Publicaciones en las que colabora con Adrián Carballal Mato (15)

2024

  1. Herramientas para la creación de contenido multimedia. Uso del motor de videojuegos Godot Engine

    Aprendizaje en las aulas universitarias: Proyectos y casos desde las Ciencias Sociales (Tirant lo Blanch Colombia), pp. 333-349

2022

  1. Experiments in evolutionary image enhancement with ELAINE

    Genetic Programming and Evolvable Machines, Vol. 23, Núm. 4, pp. 557-579

  2. Flow Space and the Complexity of Urban Spatial Network State of the Art on Artificial Intelligence in Land-Use Simulation

    Complexity, Vol. 2022

  3. Validation of an Aesthetic Assessment System for Commercial Tasks

    Entropy, Vol. 24, Núm. 1

  4. Wi-Fi Handshake: analysis of password patterns in Wi-Fi networks

    PeerJ Computer Science, Vol. 8

2021

  1. A review on machine learning approaches and trends in drug discovery

    Computational and Structural Biotechnology Journal, Vol. 19, pp. 4538-4558

  2. Artificial Neural Networks and Deep Learning in the Visual Arts: a review

    Neural Computing and Applications, Vol. 33, Núm. 1, pp. 121-157

  3. Artificial intelligence applied to conceptual design. A review of its use in architecture

    Automation in Construction, Vol. 124

2020

  1. A genetic programming-based low-level instructions robot for realtimebattle

    Entropy, Vol. 22, Núm. 12, pp. 1-21

  2. A point-based redesign algorithm for designing geometrically complex surfaces. A case study: Miralles's croissant paradox

    IET Image Processing, Vol. 14, Núm. 12, pp. 2948-2956

  3. Comparison of outlier-tolerant models for measuring visual complexity

    Entropy, Vol. 22, Núm. 4

  4. Estimulación musical temprana en casa: propuesta de aplicación móvil

    Conference proceedings CIVINEDU 2020: 4th International Virtual Conference on Educational Research and Innovation September 23-24, 2020

2018

  1. Aesthetic composition indicator based on image complexity

    Interface Support for Creativity, Productivity, and Expression in Computer Graphics (IGI Global), pp. 185-202

  2. Approach to minimize bias on aesthetic image datasets

    Interface Support for Creativity, Productivity, and Expression in Computer Graphics (IGI Global), pp. 203-219

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

    Complexity, Vol. 2019