Publicacións (111) Publicacións de Juan Jesús Romero Cardalda

2024

  1. Image sequence sorting algorithm for commercial tasks

    FRONTIERS IN ARTIFICIAL INTELLIGENCE, Vol. 7

  2. Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset

    Complexity, Vol. 2024

2023

  1. Análisis del uso de las redes sociales como recurso docente

    Innovación docente en los estudios universitarios en comunicación (Tirant Humanidades), pp. 181-206

2022

  1. Experiments in evolutionary image enhancement with ELAINE

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

  2. Towards Automatic Image Enhancement with Genetic Programming and Machine Learning

    Applied Sciences (Switzerland), Vol. 12, Núm. 4

  3. Validation of an Aesthetic Assessment System for Commercial Tasks

    Entropy, Vol. 24, Núm. 1

2021

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

    Automation in Construction, Vol. 124

  2. Evolving Image Enhancement Pipelines

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

  3. Minimal neural network topology optimization for aesthetic classification

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

  4. Neural networks in art, sound and design

    Neural Computing and Applications

  5. Preface

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

2020

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

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

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

    Entropy, Vol. 22, Núm. 4

  3. On the Crossing Number of 2-Page Book Drawings of Kn with Prescribed Number of Edges in Each Page

    Graphs and Combinatorics, Vol. 36, Núm. 2, pp. 303-318

  4. Preface

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

  5. Transfer learning features for predicting aesthetics through a novel hybrid machine learning method

    Neural Computing and Applications, Vol. 32, Núm. 10, pp. 5889-5900

2019

  1. Complex Systems in Aesthetics and Arts

    Complexity

  2. Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems

    Complexity, Vol. 2019

  3. Visual complexity modelling based on image features fusion of multiple kernels

    PeerJ, Vol. 2019, Núm. 7

2018

  1. Bishellable drawings of K n

    SIAM Journal on Discrete Mathematics, Vol. 32, Núm. 4, pp. 2482-2492