ICAIA 2019

Call for Papers

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