Background: Recent technological advances in mass spectrometry pose challenges in computational mathematics and statistics to process the mass spectral data into predictive models...
Michael Wagner, Dayanand N. Naik, Alex Pothen, Sri...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
As HCI is applied in increasingly diverse contexts, it is important to consider situations in which computational or information technologies may be less appropriate. This paper p...
Abstract. Context-Bounded Analysis has emerged as a practical automatic formal analysis technique for fine-grained, shared-memory concurrent software. Two recent papers (in CAV 20...
Energy consumption by computer systems has emerged as an important concern. However, the energy consumed in executing an algorithm cannot be inferred from its performance alone: i...