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IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution

Oscillatory signals, such as vibration, carry class-discriminative information in specific frequency bands; perturbing them in raw feature space for counterfactual analysis easily destroys their temporal structure and produces physically implausible results. In this work, we introduce IMFACT (IMF-based counterfACTuals), a model-agnostic framework for generating plausible counterfactual explanations for time series classifiers that operates in the decomposition space of Empirical Mode Decompositi

Record details

Published: 5 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Bias & fairness
Retrieved: 6 August 2026

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How to cite this record

ethics.ai (5 August 2026), “IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution,” evidence record 16936, https://ethics.ai/record/16936 (originally published by arXiv cs.AI).

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