Search alternatives:
event classification » text classification (Expand Search), severity classification (Expand Search), forest classification (Expand Search)
led optimization » lead optimization (Expand Search), yet optimization (Expand Search), based optimization (Expand Search)
class event » class levels (Expand Search)
class led » classes led (Expand Search), class left (Expand Search), class lca (Expand Search)
event classification » text classification (Expand Search), severity classification (Expand Search), forest classification (Expand Search)
led optimization » lead optimization (Expand Search), yet optimization (Expand Search), based optimization (Expand Search)
class event » class levels (Expand Search)
class led » classes led (Expand Search), class left (Expand Search), class lca (Expand Search)
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Calibration curves for NLP classification.
Published 2020“…These curves represent different combinations of text featurization (BOW, tf-idf, GloVe) and binary classification algorithms (Logistic Regression, RF, RNN). …”
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Table 1_Non-obtrusive monitoring of obstructive sleep apnea syndrome based on ballistocardiography: a preliminary study.docx
Published 2025“…</p>Results<p>Cross-validated on 32 subjects, the proposed approach achieved an accuracy of 71.9% for four-class severity classification and 87.5% for binary classification (AHI less than 15 or not).…”
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Data for: Non fire-adapted dry forest of Northwestern Madagascar: escalating and devastating trends revealed by Landsat timeseries and GEDI lidar data
Published 2023“…Each training file (geojson) consisted of a binary fire-non-fire class for training the land cover classification algorithm.…”