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» Extracting the abstraction pyramid from complex networks
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IBPRIA
2003
Springer
15 years 3 months ago
A Probabilistic Model for the Cooperative Modular Neural Network
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...
Luís A. Alexandre, Aurélio C. Campil...
CODES
2005
IEEE
15 years 3 months ago
Automatic network generation for system-on-chip communication design
With growing system complexities, system-level communication design is becoming increasingly important and advanced, network-oriented communication architectures become necessary....
Dongwan Shin, Andreas Gerstlauer, Rainer Döme...
BMCBI
2005
124views more  BMCBI 2005»
14 years 9 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
MCS
2002
Springer
14 years 9 months ago
Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach
The increasing amount and complexity of data in toxicity prediction calls for new approaches based on hybrid intelligent methods for mining the data. This focus is required even mo...
Emilio Benfenati, Paolo Mazzatorta, Daniel Neagu, ...
FMICS
2010
Springer
14 years 10 months ago
Correctness of Sensor Network Applications by Software Bounded Model Checking
We investigate the application of the software bounded model checking tool CBMC to the domain of wireless sensor networks (WSNs). We automatically generate a software behavior mode...
Frank Werner, David Faragó