Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
—While many attacks are distributed across botnets, investigators and network operators have recently identified malicious networks through high profile autonomous system (AS) ...
Abstract. Recently, a number of authors have explored the use of recursive recursive neural nets (RNN) for the adaptive processing of trees or tree-like structures. One of the most...
We investigate the application of the software bounded model checking tool CBMC to the domain of wireless sensor networks (WSNs). We automatically generate a software behavior mode...