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Titlebook: Hybrid Artificial Intelligent Systems; 15th International C Enrique Antonio de la Cal,José Ramón Villar Flecha Conference proceedings 2020

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PreCLAS: An Evolutionary Tool for Unsupervised Feature Selectionunctionality, a benchmark dataset was studied in a clustering context. Then, a microarray dataset with genomic information was analyzed, and the PreCLAS was used to select informative genes in the context of classification strategies. Experimentation showed that the new method performs successfully
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ionally, genetic variation analyses have been based on the human reference genome assembled from a relatively small human population. However, genetic variation could be discovered more comprehensively by using a collection of genomes i.e., pan-genome as a reference. The pan-genomic references can b
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the historical behaviors of a user to recommend the top . POIs and rarely consider the current state of the user. Unlike POI recommendation, successive POI recommendation is more sensitive to user preferences and changes in time and space. In order to alleviate the data sparsity, we make full use o
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