SEMPRE CRESCE, QUEM COOPERA?

Sempre: Secure Multicast Architecture Using Proxy Re-encryption

The goal of a secure multicast communication environment is to ensure that only valid members belonging to the multicast group can decrypt data. A simple solution adopted by many previous studies is to use a “group key” that is shared by all group members. The sender uses the group key to encrypt the multicast data, and the receivers decrypt the data with the same key. However, the procedure ma...

An Achievement Test for Knowledge-Based Systems: QUEM

This paper describes QUEM, a method for assessing the skill level of a knowledge-based system based on the quality of the solutions it produces. QUEM is demonstrated by using it to assess the performance of a particular knowledge-based system, P. QUEM can be viewed as an achievement or job placement test given to know ledge-based systems to help system designers determine how the system should ...

QUEM: An Achievement Test for Knowledge-Based Systems

This paper describes the QUality and Experience Metric (QUEM), a method for estimating the skill level of a knowledgebased system based on the quality of the solutions it produces. It allows one to assess how many years of experience the system would be judged to have if it were a human by providing a quantitative measure of the system’s overall competence. QUEM can be viewed as a type of achie...

Quem somos nós: os Wari ́ encontram os Brancos

D-Sempre: Learning Deep Semantic-Preserving Embeddings for User interests-Social Contents Modeling

Exponential growth of social media consumption demands e‚ective user interests-social contents modeling for more personalized recommendation and social media summarization. However, due to the heterogeneous nature of social contents, traditional approaches lack the ability of capturing the hidden semantic correlations across these multi-modal data, which leads to semantic gaps between social co...