Verifying security properties of protocols requires developers to manually create protocol-specific intruder models, which could be tedious and error prone. We present Slede, a ve...
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
The paper describes a conceptual framework for model-driven development based on concise application of UML and modeling tool functionality. A case study of modeling software for l...
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...