Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
We present a scheme to steganographically embed information in x86 program binaries. We define sets of functionally-equivalent instructions, and use a key-derived selection proces...
Given the high cost of producing software, development of technology for prevention of software piracy is important for the software industry. In this paper we present a novel app...
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...