Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2020

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Summary X Dimensions citations

So far, Altmetric has seen 6 X posts from 6 X users, with an upper bound of 11,213 followers.

RT @AndreaCampagner: Our new paper w\ Andrea Seveso (@JakeSieghardt), Federico Cabitza (@cabitzaf) and Davide Ciucci (@DCiucci ) is out: we…

21 Aug 2020

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RT @AndreaCampagner: Our new paper w\ Andrea Seveso (@JakeSieghardt), Federico Cabitza (@cabitzaf) and Davide Ciucci (@DCiucci ) is out: we…

21 Aug 2020

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RT @AndreaCampagner: Our new paper w\ Andrea Seveso (@JakeSieghardt), Federico Cabitza (@cabitzaf) and Davide Ciucci (@DCiucci ) is out: we…

21 Aug 2020

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Our new paper w\ Andrea Seveso (@JakeSieghardt), Federico Cabitza (@cabitzaf) and Davide Ciucci (@DCiucci ) is out: we propose a method for ordinal encoding based on user-elicited information+fuzzy-based approaches and show results on a medical dataset htt

20 Aug 2020

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