We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
—Existing methods for spatial joins require pre-existing spatial indices or other precomputation, but such approaches are inefficient and limited in generality. Operand data sets...
Motivated by improvements in constraint-solving technology and by the increase of routinely available computational power, partial-program synthesis is emerging as an effective a...
Code coverage is a common aid in the testing process. It is generally used for marking the source code segments that were executed and, more importantly, those that were not execu...
Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pel...
Background: Liquid chromatography coupled to mass spectrometry (LC-MS) has become a prominent tool for the analysis of complex proteomics and metabolomics samples. In many applica...
Eva Lange, Ralf Tautenhahn, Steffen Neumann, Cleme...