Tuesday 17 April 2012

Special session: Computational Intelligence and Social Media

The below is a call for papers for a special session of the 2012  IEEE Workshop on Computational Intelligence for Security and Defence Applications (IEEE CISDA) 2012. The deadline for submitting papers for this special session is 23 April, 2012. This conference will be held in Ottawa, Canada, 11-13 July 2012.

Computational Intelligence and Social Media

Organizers: John Verdon, DRDC Ottawa, Canada
Contact: john.verdon -at- drdc-rddc.gc.ca

Military and security communities are hard-pressed to develop the capabilities required to exploit the huge volumes of data, the new forms of information, and rapidly changing content of Social Media (SM) such as blogs, wikis, videos, social graph based systems (such as Facebook, Twitter) and many other SM systems that are being deployed. SM is also in its infancy, so there is a huge potential for SM to evolve far beyond its current capabilities and types of information.

Computational Intelligence techniques (Neural network, Evolutionary computation, Fuzzy Systems, Particle Swarms, etc) have often been based on, and and have been related to, highly complex, structured, and dynamic natural systems in [biology, neuroscience, brain, psychology, sociology]. This may make them particularly well suited for the extraction of intelligence from existing forms of SM, for the [modeling, prediction, control] of SM activity, as well as for providing some capability of keeping up with rapidly evolving and new forms of SM. Papers that deal with massive datasets are of particular interest, and, naturally, papers should relate to defense and security needs, applications, and tool-sets. Security & Defense needs and Social Media [some examples from Forrester 2011, Verdon 2012] topics include, but are not limited to:
  • Language translation - filtering a collection of documents down to those that should be translated by humans
  • Knowledge extraction - validating facts from unstructured and questionable sources
  • Document summarization - extracting the sense of a document or a group of topically-related documents, and establishing the main points of consensus and divergence
  • Trend identification - as well as possible causal linkages among trends and supporting evidence
  • Active learning - determining where information is lacking and which data would be most productive to acquire
  • Security - at what threshold does secrecy become a liability rather than an asset for security?
  • Reputation and/or Recommendation - ‘quick trust’ of the participants and possibly of the information

Friday 13 April 2012

Call for nominations for Awards of the IEEE Computational Intelligence Society

The IEEE Computational Intelligence Society annually recognizes significant contributions and meritorious service in the field of computational intelligence with several awards:

Neural Networks Pioneer Award, Fuzzy Systems Pioneer Award, Evolutionary Computation Pioneer Award, Meritorious Service Award, IEEE Transactions on Neural Networks Outstanding Paper Award, IEEE Transactions on Fuzzy Systems Outstanding Paper Award, IEEE Transactions on Evolutionary Computation Outstanding Paper Award, Outstanding Chapter Award, Outstanding PhD Dissertation Award, Outstanding Organization Award, and the Outstanding Early Career Award.

The deadline for nominations for Awards of the IEEE Computational Intelligence Society is the 30 April 2012; for details about the nomination process please refer to the web link http://ieee-cis.org/awards/.

If you have any questions regarding any of our awards recognition or would like to just find out more information, please feel free to contact me the Awards Chair Prof.Cesare Alippi at alippi@elet.polimi.it

Sunday 8 April 2012

IEEE Transactions on Neural Networks and Learning Systems; Volume 23, Issue 4, April 2012

1. Title: Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence
Authors: Akira Hirose; Shotaro Yoshida
Page(s): 541 - 551

2. Title: Tackling Learning Intractability Through Topological Organization and Regulation of Cortical Networks
Authors: Jekanthan Thangavelautham; Gabriele M. T. D’Eleuterio
Page(s): 552 - 564

3. Title: Neural Learning Circuits Utilizing Nano-Crystalline Silicon Transistors and Memristors
Authors: Kurtis D. Cantley; Anand Subramaniam; Harvey J. Stiegler; Richard A. Chapman; Eric M. Vogel
Page(s): 565 - 573

4. Title: Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference
Authors: Julie A. Wall; Liam J. McDaid; Liam P. Maguire; Thomas M. McGinnity
Page(s): 574 - 586

5. Title: Minimum Data Requirement for Neural Networks Based on Power Spectral Density Analysis
Authors: Jiamei Deng; Bastian Maass; Richard Stobart
Page(s): 587 - 595

6. Title: Feature Extraction With Deep Neural Networks by a Generalized Discriminant Analysis
Authors: André Stuhlsatz; Jens Lippel; Thomas Zielke
Page(s): 596 - 608

7. Title: Fast and Efficient Second-Order Method for Training Radial Basis Function Networks
Authors: Tiantian Xie; Hao Yu; Joel Hewlett; Pawe Rózycki; Bogdan Wilamowski
Page(s): 609 - 619

8. Title: General Robot Kinematics Decomposition Without Intermediate Markers
Authors: Stefan Ulbrich; Vicente Ruiz de Angulo; Tamim Asfour; Carme Torras; Rüdiger Dillmann
Page(s): 620 - 630

9. Title: Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis
Authors: Duncan A. J. Blythe; Paul von Bünau; Frank C. Meinecke; Klaus-Robert Müller
Page(s): 631 - 643

10. Title: Tangent Hyperplane Kernel Principal Component Analysis for Denoising
Authors: Joon-Ku Im; Daniel W. Apley; George C. Runger
Page(s): 644 - 656

11. Title: Modified Kolmogorov's Neural Network in the Identification of Hammerstein and Wiener Systems
Authors: Jarosaw Michalkiewicz
Page(s): 657 - 662

12. Title: Mode and Delay-Dependent Adaptive Exponential Synchronization in pth Moment for Stochastic Delayed Neural Networks With Markovian Switching
Authors: Wuneng Zhou; Dongbing Tong; Yan Gao; Chuan Ji; Hongye Su
Page(s): 662 - 668

13. Title: A Priori Guaranteed Evolution Within the Neural Network Approximation Set and Robustness Expansion via Prescribed Performance Control
Authors: Charalampos P. Bechlioulis; George A. Rovithakis
Page(s): 669 - 675

14. Title: Analysis on the Convergence Time of Dual Neural Network-Based kWTA
Authors: Yi Xiao; Yuxin Liu; Chi-Sing Leung; John Pui-Fai Sum; Kevin Ho
Page(s): 676 - 682

15. Title: Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation
Authors: Dries Geebelen; Johan A. K. Suykens; Joos Vandewalle
Page(s): 682 - 688

Saturday 7 April 2012

A new website dedicated to the IEEE Transactions on Fuzzy Systems

A new website dedicated to the IEEE Transactions on Fuzzy Systems, which includes many of the important information related to this journal, such as "New Papers," "Top Cited," "Top Download," "Top View," "Top Recommend," and many others. We would recommend you to take a look of this new website. Thank you!

Wednesday 4 April 2012

Graduate Student Research Grants

The IEEE Computational Intelligence Society (CIS) is accepting applications for scholarships to deserving undergraduate, graduate and PhD students who need financial support to carry out their research during an academic break period. Any student who is a member of the IEEE CIS with a meritorious project is invited to apply. Application deadline is April 16, 2012.

Interested students should visit http://ieee-cis.org/edu/research/ where important information about the eligibility criteria and application process is provided.