Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
A large set of tools for network monitoring and accounting, security, traffic analysis and prediction — more broadly, for network operation and management — require direct and...
Loris Degioanni, Mario Baldi, Fulvio Risso, Gianlu...
Abstract. In this paper, we describe an Intelligent Multiagent Infrastructure for Distributed Systems in Education (or I-MINDS) framework that applies an agent-oriented information...
Coalmine gas disaster is one of the severe natural disasters that restrict the safety production of coalmines. Timely monitoring and alarming of coalmine gas is an important part o...
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...