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CSB
2005
IEEE
156views Bioinformatics» more  CSB 2005»
16 years 19 days ago
A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
185
Voted
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 16 days ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
174
Voted
INFOCOM
2003
IEEE
16 years 9 days ago
Robust Location Detection in Emergency Sensor Networks
— We propose a new framework for providing robust location detection in emergency response systems, based on the theory of identifying codes. The key idea of this approach is to ...
Saikat Ray, Rachanee Ungrangsi, Francesco De Pelle...
148
Voted
CSFW
2010
IEEE
15 years 11 months ago
Robustness Guarantees for Anonymity
—Anonymous communication protocols must achieve two seemingly contradictory goals: privacy (informally, they must guarantee the anonymity of the parties that send/receive informa...
Gilles Barthe, Alejandro Hevia, Zhengqin Luo, Tama...
199
Voted
DAGM
2006
Springer
15 years 10 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...