Although significant progress has been made toward effective insight discovery in visual sense making approaches, there is a lack of effective and efficient approaches to manage t...
Background: Current scoring functions are not very successful in protein-ligand binding affinity prediction albeit their popularity in structure-based drug designs. Here, we propo...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
— In the paper, we consider the problem of distributing large-size content to a fixed set of nodes. In contrast with the most existing end-system solutions to this problem, Fast...
This paper presents a framework for indoor location prediction system using multiple wireless signals available freely in public or office spaces. We first proabstract architectur...