HoliDes:Holistic Human Factors and System Design of Adaptive Cooperative Human-Machine Systems
HoliDes addresses development and qualification of Adaptive Cooperative Human-Machine Systems (AdCoS) where many humans and many machines act together, cooperatively, in a highly adaptive way to guarantee fluent and cooperative task achievement.
The project aims at developing a system to control and coordinate unmanned aircraft fleets for monitoring the territory for civils and ambient protection purposes. In particular, the Machine Learning group develops Geosummly a system for generating graphical summaries and tematic maps using data extracted from social media platforms.
Anti Money Laundering
This project aims to develop a system that analyses the bank details of clients subject to investigation as per anti-money laundering legislation.
This project aims at developing an inductive database system for querying large databases produces by a territory monitoring system as well as to build the technology allowing the discovery of anomlies in the data contained therein.
The project, a convention with SERI LAB, aims ad developing a collaborative system for a system that generates discount tickets personalized on the customers past behavior. The system is based on the extraction of latent factors from the matrix correlating customers with their purchases.
Toreador: TrustwOrthy model-awaRE Analytics Data platfORm
The project aims at developing languages and data mining technologies for big data scenarios. The studied techniques are based on parallel calculation with features allowing the easy integration in the user work-flow (starting from data pre-processing up to the validation of the learnt models).