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Found 2 papers, 1 papers with code
Generalized Inverse Classification
To solve such a problem, we propose three real-valued heuristic-based methods and two sensitivity analysis-based comparison methods, each of which is evaluated on two freely available real-world datasets.
A budget-constrained inverse classification framework for smooth classifiers
In this paper we propose a general framework and method that overcomes these and other limitations.
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