Multi-SpaCE uses NSGA-II to generate Pareto-optimal, subsequence-based counterfactual explanations for multivariate time series, achieving perfect validity on all tested datasets.
ACM Computing Surveys 56(12) (2024)
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Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
Multi-SpaCE uses NSGA-II to generate Pareto-optimal, subsequence-based counterfactual explanations for multivariate time series, achieving perfect validity on all tested datasets.