Difference between revisions of "Exploratory data analysis by genetic feature extraction"
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*B. Dal Seno, M. Matteucci, and L. Mainardi. "A genetic algorithm for automatic feature extraction in P300 detection" (http://home.dei.polimi.it/dalseno/papers/2008/ijcnn08.pdf) | *B. Dal Seno, M. Matteucci, and L. Mainardi. "A genetic algorithm for automatic feature extraction in P300 detection" (http://home.dei.polimi.it/dalseno/papers/2008/ijcnn08.pdf) | ||
*B. Dal Seno, M. Matteucci, L. Mainardi, F. Piccione, and S. Silvoni. "Single-trial P300 detection in healthy and ALS subjects by means of a genetic algorithm" (http://home.dei.polimi.it/dalseno/papers/2008/grazGa08.pdf) | *B. Dal Seno, M. Matteucci, L. Mainardi, F. Piccione, and S. Silvoni. "Single-trial P300 detection in healthy and ALS subjects by means of a genetic algorithm" (http://home.dei.polimi.it/dalseno/papers/2008/grazGa08.pdf) | ||
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|start=2009/10/01 | |start=2009/10/01 | ||
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|level=Ms | |level=Ms | ||
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Latest revision as of 16:36, 26 April 2011
Title: | Exploratory data analysis by genetic feature extraction |
Image:Evolve1at300dpi.gif |
Description: | Understanding the waves in EEG signals is an hard task and psicologists often need automatic tools to perform this task. In this project we are interested in using a genetic algorithm developed for P300 feature extraction in order to extract useful informations from Error Potentials. The project is a collaboration with the psicology department od Padua University.
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Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it) | |
Start: | 2009/10/01 | |
Students: | 1 - 2 | |
CFU: | 5 - 20 | |
Research Area: | BioSignal Analysis | |
Research Topic: | Brain-Computer Interface | |
Level: | Ms | |
Type: | Course, Thesis | |
Status: | Closed |