Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...
YouTube has officially altered the outlook for digital video creators and viewers by transitioning from a voluntary AI disclosure policy to a mandatory, automated detection system. Under the ...
Multi-label learning addresses classification tasks in which each instance may be associated with multiple, non-exclusive labels. Unlike traditional single-label approaches, multi-label methods must ...
Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Labels, particularly when applied to human beings and their behavior, can have a surprisingly polarizing effect, regardless of the label’s efficacy. Some people resist labels altogether, while others ...
A team of Monash University researchers have successfully piloted an algorithm to identify incorrect penicillin allergy labels and educate patients presenting to community pharmacies. Patients are ...
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