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AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data

Title: AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
Authors: Nasimian, Ahmad; Younus, Saleena; Tatli, Özge; Hammarlund, Emma U.; Pienta, Kenneth J.; Rönnstrand, Lars; Kazi, Julhash U.
Source: Patterns ; volume 5, issue 1, page 100897 ; ISSN 2666-3899
Publisher Information: Elsevier BV
Publication Year: 2024
Collection: ScienceDirect (Elsevier - Open Access Articles via Crossref)
Document Type: article in journal/newspaper
Language: English
DOI: 10.1016/j.patter.2023.100897
Availability: http://dx.doi.org/10.1016/j.patter.2023.100897; https://api.elsevier.com/content/article/PII:S2666389923002994?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S2666389923002994?httpAccept=text/plain
Rights: https://www.elsevier.com/tdm/userlicense/1.0/ ; http://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.A0CBCED6
Database: BASE