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    ou:bibtex "@incollection{G_mez_Pulido_2018, doi = {10.1007/978-3-030-03493-1_14}, url = {https://doi.org/10.1007%2F978-3-030-03493-1_14}, year = 2018, publisher = {Springer International Publishing}, pages = {125--133}, author = {Juan A. G{\\'{o}}mez-Pulido and Enrique Cort{\\'{e}}s-Toro and Arturo Dur{\\'{a}}n-Dom{\\'{\\i}}nguez and Broderick Crawford and Ricardo Soto}, title = {Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus}, booktitle = {Intelligent Data Engineering and Automated Learning {\\textendash} {IDEAL} 2018} }";
    dcterms:title "Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting Student Performance in Online Campus";
    ou:eid "2-s2.0-85057093636";
    bibo:doi "10.1007/978-3-030-03493-1_14";
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    dcterms:publisher "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)";
    ou:publicadaEnRevista <https://opendata.unex.es/recurso/ciencia-tecnologia/investigacion/revistas/Revista/2018-16070>.
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