Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis

Research article (Analytical Chemistry, 2024) · cited 45× · AI/ML
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Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis

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Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/spectral-zones-based-shap-lime-enhancing-interpretability-in-spectral-deep-learning-models-through-grouped-feature-analy
MLA “Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spectral-zones-based-shap-lime-enhancing-interpretability-in-spectral-deep-learning-models-through-grouped-feature-analy.
BibTeX @misc{4ortxyz_spectral-zones-based-shap-lime-enhancing-interpretability-in-spectral-deep-learning-models-through-grouped-feature-analy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spectral Zones-Based SHAP/LIME: Enhancing Interpretability in Spectral Deep Learning Models Through Grouped Feature Analysis}}, year = {2026}, url = {https://4ort.xyz/entity/spectral-zones-based-shap-lime-enhancing-interpretability-in-spectral-deep-learning-models-through-grouped-feature-analy}, note = {Accessed: 2026-05-24}}
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