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ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.

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Title: ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.
Authors: Xiong, Guangzhi1, guangzhi@virginia.edu, Sinha, Sanchit1, sanchit@virginia.edu, Zhang, Aidong1, aidong@virginia.edu
Source: ACM Transactions on Knowledge Discovery from Data; Nov2025, Vol. 19 Issue 9, p1-25, 25p
Database: Applied Science & Technology Source
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        Value: 10.1145/3766072
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        Text: English
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      – TitleFull: ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.
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            NameFull: Xiong, Guangzhi
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            NameFull: Sinha, Sanchit
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              Text: Nov2025
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              Y: 2025
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