On behalf of our research team, we are currently organizing two special sessions in the field of Computational Intelligence. We look forward to receiving your submissions.

• Special Session on Computational Intelligence in Marketing and Social Sciences (CIMSS 2016)
  In conjunction with WCCI 2016 Vancouver, Canada, July 25-29, 2016
• Scope:

Computational intelligence has a long history of applications to marketing and plays an important role in establishing the interdisciplinary pool of methodologies employed in marketing science research. For example, evolutionary algorithms, artificial neural networks, support vector machines and fuzzy logic have been used in demand forecasting, direct marketing and cross selling, among others. Expert systems have been used for decision support in brand management, and data mining has become a core component of customer relationship management in marketing. Likewise, the use of computational intelligence in social science research allows heightened understanding of the dynamics of complex systems. Agent-based modelling, using agents whose intelligence includes full-blown creativity thanks to their ability to learn and to adapt, is revealing information about such systems that has never before been supported.
The purpose of this special session is to bring together the computational intelligence community as well as researchers from marketing and social sciences to set up visions on how state-of-art computational intelligence techniques can be and are used for insightful marketing and social science analysis, and how marketing and social scientists can contribute in promoting new applications with computational intelligence.

• Important Dates:
  • Full Paper Submission: January 15, 2016
  • Acceptance Notification: March 15, 2016
  • Camera-Ready Papers: April 15, 2016
• More Information:
Download the CIMSS16 Call for Papers in pdf format


• IEEE Computational Intelligence Magazine (CIM) Special Issue on "Computational Forensics"
  COMFOR, February, 2017
• Scope:

For decades, forensic sciences have produced valuable evidence that has contributed to the successful prosecution and conviction of criminals, the exoneration of innocent people, or the identification of cadavers. However, reasoning and deduction are usually performed on the basis of partial knowledge, approximations, uncertainties and conjectures. This fact extremely complicates the forensic daily work, originating wrong conclusions that demonstrate the potential risk of giving undue weight to evidence and testimony derived from imperfect testing and analysis.
Computational Forensics (CF) is an emerging interdisciplinary research domain1. It is understood as the hypothesis-driven investigation of a specific forensic problem using computers, with the primary goal of discovery and advancement of forensic knowledge. When computing capabilities are endowed with human-like intelligence, i. e. Computational Intelligence (CI) techniques, the resulting systems are able to process a large amount of uncertain, imprecise, and incomplete information in a reliable, unbiased, and automatic manner. The development of intelligent systems has attracted significant amount of attention recently from academia, industry, and government as well. Among many efforts toward this objective, CI research could provide important technical innovations to help the society to accomplish this goal.
The specific topics solicited for this special issue will be mainly focused on the new CI methods and techniques for applications in forensic sciences. The CI paradigms considered here are evolutionary computation, neural networks, fuzzy systems, or hybrid approaches of these paradigms.

• Important Dates:
  • Manuscript Submission: May 15, 2016
  • Notification of Review Results: July 15, 2016
  • Submission of Revised Manuscripts: August 19, 2016
  • Submission of Final Manuscripts: September 23, 2016
  • Issue Publication: February 2017
• More Information:
Download the COMFOR Call for Papers in pdf format