
Pages: 920 - 933

7. On the Impact of Approximate Computation in an Analog DeSTIN Architecture
Author(s): Steven Young; Junjie Lu; Jeremy Holleman; Itamar Arel
Pages: 934 - 946

8. Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis
Author(s): Huanqing Wang; Bing Chen; Kefu Liu; Xiaoping Liu; Chong Lin
Pages: 947 - 958

9. Simplified Interval Type-2 Fuzzy Neural Networks
Author(s): Yang-Yin Lin; Shih-Hui Liao; Jyh-Yeong Chang; Chin-Teng Lin
Pages: 959 - 969

10. Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks
Author(s): Botla Ganesh; Vadlagattu Varun Kumar; Kalipatnapu Yamuna Rani
Pages: 970 - 979

11. Storing Sparse Messages in Networks of Neural Cliques
Author(s): Behrooz Kamary Aliabadi; Claude Berrou; Vincent Gripon; Xiaoran Jiang
Pages: 980 - 989

12. Incipient Interturn Fault Diagnosis in Induction Machines Using an Analytic Wavelet-Based Optimized Bayesian Inference
Author(s): Jeevanand Seshadrinath; Bhim Singh; Bijaya Ketan Panigrahi
Pages: 990 - 1001

13. A Scalable Stagewise Approach to Large-Margin Multiclass Loss-Based Boosting
Author(s): Sakrapee Paisitkriangkrai; Chunhua Shen; Anton van den Hengel
Pages: 1002 - 1013

14. Data-Driven MFAC for a Class of Discrete-Time Nonlinear Systems With RBFNN
Author(s): Yuanming Zhu; Zhongsheng Hou
Pages: 1013 - 1020

Conference paper deadline: ICAPR 2015

The deadline for submitting papers to the Eighth International Conference on Advances in Pattern Recognition (ICAPR) 2015 is June 15, 2014. This conference will be held in Kolkata, India, January 4-7 2015.