IEEE Computational Intelligence Magazine

Issue 4 • Nov. 2018

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  • Front Cover

    Publication Year: 2018, Page(s): C1
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  • FUZZ-IEEE 2019

    Publication Year: 2018, Page(s): C2
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  • Table of Contents

    Publication Year: 2018, Page(s): 1
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  • CIM Editorial Board

    Publication Year: 2018, Page(s): 2
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  • CIS Sponsored Conferences in 2019 [Editor's Remarks]

    Publication Year: 2018, Page(s): 2
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  • CIS Society Officers

    Publication Year: 2018, Page(s): 3
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  • More Haphazard Thoughts [President's Message]

    Publication Year: 2018, Page(s):3 - 58
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  • Technical Books in Computational Intelligence [Society Briefs]

    Publication Year: 2018, Page(s):5 - 6
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  • Conference Report on 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) [Conference Reports]

    Publication Year: 2018, Page(s):7 - 9
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  • CIS Publication Spotlight [Publication Spotlight]

    Publication Year: 2018, Page(s):10 - 12
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  • Call for Papers for Journal Special Issues

    Publication Year: 2018, Page(s): 12
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  • Computational Intelligence in Finance and Economics [Guest Editorial]

    Publication Year: 2018, Page(s): 13
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  • Market Model Benchmark Suite for Machine Learning Techniques

    Publication Year: 2018, Page(s):14 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1870 KB) | HTML iconHTML

    Recent developments in deep-reinforcement learning have yielded promising results in artificial games and test domains. To explore opportunities and evaluate the performance of these machine learning techniques, various benchmark suites are available, such as the Arcade Learning Environment, rllab, OpenAI Gym, and the StarCraft II Learning Environment. This set of benchmark suites is extended with... View full abstract»

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  • Intelligent Asset Allocation via Market Sentiment Views

    Publication Year: 2018, Page(s):25 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1858 KB) | HTML iconHTML

    The sentiment index of market participants has been extensively used for stock market prediction in recent years. Many financial information vendors also provide it as a service. However, utilizing market sentiment under the asset allocation framework has been rarely discussed. In this article, we investigate the role of market sentiment in an asset allocation problem. We propose to compute sentim... View full abstract»

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  • An Accurate Lattice Model for Pricing Catastrophe Equity Put Under the Jump-Diffusion Process

    Publication Year: 2018, Page(s):35 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1698 KB) | HTML iconHTML

    A catastrophe equity put (CatEPut) is constructed to recapitalize an insurance company that suffers huge compensation payouts due to catastrophic events (CEs). The company can exercise its CatEPut to sell its stock to the counterparty at a predetermined price when its accumulated loss due to CEs exceeds a predetermined threshold and its own stock price falls below the strike price View full abstract»

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  • Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes]

    Publication Year: 2018, Page(s):46 - 58
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  • Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]

    Publication Year: 2018, Page(s):59 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (787 KB) | HTML iconHTML

    Although cross-validation is a standard procedure for performance evaluation, its joint application with oversampling remains an open question for researchers farther from the imbalanced data topic. A frequent experimental flaw is the application of oversampling algorithms to the entire dataset, resulting in biased models and overly-optimistic estimates. View full abstract»

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  • Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier]

    Publication Year: 2018, Page(s):77 - 94
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5395 KB) | HTML iconHTML

    Automatically evolving computer programs to handle challenging computational problems is the main goal of genetic programming. To improve the efficiency of the evolutionary process, a large number of algorithms have been proposed in the literature. View full abstract»

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  • 2019 IEEE Conference on Games (CoG)

    Publication Year: 2018, Page(s): 95
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  • [Conference Calendar]

    Publication Year: 2018, Page(s): 96
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  • IJCNN 2019

    Publication Year: 2018, Page(s): C3
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  • 2019 IEEE Congress on Evolutionary Computation

    Publication Year: 2018, Page(s): C4
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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