Reference health
Improvement of machine-learning model for detecting and classifying erratic behavior of supercomputer applications
2/2 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 2 checked references that resolve
resolves10.1007/978-3-319-32243-8_2
Efficiency of Exascale Supercomputer Centers and Supercomputing Education
resolves10.1007/978-3-319-58667-0_19
Diagnosing Performance Variations in HPC Applications Using Machine Learning
The 6 references without a DOI — listed, not checked
no DOI — not checkedStatistics of Software Package Usage in Supercomputer Complexes
no DOI — not checkedWhite analysis of XDMoD/SUPReMM data using machine learning techniques
no DOI — not checkedAn Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods
no DOI — not checkedScikit-learn: Machine learning in Python
no DOI — not checkedref7
no DOI — not checkedref8
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checked 2026-07-22 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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