IEEE Intelligent Systems

Issue 4 • July-Aug. 2016

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Displaying Results 1 - 15 of 15
  • Front Cover 
  • Front Cover

    Publication Year: 2016, Page(s): c1
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  • House Advertisement 
  • Rock Stars of Big Data

    Publication Year: 2016, Page(s): c2
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  • Table of Contents 
  • Table of Contents

    Publication Year: 2016, Page(s):1 - 2
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  • Expert Opinion 
  • Computer-Aided Discovery: Toward Scientific Insight Generation with Machine Support

    Publication Year: 2016, Page(s):3 - 10
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (825 KB) | HTML iconHTML

    The process of scientific discovery is traditionally assumed to be entirely executed by humans. This article highlights how increasing data volumes and human cognitive limits are challenging this traditional assumption. Relevant examples are found in observational astronomy and geoscience, disciplines that are undergoing transformation due to growing networks of space-based and ground-based sensor... View full abstract»

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  • User Interfaces 
  • Semantics-Based Intelligent Human-Computer Interaction

    Publication Year: 2016, Page(s):11 - 21
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (2444 KB) | HTML iconHTML

    A recent trend in human-computer interaction is to ease the creation of content such as apps and games via intelligent systems, allowing nonskilled users to define a given system's behavior through visual programming or simplified metalanguages. However, when the number of elements to be controlled increases, the complexity could become comparable to that of traditional coding strategies. This art... View full abstract»

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  • Machine Learning 
  • Minimizing Fatigue Damage in Aircraft Structures

    Publication Year: 2016, Page(s):22 - 29
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (870 KB) | HTML iconHTML

    Aircraft structural health monitoring (SHM) refers to a process in which sensors assess the current (and predict the future) state of a structure in terms of its aging and deterioration to assure users or operators of its safety and performance. In addition to preventing failures, SHM extends aircraft life cycles. Consequently, adopting SHM is strongly motivated not only by flight safety but also ... View full abstract»

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  • Logic 
  • Satisfiability Degree Analysis and Deductive Reasoning

    Publication Year: 2016, Page(s):30 - 42
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (830 KB) | HTML iconHTML

    There are many situations that common logic models aren't capable of representing, so nonclassical logic systems have emerged to compensate for their inability to express uncertainty. This article introduces the satisfiability degree for propositional logic. It's a new means of describing the extent to which a proposition is satisfied, and it employs deterministic logic rather than probabilistic o... View full abstract»

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  • Feedback 
  • Transfer Learning for Heterogeneous One-Class Collaborative Filtering

    Publication Year: 2016, Page(s):43 - 49
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (535 KB) | HTML iconHTML

    Various memory- and model-based collaborative filtering algorithms have been designed for multiclass feedback (such as grade scores) in the past two decades. Recently, one-class feedback (such as positive feedback and implicit examination) has been recognized as a more pervasive and important source of information in many real recommendation systems. Previous work along these lines mainly focus on... View full abstract»

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  • Human-Centered Computing 
  • Expertise: A Second Look

    Publication Year: 2016, Page(s):50 - 55
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (309 KB) | HTML iconHTML

    Deliberate practice is an important factor in the achievement of expertise, but there are individual difference factors, such as working memory. Proficiency scaling--for knowledge capture or training design--must use empirical methods and performance measures to generate proficiency scales spanning novice, apprentice, journeyman, and expert levels and sublevels. If expertise is defined solely in t... View full abstract»

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  • AI and Sustainability 
  • Recent Advances in AI for Computational Sustainability

    Publication Year: 2016, Page(s):56 - 61
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (780 KB) | HTML iconHTML

    This column surveys selected papers in computational sustainability from the 30th AAAI Conference on Artificial Intelligence. View full abstract»

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  • Affective Computing and Sentiment Analysis 
  • What Men Say, What Women Hear: Finding Gender-Specific Meaning Shades

    Publication Year: 2016, Page(s):62 - 67
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (965 KB) | HTML iconHTML

    The authors examine the problem of gender discrimination and attempt to move beyond the typical surface-level text classification approach by identifying differences between genders in the ways they use the same words. They present several experiments using data from a large collection of blogs authored by men and women, and they report results for a new task of "gender-based word disambiguation" ... View full abstract»

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  • Intelligent Transportation Systems 
  • Design of a Multiagent System for Real-Time Traffic Control

    Publication Year: 2016, Page(s):68 - 80
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (1747 KB) | HTML iconHTML

    This article describes the various steps to analyze and design a multiagent system for real-time traffic control at isolated intersections. The control strategies for traffic signals are important because they impact the economy, environment, and society and also affect freight transport, which many researchers have studied over the years. The research community has focused on the optimization of ... View full abstract»

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  • AI Innovation in Industry 
  • Ethics for Big Data and Analytics

    Publication Year: 2016, Page(s):81 - 84
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (541 KB) | HTML iconHTML

    This article investigates some issues associated with Big Data and analytics (Big Data) and ethics, examining how Big Data ethics are different than computer ethics and other more general ethical frameworks. In so doing, the author briefly investigates some of the previous research in "computer ethics," reviews some codes of ethics, analyzes the application of two frameworks on ethics to Big Data,... View full abstract»

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  • Back Covers 
  • IEEE Computer Society

    Publication Year: 2016, Page(s): c3
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  • IEEE Computer Society: Be at the Center of It All

    Publication Year: 2016, Page(s): c4
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Aims & Scope

IEEE Intelligent Systems serves users, managers, developers, researchers, and purchasers who are interested in intelligent systems and artificial intelligence, with particular emphasis on applications.

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Meet Our Editors

Editor-in-Chief
Daniel Zeng
University of Arizona