Puede ver todos los artículos producidos en la Universidad de Córdoba en la colección Artículos, capítulos… UCO.

Recent Submissions

  • Graph-Based Feature Selection Approach for Molecular Activity Prediction 

    Cerruela García, Gonzalo; Cuevas-Muñoz, José Manuel; García Pedrajas, Nicolás (ACS, 2022)
    In the construction of QSAR models for the prediction of molecular activity, feature selection is a common task aimed at improving the results and understanding of the problem. The selection of features allows elimination ...
  • Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation 

    Rodríguez-Perálvarez, Manuel; Colmenero, Jordi; González, Antonio; Gastaca, Mikel; Curell, Anna; Caballero-Marcos, Aránzazu; Sánchez-Martínez, Ana; Maira, Tommaso Di; Herrero, José Ignacio; Almohalla, Carolina; Lorente, Sara; Cuadrado-Lavín, Antonio; Pascual, Sonia; López-Garrido, María Ángeles; González-Grande, Rocío; Gómez-Orellana, Antonio Manuel; Alejandre, Rafael; Zamora-Olaya, Javier; Bernal-Bellido, Carmen; Chronic immunosuppression, cancer Spanish consortium (Wiley, 2022)
    Cancer is the leading cause of death after liver transplantation (LT). This multicenter case–control nested study aimed to evaluate the effect of maintenance immunosuppression on post-LT malignancy. The eligible cohort ...
  • A review on data fusion in multimodal learning analytics and educational data mining 

    Chango, Wilson; Lara, Juan A.; Cerezo, Rebeca; Romero Morales, C. (Wiley, 2022)
    The new educational models such as smart learning environments use of digital and context-aware devices to facilitate the learning process. In this new educational scenario, a huge quantity of multimodal students' data ...
  • Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns 

    Al‑Twijri, Mohammed Ibrahim; Luna, J.M.; Herrera, Francisco; Ventura Soto, S. (Springer, 2022)
    To provide a good study plan is key to avoid students’ failure. Academic advising based on student’s preferences, complexity of the semester, or even background knowledge is usually considered to reduce the dropout rate. ...
  • Error-Correcting Output Codes in the Framework of Deep Ordinal Classification 

    Barbero-Gómez, Javier; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (Springer, 2022)
    Automatic classification tasks on structured data have been revolutionized by Convolutional Neural Networks (CNNs), but the focus has been on binary and nominal classification tasks. Only recently, ordinal classification ...

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