Intelligent systems are already being deployed in several fields (eg, medicine, education,
automation, or legal), providing relevant tools to assist in our daily tasks. It is claimed that the …

This paper presents an interoperability architecture that allows different educational institutions
to share their learning object repositories, in order to create courses using Learning …

In this paper, we present a new, simple and efficient calibration procedure that uses both the
short and long-term behavior of the Heston model in a coherent fashion. Using a suitable …

… Informática e Estatística, Universidade Federal de Santa Catarina, Trindade, Florianópolis,
SC, Brazil, 88040-900; emails: evandro.crr@posgrad.ufsc.br, r.santiago@ufsc.br. Publication …

… , and through a set of parameters is defined the number of layers, the … de locutor usando
modelos de misturas de gaussianas. Master’s thesis, Escola Politécnica, Universidade de …

Modularity Density Maximization (MDM) is associated with clustering problems in networks.
MDM is an alternative to the resolution limit issue of the Modularity Maximization problem. …

Portfolios can be optimized in a wide variety of ways, depending on the definition of risk and
the goal stated. Although the traditional criterion of maximizing a portfolio’s Sharpe ratio …

The task of detecting deception has a long history since using the polygraph. In contrast, spot
deception in conversational speech has been proved to be a current complex challenge. …

… For the Modularity Density Maximization, we used a branch-and-price method for the CGI
+ ILS version of de Santiago and Lamb (2017). We chose to do so because it is the fastest …

AI systems have been playing a crucial role in many different fields of study. Even though
connectionist methods, more precisely deep neural networks, are more prevalent nowadays, …