{
  "id": 16936,
  "url": "https://arxiv.org/abs/2608.04777v1",
  "title": "IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution",
  "summary": "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",
  "authors": "Udo Schlegel, Julian Rakuschek, Thomas Seidl, Andreas Holzinger, Tobias Schreck, Javier Del Ser",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-05T12:43:33.000Z",
  "fetched_at": "2026-08-06T05:10:11.148Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16936",
  "original_url": "https://arxiv.org/abs/2608.04777v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}