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cs.LG2026
FADEx: Feature Attribution and Distortion-based Explanation of Dimensionality Reduction
Lucas Greff Meneses, Evandro S. Ortigossa, Claudio Silva +1
Dimensionality Reduction (DR) is a fundamental tool for high-dimensional data exploration, reducing the complexity of latent spaces of machine learning models, and assisting in the…
cs.LG2025
Exploring Urban Factors with Autoencoders: Relationship Between Static and Dynamic Features
Ximena Pocco, Waqar Hassan, Karelia Salinas +2
Urban analytics utilizes extensive datasets with diverse urban information to simulate, predict trends, and uncover complex patterns within cities. While these data enables advance…