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Interactive explainability in data-driven modeling: A neural-network-centric survey
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DOI：10.1016/j.neucom.2026.133535.png)
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Abstract
En 中文
• Neural network-centric survey of interactive explainability in data-driven modeling. • Four-level write-in framework: data/knowledge, problem, model, and post-hoc. • Links stability certificates and feasible sets in DiNN/PNN/DyNNs to interaction.
Keywords:
Neural networks
Interactive explainability
Data-driven modeling
Explainable AI
Stability certificates
Journal
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6.5W