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Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models

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Published in:ArXiv cs.LG Recent Papers
Format: Online Article RSS Article
Published: 2026
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description
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publishDateSort 2026
record_format rss_article
spellingShingle Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
subject_facet ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
title Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
title_auth Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
title_full Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
title_fullStr Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
title_full_unstemmed Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
title_short Spectral Model eXplainer: a chemically-grounded explainability framework for spectral-based machine learning models
title_sort spectral model explainer: a chemically-grounded explainability framework for spectral-based machine learning models
topic ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
url https://arxiv.org/abs/2605.02684v1