Adrian Carballal
Adrian Carballal
University of A Coruña, Centro de Investigación CITIC
Verified email at - Homepage
Cited by
Cited by
Computerized measures of visual complexity
P Machado, J Romero, M Nadal, A Santos, J Correia, A Carballal
Acta Psychologica 160, 43-57, 2015
A review on machine learning approaches and trends in drug discovery
P Carracedo-Reboredo, J Liñares-Blanco, N Rodríguez-Fernández, ...
Computational and Structural Biotechnology Journal 19, 4538-4558, 2021
Artificial intelligence applied to conceptual design. A review of its use in architecture
MLC Pena, A Carballal, N Rodríguez-Fernández, I Santos, J Romero
Automation in Construction 124, 103550, 2021
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
I Santos, L Castro, N Rodriguez-Fernandez, Á Torrente-Patiño, ...
Neural Computing and Applications, 1-37, 2021
Using complexity estimates in aesthetic image classification
J Romero, P Machado, A Carballal, A Santos
Journal of Mathematics and the Arts 6 (2-3), 125-136, 2012
Evolving figurative images using expression-based evolutionary art
J Correia, P Machado, J Romero, A Carballal
Proceedings of the fourth International Conference on Computational …, 2013
Aesthetic classification and sorting based on image compression
J Romero, P Machado, A Carballal, O Osorio
Applications of Evolutionary Computation, 394-403, 2011
Distinguishing paintings from photographs by complexity estimates
A Carballal, A Santos, J Romero, P Machado, J Correia, L Castro
Neural Computing and Applications 30 (6), 1957-1969, 2018
Visual complexity modelling based on image features fusion of multiple kernels
C Fernandez-Lozano, A Carballal, P Machado, A Santos, J Romero
PeerJ 7, e7075, 2019
Expression-based evolution of faces
P Machado, J Correia, J Romero
International Conference on Evolutionary and Biologically Inspired Music and …, 2012
Computing Aesthetics with Image Judgement Systems
J Romero, P Machado, A Carballal, J Correia
Computers and Creativity, 295, 2012
Predicting Vertical Urban Growth Using Genetic Evolutionary Algorithms in Tokyo’s Minato Ward
RI Pazos Perez, A Carballal, JR Rabuñal, OA Mures, ...
Journal of Urban Planning and Development 144 (1), 04017024, 2017
Transfer learning features for predicting aesthetics through a novel hybrid machine learning method
A Carballal, C Fernandez-Lozano, J Heras, J Romero
Neural Computing and Applications 32 (10), 5889-5900, 2020
Feature Selection and Novelty in Computational Aesthetics
J Correia, P Machado, J Romero, A Carballal
Evolutionary and Biologically Inspired Music, Sound, Art and Design, 133-144, 2013
Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach
A Carballal, C Fernandez-Lozano, N Rodriguez-Fernandez, L Castro, ...
Complexity 2019, 2019
Comparison of Outlier-Tolerant Models for Measuring Visual Complexity
A Carballal, C Fernandez-Lozano, N Rodriguez-Fernandez, I Santos, ...
Entropy 22 (4), 488, 2020
Automatic multiscale vascular image segmentation algorithm for coronary angiography
A Carballal, FJ Novoa, C Fernandez-Lozano, M García-Guimaraes, ...
Biomedical Signal Processing and Control 46, 1-9, 2018
Evolutionary and Biologically Inspired Music, Sound
P Machado, J McDermott, A Carballal
Art and Design-Second International Conference, EvoMUSART, 3-5, 2013
Using AI to Simulate Urban Vertical Growth.
RIP Perez, A Carballal, JR Rabuñal, MD García-Vidaurrázaga, OA Mures
CTBUH Journal, 2019
Evolutionary and Biologically Inspired Music, Sound, Art and Design [electronic resource]: 4th International Conference, EvoMUSART 2015, Copenhagen, Denmark, April 8-10, 2015 …
C Johnson, A Carballal
Cham: Springer International Publishing: Imprint: Springer, 2015., 2015
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