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AN INTERPRETABLE DEEP LEARNING FRAMEWORK FOR TABULAR NUMERIC DATA
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Author(s):
DR. PREM KUMAR CHANDRAKAR,ROSHNI V. PASHINE,SANA KHAN
Vol - 15, Issue- 2 ,
Page(s) : 49 - 59
(2025 )
DOI : https://doi.org/10.32804/RJSET
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Abstract
This study introduces InterpreTabNet, a customized deep learning framework aimed at improving interpretability for tabular numeric datasets—an area where deep learning is traditionally underutilized.
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