This paper presents two contributions: A set of routines that manipulate instances of stochastic programming problems in order to make them more amenable for different solution ap...
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
Abstract: Our goal is to develop accurate electrostatic models that can be implemented in current computational protein design protocols. To this end, we improve upon a previously ...
Christina L. Vizcarra, Naigong Zhang, Shannon A. M...
In the work presented here, we introduce a method to automatically generate a subset of a UML class model based on a user-defined criterion. The goal of this work is to allow us to...
Huzefa H. Kagdi, Jonathan I. Maletic, Andrew Sutto...
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...