posted by user: wael_emara || 6283 views || tracked by 31 users: [display]

ICAI 2009 : The International Conference on Artificial Intelligence

FacebookTwitterLinkedInGoogle

Link: http://www.world-academy-of-science.org/worldcomp09/ws/conferences/icai09
 
When Jul 13, 2009 - Jul 16, 2009
Where Las Vegas, Nevada
Submission Deadline Feb 25, 2009
Notification Due Mar 25, 2009
Final Version Due Apr 25, 2009
Categories    artificial intelligence
 

Call For Papers

You are invited to submit a full paper for consideration. All accepted papers will be published in the conference proceedings/book.

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, ...)
The 2009 International 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

Related Resources

ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
ECAI 2020   24th European Conference on Artificial Intelligence
SDAI 2020   EAI International Conference on Social Data and Artificial Intelligence
IWUAS 2020   2020 International Workshop on Unmanned Aircraft Systems (IWUAS 2020)
ISAIR 2020   The 5th International Symposium on Artificial Intelligence and Robotics
ACM-ACAI-Ei/Scopus 2019   2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence
PPSN 2020   Parallel Problem Solving from Nature
ICMV--SPIE, Scopus, Ei Compendex 2019   SPIE--2019 The 12th International Conference on Machine Vision (ICMV 2019)--EI, Scopus and ISI
KEAS 2020   3rd International Conference on Knowledge Economy, Artificial Intelligence & Social Sciences KEAS-May-2020
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G