Machine Learning and Optimization

Scientific research of our group focuses on the development of modern algorithms of artificial intelligence. We are particularly interested in methods of machine learning and optimization using nature-inspired metaheuristics. More detailed areas of our research are:

• Deep learning and neural networks
• Face recognition with local patterns
• Ensemble classification
• Evolutionary and memetic computation
• Multiobjective optimization
• Game theory in machine learning and optimization
• Fuzzy methods for time series analysis
• Data intensive computing