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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… 
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Artificial intelligenceComputational humorDistributed multi-agent reasoning systemEuropean Coordinating Committee for Artificial Intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
25 Years of Collaborations in IEEE Intelligent Systems
This article looks at IEEE Intelligent Systems' 25-year history and studies the evolution of scientific collaboration among IS… 
Highly Cited
2010
Highly Cited
2010
The Emergence of Intelligent Enterprises: From CPS to CPSS
When IEEE Intelligent Systems solicited ideas for a new department, cyberphysical systems(CPS) received overwhelming support… 
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… 
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… 
2003
2003
Les langages du web sémantique
La manipulation des resources du web par des machines requiert l'expression ou la description de ces resources. Plusieurs… 
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… 
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… 
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… 
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… 
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… 
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