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July 16-19, 2012
22 joint conferences

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ICAI'12 - The 2012 International Conference on Artificial Intelligence

Last modified 2012-01-29 00:21

ICAI'12 is the 14th annual conference




    You are invited to submit a full paper for consideration. All accepted papers will be published in printed conference books/proceedings (they will also be available on the web). The proceedings will be processed for indexing into science citation databases that track citation frequency/data for each paper. These science citation databases include: Inspec / IET / The Institute for Engineering and Technology, CiteSeerX citation index, Google Scholar, Microsoft Academic Search, and other science databases. Like prior years, extended versions of selected papers (about 40%) will appear in journals and edited research books (publishers include: Springer, Elsevier, ...).

    Topics of interest include, but are not limited to, the following:

      • Brain models / cognitive science
      • Natural language processing
      • Fuzzy logic and soft computing
      • Software tools for AI
      • Expert systems
      • Decision support systems
      • Automated problem solving
      • Knowledge discovery
      • Knowledge representation
      • Knowledge acquisition
      • Knowledge-intensive problem solving techniques
      • Knowledge networks and management
      • Intelligent information systems
      • Intelligent data mining and farming
      • Intelligent web-based business
      • Intelligent agents
      • Intelligent networks
      • Intelligent databases
      • Intelligent user interface
      • AI and evolutionary algorithms
      • Intelligent tutoring systems
      • Reasoning strategies
      • Distributed AI algorithms and techniques
      • Distributed AI systems and architectures
      • Neural networks and applications
      • Heuristic searching methods
      • Languages and programming techniques for AI
      • Constraint-based reasoning and constraint programming
      • Intelligent information fusion
      • Learning and adaptive sensor fusion
      • Search and meta-heuristics
      • Multisensor data fusion using neural and fuzzy techniques
      • Integration of AI with other technologies
      • Evaluation of AI tools
      • Social intelligence (markets and computational societies)
      • Social impact of AI
      • Emerging technologies
      • Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition, face recognition, finger print recognition, finance and marketing, stock market, education, emerging applications, ...)
      • Workshop on Machine Learning; Models, Technologies and Applications:
          - General Machine Learning Theory
            • Statistical learning theory
            • Unsupervised and Supervised Learning
            • Multivariate analysis
            • Hierarchical learning models
            • Relational learning models
            • Bayesian methods
            • Meta learning
            • Stochastic optimization
            • Simulated annealing
            • Heuristic optimization techniques
            • Neural networks
            • Reinforcement learning
            • Multi-criteria reinforcement learning
            • General Learning models
            • Multiple hypothesis testing
            • Decision making
            • Markov chain Monte Carlo (MCMC) methods
            • Non-parametric methods
            • Graphical models
            • Gaussian graphical models
            • Bayesian networks
            • Particle filter
            • Cross-Entropy method
            • Ant colony optimization
            • Time series prediction
            • Fuzzy logic and learning
            • Inductive learning and applications
            • Grammatical inference
          - General Graph-based Machine Learning Techniques
            • Graph kernel and graph distance methods
            • Graph-based semi-supervised learning
            • Graph clustering
            • Graph learning based on graph transformations
            • Graph learning based on graph grammars
            • Graph learning based on graph matching
            • General theoretical aspects of graph learning
            • Statistical modeling of graphs
            • Information-theoretical approaches to graphs
            • Motif search
            • Network inference
            • General issues in graph and tree mining
          - Machine Learning Applications
            • Aspects of knowledge structures
            • Computational Finance
            • Computational Intelligence
            • Knowledge acquisition and discovery techniques
            • Induction of document grammars
            • Supervised and unsupervised classification of web data
            • General Structure-based approaches in information retrieval, web authoring, information extraction, and web content mining
            • Latent semantic analysis
            • Aspects of natural language processing
            • Intelligent linguistic
            • Aspects of text technology
            • Computational vision
            • Bioinformatics and computational biology
            • Biostatistics
            • High-throughput data analysis
            • Biological network analysis: protein-protein networks, signaling networks, metabolic networks, transcriptional regulatory networks
            • Graph-based models in biostatistics
            • Computational Neuroscience
            • Computational Chemistry
            • Computational Statistics
            • Systems Biology
            • Algebraic Biology

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All tracks of WORLDCOMP have received high citations
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WORLDCOMP'12 Exhibition
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2012 Co-Sponsors
Bioinformatics & Computational Biology Program
George Mason University, USA

Biomedical Cybernetics Laboratory
HST of Harvard University & MIT, USA

Minnesota Supercomputing Institute
University of Minnesota, USA

Center for Cyber Defense, NCAT

Argonne's Leadership Computing Facility of Argonne National Laboratory
Illinois, USA

The Center for Advanced Studies in Identity Sciences
(CASIS: NC A&T;, Carnegie Mellon, Clemson, UNC Wilmington

Knowledge Management & Intelligent System Center (KMIS)
University of Siegen, Germany

Intelligent Cyberspace Engineering Lab., ICEL
Texas A&M; University, Texas, USA
UMIT, Institute of Bioinformatics and Translational Research

Hawkeye Radiology Informatics
Department of Radiology, College of Medicine, University of Iowa, USA

The International Council on Medical and Care Compunetics
US Chapter of World Academy of Science

Supercomputer Software Department (SSD)
Institute of Computational Mathematics & Mathematical Geophysics, Russian Academy of Sciences

International Society of Intelligent Biological Medicine

Medical Image HPC & Informatics Lab (MiHi Lab)
University of Iowa, USA

High Performance Computing for Nanotechnology (HPCNano)

Manx Telecom

Computer Science Research, Education, and Applications Press;

World Academy of Biomedical Sciences and Technologies

Super Micro Computer, Inc.,
San Jose, California, USA

Intel Corporation

Altera Corporation

Hodges Health

Leading Knowledge

Science Publication


Administered by UCMSS
Universal Conference Management Systems & Support
San Diego, California, USA
Contact: Kaveh Arbtan

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