Abstract. In this conceptual paper, we report on studies and initial definitions of an immune-inspired approach to temporal anomaly detection problems, where there is a strict temp...
Thiago S. Guzella, Tomaz A. Mota-Santos, Walmir M....
Abstract. Formal language learning models have been widely investigated in the last four decades. But it was not until recently that the model of learning from corrections was intr...
Understanding the security goals provided by cryptographic protocol implementations is known to be difficult, since security requirements such as secrecy, integrity and authentici...
Abstract. Understanding and controlling program behavior is a challenging objective for the design of advanced compilers and critical system development. In this paper, we propose ...
Abstract. The authors present a GA optimization technique for cosinebased k-nearest neighbors classification that improves predictive accuracy in a class-balanced manner while sim...
Michael R. Peterson, Travis E. Doom, Michael L. Ra...