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WWW
2010
ACM
15 years 10 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney
GECCO
2009
Springer
152views Optimization» more  GECCO 2009»
15 years 10 months ago
Application of evolutionary algorithms in detection of SIP based flooding attacks
The Session Initiation Protocol (SIP) is the de facto standard for user’s session control in the next generation Voice over Internet Protocol (VoIP) networks based on the IP Mul...
M. Ali Akbar, Muddassar Farooq
CVPR
2009
IEEE
16 years 10 months ago
Automated Feature Extraction for Early Detection of Diabetic Retinopathy in Fundus Images
Automated detection of lesions in retinal images can assist in early diagnosis and screening of a common disease: Diabetic Retinopathy. A robust and computationally efficient ap...
Saiprasad Ravishankar (University of Illinois Urba...
157
Voted
IJBRA
2010
134views more  IJBRA 2010»
15 years 2 months ago
Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks
—Accumulating evidence suggests that biological systems exhibit modular organization. Accurate identification of modularity is vital for understanding this organization. A recen...
Roger L. Chang, Feng Luo, Stuart Johnson, Richard ...
118
Voted
AAAI
1998
15 years 4 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore