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IEEE Intelligent Systems

IEEE Intelligent Systems is a bimonthly peer-reviewed academic journal published by the IEEE Computer Society and sponsored by the Association for… Expand
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Artificial intelligenceComputational humorDistributed multi-agent reasoning systemEuropean Coordinating Committee for Artificial Intelligence
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Papers overview

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Highly Cited
2010
Highly Cited
2010
The Emergence of Intelligent Enterprises: From CPS to CPSS
  • F. Wang
  • IEEE Intelligent Systems
  • 2010
    • Corpus ID: 16997681
When IEEE Intelligent Systems solicited ideas for a new department, cyberphysical systems(CPS) received overwhelming support… Expand
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2009
2009
Ieee Intelligent Systems Kinds of Systems?
Kinds of Systems? Consider the following six systems-related terms. Sociotechnical systems emerged from research at the Tavistock… Expand
2009
2009
From Change Mining to Relevance Feedback: A Unified View on Assessing Rule Interestingness
 
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Highly Cited
2006
Highly Cited
2006
Predicting Affective States expressed through an Emote-Aloud Procedure from AutoTutor's Mixed-Initiative Dialogue
This paper investigates how frequent conversation patterns from a mixed-initiative dialogue with an intelligent tutoring system… Expand
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Highly Cited
2003
Highly Cited
2003
Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images
The central goal of proteomics is to clarify the mechanism by which each protein in a given cell type carries out its function… Expand
Highly Cited
2003
Highly Cited
2003
Multimedia fliers: information sharing with digital community bulletin boards
Community poster boards serve an important community building function. Posted fliers advertise services, events and people's… Expand
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2003
2003
Team Oriented Programming and Proxy Agents: The Next Generation
Coordination between large teams of highly heterogeneous entities will change the way complex goals are pursued in real world… Expand
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Highly Cited
2002
Highly Cited
2002
Discriminative, generative and imitative learning
I propose a common framework that combines three different paradigms in machine learning: generative, discriminative and… Expand
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Highly Cited
2001
Highly Cited
2001
Content Based Retrieval of VRML Objects - An Iterative and Interactive Approach
We examine the problem of searching a database of three dimensional objects given in VRML for objects similar to a given ob ject… Expand
Highly Cited
2000
Highly Cited
2000
Development of an environment for building ontologies which is based on a fundamental consideration of “relationship” and “role”
A methodology of ontology design and a computer system supporting ontology design are needed. Our research goals include a… Expand
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