α-TCAV replaces TCAV's hard indicator with a tunable smooth function to create a unified probabilistic framework with lower variance and guidance for parameter choice or Bayes-optimal scoring.
arXiv preprint arXiv:2509.24058 (2025)
2 Pith papers cite this work. Polarity classification is still indexing.
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A new open-access landscape concept dataset enables the first application of Robust TCAV to deep learning species distribution models, validating predictions against expert knowledge and uncovering novel ecological associations for two aquatic insect groups.
citing papers explorer
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$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors
α-TCAV replaces TCAV's hard indicator with a tunable smooth function to create a unified probabilistic framework with lower variance and guidance for parameter choice or Bayes-optimal scoring.
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A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models
A new open-access landscape concept dataset enables the first application of Robust TCAV to deep learning species distribution models, validating predictions against expert knowledge and uncovering novel ecological associations for two aquatic insect groups.