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WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets.

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Title: WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets.
Authors: Banegas-Luna, Antonio Jesús1, antonioj.banegas@cud.upct.es, Pérez-Sánchez, Horacio2, Martínez-Cortés, Carlos1,2
Source: Machine Learning & Knowledge Extraction; Apr2026, Vol. 8 Issue 4, p97, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193486293
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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        Value: 10.3390/make8040097
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 97
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      – TitleFull: WISCA: A Consensus-Based Approach to Harmonizing Interpretability in Tabular Datasets.
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              Text: Apr2026
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              Y: 2026
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