Artificial Intelligence

  • knowledge discovery, representation, and management
  • automated reasoning, uncertain reasoning, and constraint strategies
  • recommender and expert systems
  • intelligent systems, agents, and networks
  • agent-based complex systems
  • AI-based systems for scientific computing
  • machine learning – including deep learning models and technologies
  • explainable and trustworthy AI
  • information retrieval, data mining, text mining and web mining
  • computational intelligence – including fuzzy, neural and evolutionary computing
  • AI applications: natural language processing, computer vision, signal processing, stock market, computational neuroscience, robotics, autonomous vehicles, medical diagnosis, cybersecurity, digital design, online education

Track Chairs:

  • Marko Robnik-Sikonja, University of Ljubljana, Slovenia
  • Andrei Petrovski, Robert Gordon University, UK
  • Daniela Zaharie, West University of Timisoara, Romania