Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction

Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction

The assessment of urban quality of life (UQoL) is a multidimensional challenge involving socioeconomic, environmental, and infrastructure-related variables that, due to changes in the behavior and structures of social issues, requires robust and effective analytical techniques. This study introduces...

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Bibliographic Details
Main Authors: Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Urban quality of life
machine learning
support vector machines
explainable AI
bilevel programming
Online Access:https://ieeexplore.ieee.org/document/11091293/
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https://ieeexplore.ieee.org/document/11091293/

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