Publications by the researcher in collaboration with Adrián Carballal Mato (23)

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

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

  4. Minimal neural network topology optimization for aesthetic classification

    Neural Computing and Applications, Vol. 33, Núm. 1, pp. 107-119

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. Assisted surface redesign by perturbing its point cloud representation

    IET Software, Vol. 12, Núm. 3, pp. 251-257

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

    Complexity, Vol. 2019

  5. Distinguishing paintings from photographs by complexity estimates

    Neural Computing and Applications, Vol. 30, Núm. 6, pp. 1957-1969

  6. Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo's Minato ward

    Journal of Urban Planning and Development, Vol. 144, Núm. 1

2014

  1. A complexity approach for identifying aesthetic composite landscapes

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)