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
