• A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle 

      Romero, Juan; Santos-del-Riego, Antonino; Carballal, Adrián; Rodríguez-Fernández, Nereida; Santos, Iria; Torrente-Patiño, Álvaro; Tuñas, Juan; Machado, Penousal (MDPI AG, 2020)
      [Abstract]: RealTimeBattle is an environment in which robots controlled by programs fight each other. Programs control the simulated robots using low-level messages (e.g., turn radar, accelerate). Unlike other tools like ...
    • A point-based redesign algorithm for designing geometrically complex surfaces. A case study: Miralles's croissant paradox 

      Carballal, Adrián; Pazos Pérez, Rafael Iván; Rodríguez-Fernández, Nereida; Santos, Iria; García-Vidaurrázaga, María D.; Rabuñal, Juan R. (Jonh Wiley & Sons, 2020)
      [Abstract]: This study explores the use of point clouds for both representation and genetic morphogenesis of complex geometry. The accurate representation of existing objects of complex curved geometry, which are subsequently ...
    • 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 ...
    • Comparison of Outlier-Tolerant Models for Measuring Visual Complexity 

      Carballal, Adrián; Fernández-Lozano, Carlos; Rodríguez-Fernández, Nereida; Santos, Iria; Romero, Juan (MDPI 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 ...
    • 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 ...
    • Validation of an Aesthetic Assessment System for Commercial Tasks 

      Rodríguez-Fernández, Nereida; Álvarez-González, S.; Santos, Iria; Torrente-Patiño, Álvaro; Carballal, Adrián; Romero, Juan (MDPI, 2022)
      [Abstract] Automatic prediction of the aesthetic value of images has received increasing attention in recent years. This is due, on the one hand, to the potential impact that predicting the aesthetic value has on practical ...