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Communities in RUIdeRA
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Ensemble learning for the partial label ranking problem.
(Wiley, 2022) Alfaro Jiménez, Juan Carlos; Aledo Sánchez, Juan Ángel; Gámez Martín, José Antonio
The partial label ranking problem is a general interpretation of the preference learning scenario known as the label ranking problem, the goal of which is to learn preference classifiers able to predict a complete ranking with ties over the finite set of labels of the class variable. In this paper, we use unsupervised discretization techniques (equal-frequency and equal-width binning) to heuristically select the threshold for the numerical features in the algorithms based on induction of decision trees (partial label ranking trees algorithm).
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Global trends of dalbavancin: A bibliometric analysis.
(Wiley, 2022) Monteagudo Martínez, Nuria; Solís García del Pozo, Julián; Ikuta, Ichiro; Galindo Anaya, María Francisca; Jordán Bueso, Joaquín
What is known and objective?: Dalbavancin is used against gram-positive pathogens such as Staphylococcus aureus in acute bacterial skin and skin-structure infections. Methods: Our main goal was to identify the key articles sustaining the current knowledge of this drug's therapeutic possibilities through a bibliometric analysis of the available literature.
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An environmentally friendly production of ester-biolubricant from oleic acid.
(Wiley, 2022) Ramos Mellado, Francisco Javier; Haro, Juan Carlos de; Rodríguez Romero, Juan Francisco; Pérez Martínez, Ángel; Carmona Delgado, Manuel
The production of oleic-based trimethylolpropane (TMP) esters via the esterification reaction between oleic acid (OA) and TMP in a reactive distillation system, employing the environmentally friendly catalyst methanesulfonic acid, was explored. The homogeneous acid catalyst, the OA/TMP molar ratio within 1.0–3.0, the esterification reaction enhancement and a new purification technique, using choline hydroxide (ChOH), for obtaining choline carboxylate as a subproduct, were studied.
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Alfonso X: el universo político y cultural de un reinado
(Ediciones de la Universidad de Castilla-La Mancha, 2024) María José Lop Otín; David Igual Luis; Jorge Pérez Burgueño