Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
The agent-oriented modeling process is divided in a typical sequence of activities, i.e., requirements specification, analysis, and design. The requirements are specified by des...
This paper describes an initiative to improve software acquisition process in Brazil. This initiative was conducted in the context of the MPS.BR Program, a nationwide effort to de...
Kival Chaves Weber, Eratostenes Edson Ramalho de A...
In the present work we address the problem of phone duration modeling for the needs of emotional speech synthesis. Specifically, relying on ten well known machine learning techniqu...
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...