Results 51 to 60 of about 201,162 (313)
F1—Score of Phishtank and Crawler dataset.
, 2021 F1—Score of Phishtank and Crawler dataset.
Ashit Kumar Dutta (11547381)
core +1 more source
JMIR Medical Informatics, 2020 BackgroundEmerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors on ...
Kasthurirathne, Suranga N +5 more
doaj +1 more source
Bayesian method for comparing F1 scores in the absence of a gold standard
Journal of Biopharmaceutical StatisticsIn 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 ...
Jun Tamura +3 more
openaire +3 more sources
Modified Alexnet Architecture for Classification of Cassava Based on Leaf Images
JOIV: International Journal on Informatics VisualizationThe objective of this study is to address the drawbacks of conventional classification approaches through the implementation of deep learning, specifically a modified AlexNet.
Miftahus Sholihin +5 more
doaj +1 more source
Investigations of diabetic retinopathy using deep learning techniques [PDF]
PeerJ Computer ScienceDiabetes is a chronic metabolic disorder that frequently leads to diabetic retinopathy (DR), a major cause of preventable vision loss worldwide. Early DR detection remains challenging due to the subtle appearance of microaneurysms, haemorrhages, and ...
S. Praveen Samuel Washburn, G. Mahendran
doaj +2 more sources
Comprehensive evaluation of structural variant genotyping methods based on long-read sequencing data
BMC Genomics, 2022 Background Structural variants (SVs) play a crucial role in gene regulation, trait association, and disease in humans. SV genotyping has been extensively applied in genomics research and clinical diagnosis.
Xiaoke Duan, Mingpei Pan, Shaohua Fan
doaj +1 more source
, 2022 This figure also includes precision, recall and f1 score for all datasets and landcover types when using RGB data for pixel classification.
Yuhong He (845522) +3 more
core +1 more source
F1-score of each method for each target organism and superfamily.
, 2018 F1-score of each method for each target organism and superfamily.
Jan Ramon (1964194) +7 more
core +1 more source
Deep learning algorithms (BERT Baseline F1-Score, Kappa Score, and Accuracy).
, 2023 Deep learning algorithms (BERT Baseline F1-Score, Kappa Score, and Accuracy).
Abdul Ghafoor (849371) +5 more
core +1 more source
Molecular Oncology, EarlyView.EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source