Francesco Serafino

• PhD
• Lecturer at University of Bari Aldo Moro

Heterogeneous networks are networks consisting of different types of objects and links. They can be found in several fields, ranging from the Internet to social sciences, biology, epidemiology, geography and finance. Several methods have already been proposed for the analysis of network data, but they usually focus on homogeneous networks, where ob...

Heterogeneous information networks consist of different types of objects and links. They can be found in several social, economic and scientific fields, ranging from the Internet to social sciences, including biology, epidemiology, geography, finance and many others. In the literature, several clustering and classification algorithms have been prop...

Heterogeneous information networks are networks consisting of different types of objects and links, and can be found in several social, economical and scientific fields. In the literature, many clustering and classification algorithms have been proposed which work on networks, but they are usually tailored for homogeneous networks or they make stri...

Most of works on text categorization have focused on classifying documents into a set of categories with no relationships among them (flat classification). However, due to the intrinsic structure that can be found in many domains, recent works are focusing on more complex tasks, such as multi-label classification, hierarchical classification and m...