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Alexander Acker

Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis

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Dec 22, 2023
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PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning

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Jan 25, 2023
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Data-Driven Approach for Log Instruction Quality Assessment

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Apr 06, 2022
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LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision

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Nov 25, 2021
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A2Log: Attentive Augmented Log Anomaly Detection

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Sep 20, 2021
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Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation

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Aug 27, 2021
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Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts

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Jul 29, 2021
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Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies

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Mar 09, 2021
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TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services

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Feb 25, 2021
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Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models

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Feb 23, 2021
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