Now showing items 1-4 of 4

    • Comparison of Outlier-Tolerant Models for Measuring Visual Complexity 

      Carballal, Adrian; Fernandez-Lozano, Carlos; Rodriguez-Fernandez, Nereida; Santos, Iria; Romero, Juan (M D P I AG, 2020-04-24)
      [Abstract] Providing the visual complexity of an image in terms of impact or aesthetic preference can be of great applicability in areas such as psychology or marketing. To this end, certain areas such as Computer Vision ...
    • Gene Signatures Research Involved in Cancer Using Machine Learning 

      Liñares Blanco, José; Fernandez-Lozano, Carlos (M D P I AG, 2019)
      [Abstract] With the cheapening of mass sequencing techniques and the rise of computer technologies, capable of analyzing a huge amount of data, it is necessary nowadays that both branches mutually benefit. Transcriptomics, ...
    • Molecular docking and machine learning analysis of Abemaciclib in colon cancer 

      Liñares Blanco, José; Munteanu, Cristian-Robert; Pazos, Alejandro; Fernandez-Lozano, Carlos (BioMed Central Ltd., 2020-07-08)
      [Abstract] Background - The main challenge in cancer research is the identification of different omic variables that present a prognostic value and personalised diagnosis for each tumour. The fact that the diagnosis is ...
    • Visual complexity modelling based on image features fusion of multiple kernels 

      Fernandez-Lozano, Carlos; Carballal, Adrian; Machado, Penousal; Santos, Antonino; Romero, Juan (PeerJ, Ltd., 2019-07-18)
      [Abstract] Humans’ perception of visual complexity is often regarded as one of the key principles of aesthetic order, and is intimately related to the physiological, neurological and, possibly, psychological characteristics ...