Publicaciones en las que colabora con Adrián Carballal Mato (22)

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)

  2. Authorship and aesthetics experiments: Comparison of results between human and computational systems

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