IEEE Computational Intelligence Magazine

Volume 11 Issue 3 • Aug. 2016

Filter Results

Displaying Results 1 - 20 of 20
  • Front Cover

    Publication Year: 2016, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (1060 KB)
    Freely Available from IEEE
  • New Journal Title

    Publication Year: 2016, Page(s): C2
    Request permission for commercial reuse | PDF file iconPDF (1171 KB)
    Freely Available from IEEE
  • Table of Contents

    Publication Year: 2016, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (1171 KB)
    Freely Available from IEEE
  • CIM Editorial Board

    Publication Year: 2016, Page(s): 2
    Request permission for commercial reuse | PDF file iconPDF (350 KB)
    Freely Available from IEEE
  • Power of a Single Photo in the Big Data Era [Editor's Remarks]

    Publication Year: 2016, Page(s): 2
    Request permission for commercial reuse | PDF file iconPDF (350 KB) | HTML iconHTML
    Freely Available from IEEE
  • Frontiers of Knowledge in Computational Intelligence [President's Message]

    Publication Year: 2016, Page(s):3 - 9
    Request permission for commercial reuse | PDF file iconPDF (387 KB) | HTML iconHTML
    Freely Available from IEEE
  • CIS Society Officers

    Publication Year: 2016, Page(s): 3
    Request permission for commercial reuse | PDF file iconPDF (190 KB)
    Freely Available from IEEE
  • Conference Report on 2015 IEEE Conference on Computational Intelligence and Games (IEEE CIG 2015) [Conference Reports]

    Publication Year: 2016, Page(s):4 - 5
    Request permission for commercial reuse | PDF file iconPDF (1077 KB)
    Freely Available from IEEE
  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2016, Page(s):6 - 75
    Request permission for commercial reuse | PDF file iconPDF (481 KB) | HTML iconHTML
    Freely Available from IEEE
  • Computational Intelligence for Big Social Data Analysis [Guest Editorial]

    Publication Year: 2016, Page(s):8 - 9
    Cited by:  Papers (4)
    Request permission for commercial reuse | PDF file iconPDF (237 KB) | HTML iconHTML
    Freely Available from IEEE
  • Leveraging Cross-Domain Social Media Analytics to Understand TV Topics Popularity

    Publication Year: 2016, Page(s):10 - 21
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2413 KB) | HTML iconHTML

    The way we watch television is changing with the introduction of attractive Web activities that move users away from TV to other media. The social multimedia and user-generated contents are dramatically changing all phases of the value chain of contents (production, distribution and consumption). We propose a concept-level integration framework in which users' activities on different social media ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An Efficient Memetic Algorithm for Influence Maximization in Social Networks

    Publication Year: 2016, Page(s):22 - 33
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2416 KB) | HTML iconHTML

    Influence maximization is to extract a small set of nodes from a social network which influences the propagation maximally under a cascade model. In this paper, we propose a memetic algorithm for community-based influence maximization in social networks. The proposed memetic algorithm optimizes the 2-hop influence spread to find the most influential nodes. Problem-specific population initializatio... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Learning User and Product Distributed Representations Using a Sequence Model for Sentiment Analysis

    Publication Year: 2016, Page(s):34 - 44
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1633 KB) | HTML iconHTML

    In product reviews, it is observed that the distribution of polarity ratings over reviews written by different users or evaluated based on different products are often skewed in the real world. As such, incorporating user and product information would be helpful for the task of sentiment classification of reviews. However, existing approaches ignored the temporal nature of reviews posted by the sa... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Statistical Learning Theory and ELM for Big Social Data Analysis

    Publication Year: 2016, Page(s):45 - 55
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1914 KB) | HTML iconHTML

    The science of opinion analysis based on data from social networks and other forms of mass media has garnered the interest of the scientific community and the business world. Dealing with the increasing amount of information present on the Web is a critical task and requires efficient models developed by the emerging field of sentiment analysis. To this end, current research proposes an efficient ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Collaborative Brain-Computer Interface for People with Motor Disabilities [Research Frontier]

    Publication Year: 2016, Page(s):56 - 66
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1523 KB) | HTML iconHTML

    This research investigates the effects of collaboration mode, luminance contrast and motor disability on task performance, brain activity and satisfaction of users with motor disabilities who performed a robot control task using a collaborative brain-computer interface (C-BCI) based on steady-state visually evoked potentials (SSVEPs). Users can perform the task by himself/herself (individual mode)... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Human vs. Computer Go: Review and Prospect [Discussion Forum]

    Publication Year: 2016, Page(s):67 - 72
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2761 KB) | HTML iconHTML

    The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development. This article discusses the development of computational intelligence (CI) and its relative strength in comparison with human intelligence for the game of Go. We first summarize the milestones achieved for computer Go from 1998 to 2016. Then, the computer Go programs that have participated in p... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • IEEE CIBCB 2017

    Publication Year: 2016, Page(s): 73
    Request permission for commercial reuse | PDF file iconPDF (2761 KB)
    Freely Available from IEEE
  • [Conference Calendar]

    Publication Year: 2016, Page(s):74 - 75
    Request permission for commercial reuse | PDF file iconPDF (381 KB)
    Freely Available from IEEE
  • IEEE WCCI 2018

    Publication Year: 2016, Page(s): C3
    Request permission for commercial reuse | PDF file iconPDF (6013 KB)
    Freely Available from IEEE
  • DSAA2017 at TOKYO

    Publication Year: 2016, Page(s): C4
    Request permission for commercial reuse | PDF file iconPDF (6013 KB)
    Freely Available from IEEE

Aims & Scope

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS).

Full Aims & Scope