Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach
An important topic in evolutionary art is the development of systems that can mimic the aesthetics decisions made by human begins, e.g., fitness evaluations made by humans using interactive evolution in generative art. This paper focuses on the analysis of several datasets used for aesthetic predict...
Saved in:
Main Authors: | Adrian Carballal, Carlos Fernandez-Lozano, Nereida Rodriguez-Fernandez, Luz Castro, Antonino Santos |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2019/4659809 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Inherence and Inheritance
by: Suhail Kapdi
Published: (2022-07-01) -
Inherent stochasticity, noise and limits of detection in continuous and time-gated fluorescence systems.
by: Nicholas H Vitale, et al.
Published: (2024-01-01) -
A Novel Brushless Wound Rotor Synchronous Machine Utilizing Inherent Sub-Harmonic Component
by: Muhammad Ahsan Ul Haq, et al.
Published: (2025-01-01) -
A note on the use of influenza vaccination strategies when supply is limited
by: Sunmi Lee, et al.
Published: (2010-12-01) -
Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset
by: Iria Santos, et al.
Published: (2024-01-01)