High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2020.108328
Abstract: Abstract Industrial threading processes that use cutting taps are in high demand. However, industrial conditions differ markedly from laboratory conditions. In this study, a machine-learning solution is presented for the correct classification of threads, based… read more here.
Keywords: quality; high accuracy; accuracy classification; ensembles classifiers ... See more keywords
Interpretable Ensembles of Classifiers for Uncertain Data with Bioinformatics Applications.
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DOI: 10.1109/tcbb.2022.3218588
Abstract: Data uncertainty remains a challenging issue in many applications, but few classification algorithms can effectively cope with it. An ensemble approach for uncertain categorical features has recently been proposed, achieving promising results. It consists in… read more here.
Keywords: interpretable ensembles; classifiers uncertain; bioinformatics applications; data bioinformatics ... See more keywords