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Important Date
July 12-15, 2010
22 joint conferences

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ICAI'10 - The 2010 International Conference on Artificial Intelligence

Last modified 2010-01-18 21:20

ICAI'10 is the 12th annual conference




    You are invited to submit a full paper for consideration. All accepted papers will be published in the ICAI conference proceedings (in printed book form; later, the proceedings will also be accessible online). Those interested in proposing workshops/sessions, should refer to the relevant sections that appear below.

    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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Academic Co-Sponsors
The Berkeley Initiative in Soft Computing (BISC)
University of California, Berkeley, USA

Collaboratory for Advanced Computing and Simulations (CACS)
University of Southern California, USA

Intelligent Data Exploration and Analysis Laboratory
University of Texas at Austin, Austin, Texas, USA

Harvard Statistics Department Genomics & Bioinformatics Laboratory
Harvard University, Cambridge, Massachusetts, USA

BioMedical Informatics & Bio-Imaging Laboratory
Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA

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

Minnesota Supercomputing Institute
University of Minnesota, USA

Center for the Bioinformatics and Computational Genomics
Georgia Institute of Technology, Atlanta, Georgia, USA

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

The University of North Dakota
Grand Forks, North Dakota, USA

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

UMIT, Institute of Bioinformatics and Translational Research, Austria
SECLAB of University of Naples Federico II
University of Naples Parthenope, & Second University of Naples, Italy

National Institute for Health Research
World Academy of Biomedical Sciences and Technologies
High Performance Computing for Nanotechnology (HPCNano)
Supercomputer Software Department (SSD), Institute of Computational Mathematics & Mathematical Geophysics, Russian Academy of Sciences

International Society of Intelligent Biological Medicine

The International Council on Medical and Care Compunetics

The UK Department for Business, Innovation and Skills

VMW Solutions Ltd.
Scientific Technologies Corporation
HoIP - Health without Boundaries

Space for Earth Foundation
Medical Modeling and Simulation Database (EVMS) of Eastern Virginia Medical School & the American College of Surgeons

Corporate Sponsor

Other Co-Sponsors
Manjrasoft (Cloud Computing Technology company), Melbourne, Australia

Hodges' Health


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

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