Abstract. We describe a dynamic data-driven methodology that is capable of simultaneously determining both the parameters of a constitutive model associated with the response of a ...
Background: Prediction of bacterial virulent protein sequences has implications for identification and characterization of novel virulence-associated factors, finding novel drug/v...
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
ion levels. The framework also supports the generation of test constraints, which can be satisfied using a constraint solver to generate tests. A compositional verification approac...
We propose a unifying framework for model-based specification notations. Our framework captures the execution semantics that are common among model-based notations, and leaves the...