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» Comparison of Centralities for Biological Networks
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SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
15 years 8 months ago
Structure and Dynamics of Research Collaboration in Computer Science.
Complex systems exhibit emergent patterns of behavior at different levels of organization. Powerful network analysis methods, developed in physics and social sciences, have been s...
Andre Nash, Christian Bird, Earl T. Barr, Premkuma...
104
Voted
AR
2008
188views more  AR 2008»
14 years 11 months ago
Intentional Control for Planetary Rover SRR
Intentional behavior is a basic property of intelligence and it incorporates the cyclic operation of prediction, testing by action, sensing, perceiving, and assimilating the exper...
Robert Kozma, Terry Huntsberger, Hrand Aghazarian,...
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
14 years 11 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
103
Voted
MOBIHOC
2007
ACM
15 years 10 months ago
Surviving attacks on disruption-tolerant networks without authentication
Disruption-Tolerant Networks (DTNs) deliver data in network environments composed of intermittently connected nodes. Just as in traditional networks, malicious nodes within a DTN ...
John Burgess, George Dean Bissias, Mark D. Corner,...
BMCBI
2005
127views more  BMCBI 2005»
14 years 11 months ago
Are scale-free networks robust to measurement errors?
Background: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false nega...
Nan Lin, Hongyu Zhao