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ESANN
2006
15 years 4 months ago
Neural networks and machine learning in bioinformatics - theory and applications
Bioinformatics is a promising and innovative research field. Despite of a high number of techniques specifically dedicated to bioinformatics problems as well as many successful app...
Udo Seiffert, Barbara Hammer, Samuel Kaski, Thomas...
125
Voted
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 4 months ago
The directional EDA for global optimization
This article presents a robust EDA for global optimization with real parameters. The approach is based on the linear combination of individuals of two populations. One is the curr...
Pedro P. Mayorga-Alvarez, Arturo Hernández ...
SIGCSE
2008
ACM
116views Education» more  SIGCSE 2008»
15 years 3 months ago
Evaluating a breadth-first cs 1 for scientists
This paper presents a thorough evaluation of CS for Scientists, a CS 1 course designed to provide future scientists with an overview of the discipline. The course takes a breadth-...
Zachary Dodds, Ran Libeskind-Hadas, Christine Alva...
BMCBI
2002
75views more  BMCBI 2002»
15 years 3 months ago
Quantifying robustness of biochemical network models
Background: Robustness of mathematical models of biochemical networks is important for validation purposes and can be used as a means of selecting between different competing mode...
Lan Ma, Pablo A. Iglesias
108
Voted
TSE
2002
88views more  TSE 2002»
15 years 3 months ago
An Operational Process for Goal-Driven Definition of Measures
We propose an approach (GQM/MEDEA) for defining measures of product attributes in software engineering. The approach is driven by the experimental goals of measurement, expressed v...
Lionel C. Briand, Sandro Morasca, Victor R. Basili