Search alternatives:
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
process identification » process intensification (Expand Search), protein identification (Expand Search), protein identifications (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
sample process » simple process (Expand Search), same process (Expand Search), sample processing (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
process identification » process intensification (Expand Search), protein identification (Expand Search), protein identifications (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
sample process » simple process (Expand Search), same process (Expand Search), sample processing (Expand Search)
binary sample » final sample (Expand Search), binary people (Expand Search), intra sample (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
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LScD (Leicester Scientific Dictionary)
Published 2020“…These words have been substituted to “ztest”, “wellknown” and “chisquare”. Identification of such words is done by sampling of abstracts form LSC. …”
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Models and Dataset
Published 2025“…<p dir="ltr"><b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. …”
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Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”
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Raw LC-MS/MS and RNA-Seq Mitochondria data
Published 2025“…The missing values were imputed with the minimum intensity value for each specific data set; (b) for samples expressed in both scLRP1+/+ and scLRP1-/- tissue, the filtering process required 2 or more proteins to be detected in both scLRP1+/+ and scLRP1-/- samples. …”
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UMAHand: Hand Activity Dataset (Universidad de Málaga)
Published 2024“…<p dir="ltr">The objective of the UMAHand dataset is to provide a systematic, Internet-accessible benchmarking database for evaluating algorithms for the automatic identification of manual activities. …”