FCA-Guided Counterfactual Explanations for Multi-Modal Breast Cancer Diagnosis: A Framework Achieving Perfect Validity with Emergent Sparsity
cs.AI
Submitted: 2026-09-17
Updated: 2026-09-17
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
- Provably Robust Bayesian Counterfactual Explanations under Model Changes
- Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
- Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
- TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
- Synthesising Counterfactual Explanations via Label-Conditional Gaussian Mixture Variational Autoencoders
- Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
- Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research
- Counterfactual Explanations on Robust Perceptual Geodesics
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