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Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks
Research article (Metabolomics, 2020) · cited 54× · AI/ML
Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks
Summary
Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks is a scholarly article[1].
Key Facts
Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks. Retrieved May 24, 2026, from https://4ort.xyz/entity/migrating-from-partial-least-squares-discriminant-analysis-to-artificial-neural-networks-a-comparison-of-functionally-eq
MLA“Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/migrating-from-partial-least-squares-discriminant-analysis-to-artificial-neural-networks-a-comparison-of-functionally-eq.
BibTeX@misc{4ortxyz_migrating-from-partial-least-squares-discriminant-analysis-to-artificial-neural-networks-a-comparison-of-functionally-eq_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks}}, year = {2026}, url = {https://4ort.xyz/entity/migrating-from-partial-least-squares-discriminant-analysis-to-artificial-neural-networks-a-comparison-of-functionally-eq}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks — https://4ort.xyz/entity/migrating-from-partial-least-squares-discriminant-analysis-to-artificial-neural-networks-a-comparison-of-functionally-eq (retrieved 2026-05-24)
