- Predictive learning methods (theory, implementation, performance evaluation)
- Artificial
neural networks
- Spiking neural networks
- Robust clustering
- Crisp and fuzzy clustering
- Crisp and fuzzy rule extraction
- Prototype-based learning
- Random forests
- Inference and approximation
with graph theoretic methods
- Training neural networks with metaheuristics
- Text mining
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