Results 21 to 30 of about 3,188,697 (327)
Bayesian method for comparing F1 scores in the absence of a gold standard
In the field of medicine, evaluating the diagnostic performance of new diagnostic methods can be challenging, especially in the absence of a gold standard. This study proposes a methodology for assessing the performance of diagnostic tests by estimating the posterior distribution of the F1 score using latent class analysis, without relying on a gold ...
Junsuke Tamura+3 more
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AbstractSingle-molecule RNA fluorescencein situhybridization (RNA FISH)-based spatial transcriptomics methods have enabled the accurate quantification of gene expression at single-cell resolution by visualizing transcripts as diffraction-limited spots.
Zijian Niu+7 more
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High-F1-score Recognition of Input Gestures while Holding Smartphone by Reducing False Detection Due to Walking Noise [PDF]
Ryo Katsuma, Tomoaki Amiya
openalex +2 more sources
Maximum F1-Score Training for End-to-End Mispronunciation Detection and Diagnosis of L2 English Speech [PDF]
Bicheng Yan+4 more
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Institut Teknologi Kalimantan (ITK) is one of the state universities in Indonesia which has 5 majors, one of them is the Department of Mathematics and Information Technology (JMTI).
Fatrysia Wikarya Sucipto+2 more
doaj +1 more source
Extending F1 metric, probabilistic approach [PDF]
This article explores the extension of well-known F1 score used for assessing the performance of binary classifiers. We propose the new metric using probabilistic interpretation of precision, recall, specificity, and negative predictive value.
Mikolaj Sitarz
semanticscholar +1 more source
Rationale. The risk of early graft loss determines the specifics and plan of anesthesiological assistance, intensive therapy, and overall the feasibility of liver transplantation.
A. I. Sushkov+10 more
doaj +1 more source
Radiomics is the process of extracting useful quantitative features of high-dimensional data that allows for automated disease classification, including atherosclerotic disease.
Mardhiyati Mohd Yunus+8 more
doaj +1 more source
Benchmarking Low-Frequency Variant Calling With Long-Read Data on Mitochondrial DNA
Background: Sequencing quality has improved over the last decade for long-reads, allowing for more accurate detection of somatic low-frequency variants. In this study, we used mixtures of mitochondrial samples with different haplogroups (i.e., a specific
Theresa Lüth+6 more
doaj +1 more source