Alessandro SPERDUTI

E-mail: Use search form
Typology: Faculty
Room: 403, Docente
Web Page:
Telephone: 049 827 1355
Qualification: Professore Straordinario
Research Area: INF/01, Informatica

Research Areas

Research Topics

  • Machine learning, pattern recognition, neural networks and kernel methods for structured data, bioinformatics, learning in games, data and business process mining, QSAR studies, time series prediction, information and document retrieval