The group has
experience in Artificial Intelligence methodologies, ranging from Computational
Intelligence to Machine Learning approaches such as Neural Networks, Deep Learning, Probabilistic Learning, Signal and Image processing, and other Pattern
Recognition techniques, with a scientific international leadership in topics for learning
in structured domains (sequences, trees and graphs).
This knowledge led to the development of new methodologies which have
been exploited for the design of successful systems in different (interdisciplinary) application domains.
The CIML group runs the NeuroLab research laboratory, hosting working positions for undergraduate students and research assistants.