Chemoinformatics is a research field concerned with the study of physical or biological molecular properties through computer science’s research fields such as machine learning and graph theory. From this point of view, graph kernels provide a nice framework which allows to naturally combine machine learning and graph theory techniques. Graph kernels based on bags of patterns have proven their ...

Visualizing time-varying call graphs is challenging due to vast amounts of data at many dimensions to be displayed: Hierarchically organized vertices with attributes, directed or undirected edges with weights, and time. In this paper, we introduce a novel overview representation that shows dynamic graphs as a timelineand pixelbased aggregated view targeting the preservation of a viewer’s mental...

In multi-view human body capture systems, the recovered 3D geometry or even the acquired imagery data can be heavily corrupted due to occlusions, noise, limited fieldof-view, etc. Direct estimation of 3D pose, body shape or motion on these low-quality data has been traditionally challenging.In this paper, we present a graph-based non-rigid shape registration framework that can simultaneously re...

The collection of behavior protocols is a common practice in human factors research, but the analysis of these large data sets has always been a tedious and time-consuming process. We are interested in automatically finding canonical behaviors: a small subset of behavioral protocols that is most representative of the full data set, providing a view of the data with as few protocols as possible....

Cognitive diagnosis is a fundamental yet critical research task in the field of intelligent education, which aims to discover proficiency level different students on specific knowledge concepts. Despite effectiveness existing efforts, previous methods always considered mastery whole students, so they still suffer from Long Tail Effect. A large number who have sparse interaction records are usua...

Chemoinformatics is a well established research field concerned with the discovery of molecule’s properties through informational techniques. Computer science’s research fields mainly concerned by chemoinformatics are machine learning and graph theory. From this point of view, graph kernels provide a nice framework combining machine learning graph theory techniques. Such kernels prove their eff...

this short literature review argues that the resource-based view (rbv) school of strategic management has recently become of increased interest to scholars of healthcare organizations. rbv links well to the broader interest in more effective knowledge mobilization (km) in healthcare. the paper outlines and discusses key concepts, texts and authors from the rbv tradition and gives recent example...

the challenge of mobilizing knowledge to improve patient care, population health and ensure effective use of resources is an enduring one in healthcare systems across the world. this commentary reflects on an earlier paper by ferlie and colleagues that proposes the resource-based view (rbv) of the firm as a useful theoretical lens through which to study knowledge mobilization in healthcare. spe...