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1461por Li, Yuqian, Cornelis, Bruno, Dusa, Alexandra, Vanmeerbeeck, Geert, Vercruysse, Dries, Sohn, Erik, Blaszkiewicz, Kamil, Prodanov, Dimiter, Schelkens, Peter, Lagae, Liesbet“…High-dimensional optical and morphological features are extracted from reconstructed digital holograms of single cells using the ground-truth images and advanced machine learning algorithms are investigated and implemented to obtain 99% classification accuracy. …”
Publicado 2018
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1462“…MOTIVATION: Classical methods of comparing the accuracies of variant calling pipelines are based on truth sets of variants whose genotypes are previously determined with high confidence. …”
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1463“…The method involves estimating the probability revealing the status of a subject’s disease/condition (called truth thereafter) through the subject’s reported outcomes. …”
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1464“…Several recent studies have examined the effect of unconscious thinking on deception detection with the hypothesis that unconscious thought increases the ability to discriminate between truth and deception, but these studies yielded conflicting results. …”
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1465“…RESULTS: The results revealed that the total critical thinking disposition score mean was 257.05 ± 20.16 and the highest score mean was 48.67 ± 6.28 for inquisitiveness subscale, while the lowest score mean was 21.36 ± 7.19 for the truth-seeking subscale. Also, none of the personal & job characteristics showed statistically significant relations with the total critical thinking disposition. …”
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1466“…After learning a generative model for the relationship between observed and ground truth scores (the latter defined by a consensus rating of the 12 vignettes), we show that the dichotomized scale is more robust to inter-rater disagreement than the raw 0-10 scale. …”
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1467“…Models were trained on the COP ground truth data measured using an instrumented treadmill and achieved the average intra-subject root mean square (RMS) error between estimated and ground truth COP of 12.3 mm and the average inter-subject RMS error of 23.7 mm which is comparable or better than similar studies so far. …”
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1468“…However, some existing methods have resorted to adding Gaussian blur to focused images, to simulate defocus, thereby generating data (with ground-truth) for supervised learning. Moreover, they classify pixels as ‘focused’ or ‘defocused’, and use the classified results to construct the fusion weight maps. …”
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1469“…Moreover, the predicted OD matrix was structurally compared with the ground truth matrix, and the CNN model also shows the highest structural similarity with the ground truth OD matrix in the presented case.…”
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1470por Blagosklonny, Mikhail V.“…The concept of absolute compression of morbidity is misleading in humans (in truth, there is no other way to compress morbidity as by denying thorough medical care) and false in animals (in truth, anti-aging interventions do not condense morbidity, they postpone it). …”
Publicado 2021
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1471por Momeni, Saba, Fazlollahi, Amir, Lebrat, Leo, Yates, Paul, Rowe, Christopher, Gao, Yongsheng, Liew, Alan Wee-Chung, Salvado, Olivier“…Deep learning-based classifiers can detect and quantify CMB from MRI, such as susceptibility imaging, but are challenging to train because of the limited availability of ground truth and many confounding imaging features, such as vessels or infarcts. …”
Publicado 2021
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1472por Zadrożny, Łukasz, Regulski, Piotr, Brus-Sawczuk, Katarzyna, Czajkowska, Marta, Parkanyi, Laszlo, Ganz, Scott, Mijiritsky, Eitan“…The AI protocol showed very high specificity (above 0.9) in all assessments compared to ground truth except from periodontal bone loss. Statistical analysis showed a high interclass correlation coefficient (ICC > 0.75) for all interevaluator assessments, proving the good credibility of the ground truth and the reproducibility of the reports. …”
Publicado 2022
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1473“…Manual/visual counting of cell segmentation serves as the control group (156 images as ground truth) to evaluate the proposed method’s performance. …”
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1474“…In this paper, we present a novel mask removal inpainting network based on face attributes known in advance including nose, chubby, makeup, gender, mouth, beard and young, aiming to ensure the repaired face image is closer to ground truth. To achieve this, a dual pipeline network based on GANs has been proposed, one of which is a reconstructive path used in training that utilizes missing regions in ground truth to get prior distribution, while the other is a generative path for predicting information in the masked region. …”
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1475por Tyler, Christopher W.“…This overview discusses the nature of perceptual illusions with particular reference to the theory that illusions represent the operation of a sensory code for which there is no meaningful ground truth against which the illusory percepts can be compared, and therefore there are no illusions as such. …”
Publicado 2022
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1476por Qu, Dixin“…Dance is constantly discovering truth, goodness, and beauty in human social life, spreading truth, goodness, and beauty, and fully expressing the artistic pursuit of dance beauty. …”
Publicado 2022
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1477“…Further, we generate high-temporal-resolution ground truth data to analyze tracking performance at different temporal rates. …”
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1478“…Four distinct intonation contours with four distinct meanings were contrasted: strong agreement to the truth of the relevant word (emphasizing) (H), interrogative meaning (LH), doubting the fact of the word in question (L), and a neutral conceptual meaning of the relevant word (HL). …”
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1479por Önder, Merve, Evli, Cengiz, Türk, Ezgi, Kazan, Orhan, Bayrakdar, İbrahim Şevki, Çelik, Özer, Costa, Andre Luiz Ferreira, Gomes, João Pedro Perez, Ogawa, Celso Massahiro, Jagtap, Rohan, Orhan, Kaan“…In this retrospective study, a total of 30 anonymized CT volumes of the head and neck were sliced into 931 axial images of the parotid glands. Ground truth labeling was performed with the CranioCatch Annotation Tool (CranioCatch, Eskisehir, Turkey) by two oral and maxillofacial radiologists. …”
Publicado 2023
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1480por Moore, Brooke NoelTabla de Contenidos: “…-- Critical thinking and argumentative writing -- Evaluating informative claims -- Nonargumentative persuasion -- Pseudoreasoning I -- Pseudoreasoning II -- Explanations -- Understanding and evaluating arguments -- Deductive arguments I: categorical logic -- Deductive arguments II: truth-functional logic -- Inductive arguments -- Causal arguments -- Moral, legal, and aesthetic reasoning.…”
Publicado 1994
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