Context-bounded analysis is an attractive approach to verification of concurrent programs. Bounding the number of contexts executed per thread not only reduces the asymptotic compl...
Shuvendu K. Lahiri, Shaz Qadeer, Zvonimir Rakamari...
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...
Negative Bias Temperature Instability (NBTI) has been identified as a major and critical reliability issue for PMOS devices in nano-scale designs. It manifests as a negative thres...
Kewal K. Saluja, Shriram Vijayakumar, Warin Sootka...
We present an efficient implementation of an approximate balanced truncation model reduction technique for general large-scale RLC systems, described by a statespace model where t...