Right on Time: Revising Time Series Models by Constraining their Explanations

arXiv:2402.12921v1 Announce Type: new
Abstract: The reliability of deep time series models is often compromised by their tendency to rely on confounding factors, which may lead to misleading results. Our newly recorded, naturally confounded dataset named P2S from a real mechanical production line emphasizes this. To tackle the challenging problem of mitigating confounders in time series data, we introduce Right on Time (RioT). Our method enables interactions with model explanations across both the time and frequency domain. Feedback on explanations …

abstract arxiv confounding cs.lg dataset line production reliability series time series type