Amaury Hernandez-Aguila

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In this paper, a method is presented for the classification of an individual into two affective states: boredom and frustration. To gather the necessary data, the individual interacts with an Intelligent Tutoring System focused on the teaching of programming languages. The method involves a classifier based on k-NN, and feature vectors generated by the(More)
This work makes a comparison between different parameter tuning strategies and a strategy based on randomized parameterization in a pool-based model for the particle swarm optimization algorithm. The proposed method is compared against strategies that implement dynamic adaptation of parameters through the use of fuzzy inference systems. The experiments show(More)
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