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» Using a neural network in the software testing process
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156
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CEC
2009
IEEE
15 years 10 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
118
Voted
LREC
2008
128views Education» more  LREC 2008»
15 years 5 months ago
Emotion Recognition from Speech: Stress Experiment
The goal of this work is to introduce an architecture to automatically detect the amount of stress in the speech signal close to real time. For this an experimental setup to recor...
Stefan Scherer, Hansjörg Hofmann, Malte Lampm...
193
Voted
BMCBI
2004
323views more  BMCBI 2004»
15 years 3 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
124
Voted
GECCO
2004
Springer
197views Optimization» more  GECCO 2004»
15 years 9 months ago
Applying Evolutionary Testing to Search for Critical Defects
Software systems are used regularly in safety-relevant applications. Therefore, the occurrence of critical defects may not only cause costly recalls but may also endanger human liv...
André Baresel, Harmen Sthamer, Joachim Wege...
131
Voted
ICANN
2007
Springer
15 years 9 months ago
Towards Understanding of Natural Language: Neurocognitive Inspirations
Neurocognitive processes responsible for representation of meaning and understanding of words are investigated. First a review of current knowledge about word representation, recen...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian