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» On Randomness Measures for Social Networks.
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BMCBI
2010
176views more  BMCBI 2010»
15 years 6 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
SIGSOFT
2008
ACM
16 years 7 months ago
Can developer-module networks predict failures?
Software teams should follow a well defined goal and keep their work focused. Work fragmentation is bad for efficiency and quality. In this paper we empirically investigate the re...
Martin Pinzger, Nachiappan Nagappan, Brendan Murph...
FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
16 years 23 days ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
CHI
2010
ACM
16 years 1 months ago
Experience in social affective applications: methodologies and case study
New forms of social affective applications are emerging, bringing with them challenges in design and evaluation. We report on one such application, conveying wellbeing for both pe...
Paul André, m. c. schraefel, Alan J. Dix, R...
ICASSP
2009
IEEE
15 years 4 months ago
Social correlates of turn-taking behavior
The goal of this research is to infer traits about groups of people from their turn-taking behavior in natural conversation. These traits are latent attributes in a social network...
John Grothendieck, Allen L. Gorin, Nash M. Borges