• Phone : +44 20 8058 4998
  • Email : stem @ stemconferences.com
  •  15 & 16 June 2023
  •  Singapore, Asia

Topics of Conference

The main topics include but will not be limited to: (Excellent surveying works in these areas are welcome, too.)

  • 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
  • Constructions technology economy and management
  • Contracting and Legal Issues
  • Data Sensing and Analysis
  • 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
  • Real-world applications of Intelligent Systems
  • Particle filter
  • 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

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