- Machine learning with emphasis on ensemble classifiers, classifiers diversity,
data complexity and methods for building consensus from multiple predictions.
- Applications of machine learning in bioinformatics. Facilitating reconstruction
of protein interaction network by predicting not yet observed interactions based
on the available experimental data.
- Characteristics of artificial intelligence and machine learning methods in the
context of cognitive science. Properties shared between artificial and