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3641“…For all five images, the root mean square errors (RMSEs) for area, perimeter, and perimeter/area ratio were smaller using the KM than the OEFE, indicating that the results from the KM are more similar to ground truth. Although the mapped results of the QVPs from finer-spatial resolution images appeared more accurate, accuracy improvement in terms of QVP area, perimeter, and perimeter/area ratio was limited, and most of the QVPs detected only by finer-spatial resolution imagery had a more than 40% difference with the actual QVPs in these three parameters. …”
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3642por Müller, Michael, Schindler, Kaspar, Goodfellow, Marc, Pollo, Claudio, Rummel, Christian, Steimer, Andreas“…Quantifying the accuracy of such tools, however, is nontrivial as a ground truth to verify predictions about hypothetical resections is missing. …”
Publicado 2018
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3643“…We conduct extensive experiments in eight real world networks by simulating the susceptible-infected-recovered (SIR) and susceptible-infected-susceptible (SIS) epidemic models which serve as ground truth identifiers of nodes spreading efficiency. …”
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3644“…This allowed us to establish a ground truth classification for each read based on internal sequence alone. …”
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3645por Han, Xiongzhe, Thomasson, J. Alex, Bagnall, G. Cody, Pugh, N. Ace, Horne, David W., Rooney, William L., Jung, Jinha, Chang, Anjin, Malambo, Lonesome, Popescu, Sorin C., Gates, Ian T., Cope, Dale A.“…Correlations between UAV-based estimates and ground truth were strong on all dates (R(2) > 0.80) but are clearly better on some dates than others. …”
Publicado 2018
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3646“…Two datasets have been created and made publicly available for evaluation purposes; one comprising multi-view depth and 3D optical flow annotated images (DMC2.5D), and a second, consisting of spatio-temporally aligned multi-view depth images along with skeleton, inertial and ground truth MoCap data (DMC3D). The FCN model outperforms its competitors on the DMC2.5D dataset using 2D Percentage of Correct Keypoints (PCK) metric, while the motion capture outcome is evaluated against RGB-D and inertial data fusion approaches on DMC3D, outperforming the next best method by [Formula: see text] in total 3D PCK accuracy.…”
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3647“…Results showed that among considered quality measures, interestingness, reliability and truth outperformed respectively, and yielded precision, sensitivity, specificity and accuracy of more than 90%. …”
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3648por Pain, Charlotte, Kriechbaumer, Verena, Kittelmann, Maike, Hawes, Chris, Fricker, Mark“…We validate the method against manually-traced ground-truth networks, and calibrate the sub-resolution width estimates against ER profiles identified in serial block-face SEM images. …”
Publicado 2019
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3649“…The proposed method is compared to Chan–Vese based level set segmentation method applied to T1 contrast-enhanced and Flair MRI images of brains containing tumors with ground truth. The method is tested in four different phantom patients by considering different tumor volumes and locations and 50 synthetic patients taken from BRATS 2012 and BRATS 2013. …”
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3650“…The present study asked 153 forensic patients in Germany about their behavior during suspect interviewing by the police. Self-reported ground truth of guilt and innocence was asked for, thereby taking into account that the risk of false confession is present only if a person has ever been interviewed when innocent. …”
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3651“…Interviewees of South Asian (n = 60) or White British culture (n = 30) were required to either tell the truth or lie about two experienced tasks while being interviewed by somebody from their own (n = 60) or different culture (n = 30). …”
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3652por van Hartskamp, Michael, Consoli, Sergio, Verhaegh, Wim, Petkovic, Milan, van de Stolpe, Anja“…We propose six recommendations—the 6Rs—to improve AI projects in the biomedical space, especially clinical health care, and to facilitate communication between AI scientists and medical doctors: (1) Relevant and well-defined clinical question first; (2) Right data (ie, representative and of good quality); (3) Ratio between number of patients and their variables should fit the AI method; (4) Relationship between data and ground truth should be as direct and causal as possible; (5) Regulatory ready; enabling validation; and (6) Right AI method.…”
Publicado 2019
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3653“…Ideal validation for such methods is application to simulated data, where some ‘truth’ is known. As GWAS increase in size, so does the computational complexity of such evaluations; standard practice repeatedly simulates and analyses genotype data for all individuals in an example study. …”
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3654“…The proposed method was evaluated on fluorescence microscopy image stacks of single neurons and dense neuronal networks with expert manual annotations serving as the gold standard, as well as on synthetic images with known ground truth. The results indicate that our method performs well under varying experimental conditions and compares favorably to state-of-the-art alternative methods. …”
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3655“…These results provide empirical evidence and suggest specific ways in which peer interaction can be used effectively to promote conceptual change in school settings, in a knowledge domain at the center of this era’s post truth and science denial crisis.…”
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3656por Bauer, Zuria, Gomez-Donoso, Francisco, Cruz, Edmanuel, Orts-Escolano, Sergio, Cazorla, Miguel“…Nonetheless, these methods require large amounts of reliable ground-truth data. Despite there already existing several datasets that could be used for depth estimation, almost none of them are outdoor-oriented from an egocentric point of view. …”
Publicado 2019
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3657“…To validate and train the proposed model, we collected large quantities of datasets, which are video clips of the physical interactions between two objects under different conditions (illumination and angle variations) and the corresponding interaction forces measured by the haptic sensor (as the ground truth). Our experimental results confirmed our hypothesis; when compared with previous models, the proposed model was more accurate and efficient, and although its model size was 10 times smaller, the 3D convolutional neural network architecture exhibited better accuracy. …”
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3658WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth Image“…Jointly estimating hand shape and pose is very challenging because none of the existing real benchmarks provides ground truth hand shape. For this reason, we propose a novel weakly-supervised approach for 3D hand shape and pose recovery (named WHSP-Net) from a single depth image by learning shapes from unlabeled real data and labeled synthetic data. …”
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3659por Eriksson, Jonatan O., Rezeli, Melinda, Hefner, Max, Marko-Varga, Gyorgy, Horvatovich, Peter“…We show that our method can recall more ground-truth molecules, molecule fragments, and isotopes than existing methods based on binning. …”
Publicado 2019
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3660por Kumar, Venkatesh, Vollbrecht, Thomas, Chernyshev, Mark, Mohan, Sanjay, Hanst, Brian, Bavafa, Nicholas, Lorenzo, Antonia, Kumar, Nikesh, Ketteringham, Robert, Eren, Kemal, Golden, Michael, Oliveira, Michelli F, Murrell, Ben“…On two Mock Virus Community datasets with ground truth, each sequenced on a different PacBio instrument, and on a number of simulated datasets, we compare our two approaches to each other and to existing algorithms. …”
Publicado 2019
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