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» Using a neural network in the software testing process
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ICASSP
2010
IEEE
13 years 9 months ago
Graph-spectrum-based neural spike features for stereotrodes and tetrodes
Extracellular recording of neural signals records the action potentials (known as spikes) of neurons adjacent to the electrode as well as the noise generated by the overall neural...
Yasser Ghanbari, Panos Papamichalis, Larry Spence
DAC
2000
ACM
14 years 10 months ago
Embedded hardware and software self-testing methodologies for processor cores
At-speed testing of GHz processors using external testers may not be technically and economically feasible. Hence, there is an emerging need for low-cost, high-quality self-test m...
Li Chen, Sujit Dey, Pablo Sanchez, Krishna Sekar, ...
ECAI
2010
Springer
13 years 10 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
IJCNN
2006
IEEE
14 years 3 months ago
Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
- Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
Azhar Salim, Faramarz Valafar
FORTE
1997
13 years 10 months ago
A Framework for Distributed Object-Oriented Testing
Distributed programming and object-oriented programming are two popular programming paradigms. The former is driven by advances in networking technology whereas the latter provide...
Alan C. Y. Wong, Samuel T. Chanson, Shing-Chi Cheu...