Listar GI-RNASA - Artigos por autor "Castro, M. Luz"

Mostrando ítems 1-5 de 5

    • A complexity approach for identifying aesthetic composite landscapes 

      Carballal, Adrián; Pérez, Rebeca; Santos-del-Riego, Antonino; Castro, M. Luz (Springer, 2014)
      [Abstract] The present paper describes a series of features related to complexity which may allow to estimate the complexity of an image as a whole, of all the elements integrating it and of those which are its focus of ...

    • Artificial Intelligence Applied to Conceptual Design. A Review of Its Use in Architecture 

      Castro, M. Luz; Carballal, Adrián; Rodríguez-Fernández, Nereida; Santos, Iria; Romero, Juan (Elsevier, 2021)
      [Abstract] Conceptual architectural design is a complex process that draws on past experience and creativity to generate new designs. The application of artificial intelligence to this process should not be oriented toward ...

    • Authorship ans aesthetics experiments: comparision of results between human and computational systems 

      Castro, M. Luz; Pérez, Rebeca; Santos-del-Riego, Antonino; Carballal, Adrián (Springer, 2014)
      [Abstract] This paper presents the results of two experiments comparing the functioning of a computational system and a group of humans when performing tasks related to art and aesthetics. The first experiment consists of ...

    • Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach 

      Carballal, Adrián; Fernández-Lozano, Carlos; Rodríguez-Fernández, Nereida; Castro, M. Luz; Santos-del-Riego, Antonino (Hindawi Limited, 2019)
      [Abstract]: An important topic in evolutionary art is the development of systems that can mimic the aesthetics decisions made by human begins,e.g., fitness evaluations made by humans using interactive evolution in generative ...

    • State of the Art on Artificial Intelligence in Land Use Simulation 

      Castro, M. Luz; Machado, Penousal; Santos, Iria; Rodríguez-Fernández, Nereida; Torrente-Patiño, Álvaro; Carballal, Adrián (Hindawi Limited, 2022)
      [Abstract] This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land-use predictions. In this review, different articles after the year 2016 are analyzed mostly ...