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BMCBI
2010
143views more  BMCBI 2010»
15 years 1 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
140
Voted
CORR
2010
Springer
177views Education» more  CORR 2010»
15 years 1 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
106
Voted
BMCBI
2006
102views more  BMCBI 2006»
15 years 1 months ago
SNA - a toolbox for the stoichiometric analysis of metabolic networks
Background: Despite recent algorithmic and conceptual progress, the stoichiometric network analysis of large metabolic models remains a computationally challenging problem. Result...
Robert Urbanczik
101
Voted
PERCOM
2007
ACM
15 years 14 days ago
An application adaptation layer for wireless sensor networks
In wireless sensor networks, poor performance or unexpected behavior may be experienced for several reasons, such as trivial deterioration of sensing hardware, unsatisfactory impl...
Marco Avvenuti, Paolo Corsini, Paolo Masci, Alessi...
COMCOM
2011
14 years 8 months ago
Reconstructing social interactions using an unreliable wireless sensor network
In the very active field of complex networks, research advances have largely been stimulated by the availability of empirical data and the increase in computational power needed ...
Adrien Friggeri, Guillaume Chelius, Eric Fleury, A...