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Abstract
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| In this study subjects were asked to covertly attend left, right, up or down. Apply a classifier to predict in which direction the subjects were covertly attending. Apply a multi-variable channel information representation. Use and combine different type of information (raw data, channels correlation, interaction graphs). Apply an efficient classification method (deals with up to 53841 variables and 254 cases). Search for a subset of informative channels (out of 274) using a multi-objective evolutionary-based optimization algorithm over the four subjects. Use classification accuracy estimation to reduce the cost of the accuracy evaluation step. Apply leave-one-out cross-validation to the Pareto set of optimal solutions. | |
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International
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Si |
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978-3-642-12196-8 |
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Entity
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17th International Conference on Biomagnetism |
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Entity Nationality
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Sin nacionalidad |
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Place
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Dubrovnik, Croacia |