International Conference on Artificial Intelligence and Application (AIA 2018)

Topics

• Algebraic Biology
• AI and evolutionary algorithms
• Applications in Bioinformatics
• Ant colony optimization
• Architectures of intelligent systems
• Approximate Reasoning
• Aspects of natural language processing
• Aspects of knowledge structures
• Automated problem solving
• Aspects of text technology
• Bioinformatics and computational biology
• Bayesian methods
• Biostatistics
• Biological network analysis
• Combining multiple knowledge sources in an integrated intelligent system
• Brain models / cognitive science
• Constraint-based reasoning and constraint programming
• Computational Science
• Data Mining
• Cross-Entropy method
• Distributed AI algorithms and techniques
• Decision support systems
• Evaluation of AI tools
• Emerging technologies
• Expert systems
• Evolutionary Computation
• Gaussian graphical models
• Fuzzy logic, modeling, control and soft computing
• Grammatical inference
• General issues in graph and tree mining
• Graph learning based on graph grammars
• Granular Computing
• Hierarchical learning models
• Heuristic optimization techniques
• Hybrid Intelligent Systems
• High-throughput data analysis
• Inductive learning and applications
• Image processing and understanding (interpretation)
• Integration of AI with other technologies
• Information-theoretical approaches to graphs
• Intelligent databases
• Intelligent agents
• Knowledge acquisition and discovery techniques
• Intelligent information fusion
• Knowledge-intensive problem solving techniques
• Knowledge networks and management
• Learning and adaptive sensor fusion
• Languages and programming techniques for AI
• Markov chain Monte Carlo (MCMC) methods
• Machine learning
• Motif search
• Meta learning
• Multiple hypothesis testing
• Multi-criteria reinforcement learning
• Natural language processing
• Multisensor data fusion using neural and fuzzy techniques
• Neural networks and applications
• Nature Inspired Methods
• Particle filter
• Non-parametric methods
• Reasoning strategies
• Real-world applications of Intelligent Systems
• Robotics
• Reinforcement learning
• Simulated annealing
• Search and meta-heuristics
• Statistical learning theory
• Social intelligence (markets and computational societies)
• Supervised and unsupervised classification of web data
• Stochastic optimization
• Topics on satisfiability
• Time series prediction
• Web Mining
• Unsupervised and Supervised Learning

Who should Attend

Attendees from all countries