Data can be defined as the joint collection of facts and statistics, which yields meaningful
insights on proper analysis. In general, real-world data is a combination of both categorical …

Background The increasing use of electronic health records and the Internet of Things has
led to interoperability issues at different levels (structural and semantic). Standards are …

Instantial variation (IV) refers to variation that is due not to population differences or errors,
but rather to within-subject variation, that is the intrinsic and characteristic patterns of …

In this article we study the problem of learning from fuzzy labels (LFL), a form of weakly
supervised learning in which the supervision target is not precisely specified but is instead …

Anecdotal evidence suggests that the surge of populism and subsequent political
polarization might make voters' political preferences more detectable from digital trace data …

In medical settings, Individual Variation (IV) refers to variation that is due not to population
differences or errors, but rather to within-subject variation, that is the intrinsic and …

The utilization of neural model techniques for predicting learner performance has exhibited
success across various technical domains, including natural language processing. In recent …

University of Ibadan Index Mapped Ordinal Encoding Method for Federated Machine Learning
in Crime Detection Page 1 1 UIJSLICTR Vol. 9 No. 1 January 2023 ISSN: 2714-3627 University …

Disease grading and staging is accomplished through the assignment of an ordinal rating.
Bridge ratings occur when a rater assigns two adjacent categories. Most statistical …

Le phénotypage numérique mobilise les nombreux capteurs du téléphone intelligent (p. ex.:
accéléromètre, GPS, Bluetooth, métadonnées d'appels) pour mesurer le comportement …