IEEE Intelligent Systems

Issue 3 • May./Jun. 2018

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Displaying Results 1 - 18 of 18
  • Front Cover

    Publication Year: 2018, Page(s): c1
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  • Sustainable Computing Ad

    Publication Year: 2018, Page(s): c2
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  • Masthead 
  • Masthead

    Publication Year: 2018, Page(s): 1
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  • Table of Contents 
  • Table of Contents

    Publication Year: 2018, Page(s):2 - 3
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  • Summarization of Things 
  • Ensemble Algorithms for Microblog Summarization

    Publication Year: 2018, Page(s):4 - 14
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (343 KB) | HTML iconHTML

    We investigate whether off-the-shelf summarization algorithms can be combined to produce better quality summaries. To this end, we propose ensemble schemes that can combine the outputs of multiple base summarization algorithms, to produce summaries better than what is generated by any of the base algorithms. View full abstract»

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  • Feature Articles 
  • Building a Globally Optimized Computational Intelligent Image Processing Algorithm for On-Site Inference of Nitrogen in Plants

    Publication Year: 2018, Page(s):15 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (668 KB) | HTML iconHTML

    Estimating nutrient content in plants is a crucial task in the application of precision farming. This work will be more challenging if it is conducted nondestructively based on plant images captured in the field due to the variation of lighting conditions. This paper proposes a computational intelligence image processing to analyze nitrogen status in wheat plants. We developed an ensemble of deep ... View full abstract»

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  • Harlan Mills Award Ad

    Publication Year: 2018, Page(s): 27
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  • Feature Articles 
  • Increasing Reliability of Fault Detection Systems for Industrial Applications

    Publication Year: 2018, Page(s):28 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (566 KB) | HTML iconHTML

    There is an increasing need of advanced fault detection (FD) systems that can provide early warning of developing abnormalities in industrial systems. Plant measurements are often corrupted by noise, errors, and other disturbances. The equipment in the plant is subject to wear and minor changes that lead to drift in plant measurements. This causes false alarms and misdiagnoses, which reduce confid... View full abstract»

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    Publication Year: 2018, Page(s): 40
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  • Trends and Controversies 
  • Trends and Controversies

    Publication Year: 2018, Page(s):41 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1087 KB) | HTML iconHTML

    Performing covert biometric recognition in surveillance environments has been regarded as a grand challenge, considering the adversity of the conditions where recognition should be carried out (e.g., poor resolution, bad lighting, off-pose and partially occluded data). This special issue compiles a group of approaches to this problem. View full abstract»

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  • Letters of the Computer Society Ad

    Publication Year: 2018, Page(s): 68
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  • Internet of Things 
  • Next-Generation Smart Environments: From System of Systems to Data Ecosystems

    Publication Year: 2018, Page(s):69 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    Digital transformation is driving a new wave of large-scale data-rich smart environments with data on every aspect of our world. The resulting data ecosystems present new challenges and opportunities in the design of intelligent systems and system of systems. View full abstract»

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  • Affective Computing and Sentiment Analysis 
  • OntoSenticNet: A Commonsense Ontology for Sentiment Analysis

    Publication Year: 2018, Page(s):77 - 85
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (527 KB) | HTML iconHTML

    In this work, we present OntoSenticNet, a commonsense ontology for sentiment analysis based on SenticNet, a semantic network of 100,000 concepts based on conceptual primitives. The key characteristics of OntoSenticNet are: (i) the definition of precise conceptual hierarchy and properties associating concepts and sentiment values; (ii) the support for connecting external information (e.g., word emb... View full abstract»

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    Publication Year: 2018, Page(s): 86
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  • Human-Centered Computing 
  • Explaining Explanation, Part 4: A Deep Dive on Deep Nets

    Publication Year: 2018, Page(s):87 - 95
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1145 KB) | HTML iconHTML

    This is the fourth in a series of essays about explainable AI. Previous essays laid out the theoretical and empirical foundations. This essay focuses on Deep Nets, and con-siders methods for allowing system users to generate self-explanations. This is accomplished by exploring how the Deep Net systems perform when they are operating at their boundary conditions. Inspired by recent research into ad... View full abstract»

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  • Babbage Award Ad

    Publication Year: 2018, Page(s): 96
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  • CS Information 
  • CS Information

    Publication Year: 2018, Page(s): c3
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  • Membership Skill Choice Ad

    Publication Year: 2018, 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
VS Subrahmanian
Dartmouth College
vs@dartmouth.edu