Nov 25, 2023 · A comprehensive end-to-end framework that supports the anomaly mining cycle from detection to action and is applicable more broadly to domains beyond finance.
Apr 6, 2023 · We introduce ALARM (for Analyst-in-the-Loop Anomaly Reasoning and Management); an end-to-end framework that supports the anomaly mining cycle comprehensively.
ABSTRACT. Anomalies are often indicators of malfunction or inefficiency in various systems such as manufacturing, healthcare, finance, etc.
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This paper proposes an efficient built-in self-detection and self-correction techniques to detect and correct error in discrete cosine transform (DCT)/inverse ...
Co-authors ; From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management. X Ding, N Seleznev, S Kumar, CB Bruss, L Akoglu.
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management · Conference Paper. November 2023. ·. 6 Reads. Xueying Ding. ·.
Jun 19, 2024 · From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management. ICAIF 2023: 279-287. [i2]. view. electronic edition ...
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management. 2023 • PROCEEDINGS OF THE 4TH ACM INTERNATIONAL CONFERENCE ON AI ...
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management · Author Picture Xueying Ding. Heinz College, Carnegie Mellon ...
From Detection to Action: a Human-in-the-loop Toolkit for Anomaly Reasoning and Management. ICAIF 2023: 279-287. [c24]. view. electronic edition via DOI ...