Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
— Model-driven engineering (MDE) techniques are increasingly being used to address many of the development and operational lifecycle concerns of large-scale component-based syste...
Background: DopaNet http://www.dopanet.org is a Systems Biology initiative that aims to investigate precisely and quantitatively all the aspects of neurotransmission in a specific...
: SIMD arrays are likely to become increasingly important as coprocessors in domain specific systems as architects continue to leverage RAM technology in their design. The problem ...
Martin C. Herbordt, Jade Cravy, Renoy Sam, Owais K...