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selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
example selection » sample selection (Expand Search), frame selection (Expand Search), enabled selection (Expand Search)
case optimization » based optimization (Expand Search), phase optimization (Expand Search), dose optimization (Expand Search)
case example » rare example (Expand Search), one example (Expand Search)
binary case » binary mask (Expand Search), binary image (Expand Search), primary case (Expand Search)
binary same » binary image (Expand Search)
same case » base case (Expand Search), rare case (Expand Search), site case (Expand Search)
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
Published 2020“…., MIs involving 2 or more body parts at the same time). And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”
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Causal Inference Under Outcome-Based Sampling with Monotonicity Assumptions
Published 2023“…<p>We study causal inference under case-control and case-population sampling. Specifically, we focus on the binary-outcome and binary-treatment case, where the parameters of interest are causal relative and attributable risks defined via the potential outcome framework. …”
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PathOlOgics_RBCs Python Scripts.zip
Published 2023“…</p><p dir="ltr">In terms of classification, a second algorithm was developed and employed to preliminary sort or group the individual cells (after excluding the overlapping cells manually) into different categories using five geometric measurements applied to the extracted contour from each binary image mask (see PathOlOgics_script_2; preliminary shape measurements). …”