Process mining techniques use event data to discover process models, to check the conformance of predefined process models, and to extend such models with information about bottl...
Wil M. P. van der Aalst, Arya Adriansyah, Boudewij...
Abstract. Since the first emergence of protein-protein interaction networks, more than a decade ago, they have been viewed as static scaffolds of the signaling-regulatory events ...
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
The growing complexity of hardware optimizations employed by multiprocessors leads to subtle distinctions among allowed and disallowed behaviors, posing challenges in specifying th...
Sela Mador-Haim, Luc Maranget, Susmit Sarkar, Kayv...