Search alternatives:
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
same process » damage process (Expand Search), simple process (Expand Search), phase process (Expand Search)
binary naive » binary pairs (Expand Search)
binary same » binary image (Expand Search)
naive based » naive bayes (Expand Search), noise based (Expand Search), naive cases (Expand Search)
process optimization » model optimization (Expand Search)
based optimization » whale optimization (Expand Search)
same process » damage process (Expand Search), simple process (Expand Search), phase process (Expand Search)
binary naive » binary pairs (Expand Search)
binary same » binary image (Expand Search)
naive based » naive bayes (Expand Search), noise based (Expand Search), naive cases (Expand Search)
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
Published 2022“…Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …”
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Image processing workflow.
Published 2020“…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …”
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
Published 2020“…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…”
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Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
Published 2023“…In bSRWPSO-FKNN, the core of which is to optimize the classification performance of FKNN through binary SRWPSO.…”
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PathOlOgics_RBCs Python Scripts.zip
Published 2023“…This process generated a ground-truth binary semantic segmentation mask and determined the bounding box coordinates (XYWH) for each cell. …”
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Supplementary Material 8
Published 2025“…</li><li><b>Naïve bayes (NB): </b> A probabilistic classifier based on Bayes' theorem, suitable for predicting resistance phenotypes based on genomic features.…”