Mostrando 6,321 - 6,340 Resultados de 6,653 Para Buscar '"truth"', tiempo de consulta: 0.19s Limitar resultados
  1. 6321
    “…A combined semi-automatic technique for coastal risk assessment and monitoring, named COSMO-Beach, is presented here, integrating ground truths with EO data, as well as its application on two different test sites in Apulia Region (South Italy). …”
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  2. 6322
    “…The hydro-acoustic system was ground-truthed with 259 schools of epipelagic fish. During 2015 and 2016, 136 hydro-acoustic surveys were conducted with concurrent observations of Hector’s dolphin (Cephalorhynchus hectori) and little penguins (Eudyptula minor). …”
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  3. 6323
    Publicado 2019
    “…A spatially-referenced sampling frame can be generated by: remote participatory mapping from satellite imagery; local participatory mapping and ground-truthing; and identification of all residents of each structure. …”
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  4. 6324
    por Cazzato, Valentina, Makris, Stergios
    Publicado 2018
    “…Signal detection analysis (d′) on the acquired accuracy data has shown that both normal- and overweight participants were able to better discriminate truthful actions when performed by the normal-weight as compared to overweight actors. …”
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  5. 6325
  6. 6326
    por Chicco, Davide, Jurman, Giuseppe
    Publicado 2020
    “…CONCLUSIONS: In this article, we show how MCC produces a more informative and truthful score in evaluating binary classifications than accuracy and F(1) score, by first explaining the mathematical properties, and then the asset of MCC in six synthetic use cases and in a real genomics scenario. …”
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  7. 6327
    “…In stage I, 20 kidneys with renal cell carcinoma and four substructures were used for training by manually labelling ground truths. In stage II, 20 kidneys from the previous stage and 20 newly added kidneys were used with convolutional neural net (CNN)-corrected labelling for the newly added data. …”
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  8. 6328
    “…Similar to human food, mouse diets must be prepared under good sanitary conditions and truthfully labeled to provide information of all ingredients. …”
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  9. 6329
    “…Typically, DNNs require large quantities of expertly labelled training exemplars, which in clinical contexts is a major bottleneck to effective modelling, as both considerable clinical skill and time is required to produce high-quality ground truths. In this work we evaluate thirteen supervised classifiers using two large free-text corpora and demonstrate that bi-directional long short-term memory (BiLSTM) networks with attention mechanism effectively identify Normal, Abnormal, and Unclear CXR reports in internal (n = 965 manually-labelled reports, f1-score = 0.94) and external (n = 465 manually-labelled reports, f1-score = 0.90) testing sets using a relatively small number of expert-labelled training observations (n = 3,856 annotated reports). …”
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  10. 6330
    “…The prevalence of disclosure was 40%, 36% delayed disclosure for over a year, and most disclosed to protect the partner from HIV transmission, to receive support, and to be honest and truthful. The prevalence of non-disclosure was high, as 60% withheld disclosure due to fear of abandonment, stigma and discrimination, accusations of unfaithfulness, and partner violence. …”
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  11. 6331
    “…Nutrition and health claims should be truthful and not misleading. We aimed to determine the use of nutrition and health claims in packaged foods sold in Mongolia and examine their credibility. …”
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  12. 6332
    por Li, Chen, He, Kai, Liu, Kun, Ma, Xitao
    Publicado 2020
    “…We trained our network on three popular datasets on image inpainting separately, both Peak Signal to Noise ratio (PSNR) and Structural Similarity (SSIM) between our results, and ground truths on test images show that our network can achieve better performance compared with the recent works in most cases. …”
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  13. 6333
    “…The framework was tested in segmenting 258 US images of breast and thyroid, which were validated by manual ground truths. Results: The proposed framework is accessed quantitatively based on the overlapping values of the Dice coefficient, which reaches [Formula: see text]. …”
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  14. 6334
    “…SCDC is benchmarked against existing methods using both in silico generated pseudo-bulk samples and experimentally mixed cell lines, whose known cell-type compositions serve as ground truths. We show that SCDC outperforms existing methods with improved accuracy of cell-type decomposition under both settings. …”
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  15. 6335
    “…An automatic segmentation and classification of heart blood vessels descriptions can improve the truthfulness and speed up the finding of heart illnesses. …”
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  16. 6336
    “…Our results show that it is possible to truthfully recreate complex scenarios using this simulator, mitigating the disadvantages of real testbeds.…”
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  17. 6337
    por Leslie, Julian C.
    Publicado 2021
    “…Many versions of naturalism imply dualism, but this can be avoided without abandoning a naturalist–realist position either by adopting the historicist approach of Rorty, which suggests that apparently a priori truths are often merely conventions of a philosophical tradition, or by accepting Wittgenstein’s view that there are hinge statements that are fundamental to our thinking but are not propositional beliefs and do not entail dualism. …”
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  18. 6338
    “…Iris and pupil regions were found to be comparable to the manually labelled ground truths. Our proposed framework could provide an automatic approach to quantitatively evaluating pupil and iris misalignments, and it could be used as an additional support tool for clinical activity, without impacting in any way with the consolidated routine.…”
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  19. 6339
    “…Furthermore, techniques and tools should ideally focus on evaluating both the message (information content) and the messenger (information author/source) and not just rely on assessing the latter as a quick and easy proxy for the trustworthiness and truthfulness of the former. Surveying and improving population digital health literacy levels are also essential for future infodemic preparedness.…”
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  20. 6340
    “…We developed a fully automated classification algorithm to diagnose DR and identify referable status using optical coherence tomography angiography (OCTA) images with convolutional neural network (CNN) model and verified its feasibility by comparing its performance with that of conventional machine learning model. Ground truths for classifications were made based on ultra-widefield fluorescein angiography to increase the accuracy of data annotation. …”
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