Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
This paper adopts the idea of using knowledge gained by various validation sessions over time with a validation technology developed previously. The work is designed to reduce the...
Abstract. Synthesis of digital signal processing (DSP) software from dataflow-based formal models is an effective approach for tackling the complexity of modern DSP applications. I...
Ming-Yung Ko, Praveen K. Murthy, Shuvra S. Bhattac...
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
: This contribution discusses the application of Petri nets for modeling workflow in healthcare based on a normative language approach. After a brief inon, a framework of different...